Joseph G. Ibrahim

Joseph G. Ibrahim's AcademicInfluence.com Rankings

Joseph G. Ibrahim

Mathematics

#6085

World Rank

#8490

Historical Rank

#1887

USA Rank

Statistics

#518

World Rank

#596

Historical Rank

#146

USA Rank

Measure Theory

#1110

World Rank

#1424

Historical Rank

#407

USA Rank

mathematics Degrees

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Mathematics

Joseph G. Ibrahim's Degrees

PhD Statistics University of North Carolina at Chapel Hill
Masters Statistics University of North Carolina at Chapel Hill
Bachelors Mathematics University of North Carolina at Chapel Hill

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Joseph G. Ibrahim's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences (2018) (729)
Bayesian Survival Analysis (2004) (634)
Power prior distributions for regression models (2000) (614)
A Pooled Analysis of Eastern Cooperative Oncology Group and Intergroup Trials of Adjuvant High-Dose Interferon for Melanoma (2004) (511)
Missing-Data Methods for Generalized Linear Models (2005) (475)
UGT1A1*28 genotype and irinotecan-induced neutropenia: dose matters. (2007) (469)
A New Bayesian Model For Survival Data With a Surviving Fraction (1999) (465)
Monte Carlo Methods in Bayesian Computation (2000) (389)
Missing data methods in longitudinal studies: a review (2009) (361)
Predictive Model Selection (1995) (355)
Incomplete Data in Generalized Linear Models (1990) (329)
Basic concepts and methods for joint models of longitudinal and survival data. (2010) (316)
Use of historical control data for assessing treatment effects in clinical trials (2014) (297)
Estimating Cure Rates From Survival Data (2003) (297)
Missing covariates in generalized linear models when the missing data mechanism is non‐ignorable (1999) (285)
INK4/ARF Transcript Expression Is Associated with Chromosome 9p21 Variants Linked to Atherosclerosis (2009) (269)
Missing responses in generalised linear mixed models when the missing data mechanism is nonignorable (2001) (224)
Effect of cytotoxic chemotherapy on markers of molecular age in patients with breast cancer. (2014) (204)
A Bayesian semiparametric joint hierarchical model for longitudinal and survival data. (2003) (199)
A semiparametric Bayesian approach to the random effects model. (1998) (197)
ZINBA integrates local covariates with DNA-seq data to identify broad and narrow regions of enrichment, even within amplified genomic regions (2011) (193)
A Flexible B‐Spline Model for Multiple Longitudinal Biomarkers and Survival (2005) (188)
Genotype-guided tamoxifen dosing increases active metabolite exposure in women with reduced CYP2D6 metabolism: a multicenter study. (2011) (183)
The power prior: theory and applications (2015) (180)
Joint Models for Multivariate Longitudinal and Multivariate Survival Data (2006) (175)
Fixed and Random Effects Selection in Mixed Effects Models (2011) (153)
Cure rate models: A unified approach (2005) (153)
On Bayesian Analysis of Generalized Linear Models Using Jeffreys's Prior (1991) (152)
Bayesian Models for Gene Expression With DNA Microarray Data (2002) (152)
Missing data in clinical studies: issues and methods. (2012) (148)
Semiparametric Transformation Models for Survival Data With a Cure Fraction (2006) (139)
A conditional model for incomplete covariates in parametric regression models (1996) (138)
Handbook of survival analysis (2014) (138)
Monte Carlo EM for Missing Covariates in Parametric Regression Models (1999) (137)
Joint modeling of survival and longitudinal non‐survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group (2015) (128)
BAYESIAN METHODS FOR JOINT MODELING OF LONGITUDINAL AND SURVIVAL DATA WITH APPLICATIONS TO CANCER VACCINE TRIALS (2004) (127)
Model Selection Criteria for Missing-Data Problems Using the EM Algorithm (2008) (125)
A Weighted Estimating Equation for Missing Covariate Data with Properties Similar to Maximum Likelihood (1999) (120)
In Vitro Hepatic Metabolism Explains Higher Clearance of Voriconazole in Children versus Adults: Role of CYP2C19 and Flavin-Containing Monooxygenase 3 (2010) (119)
Bayesian Semiparametric Models for Survival Data with a Cure Fraction (2001) (114)
Perturbation selection and influence measures in local influence analysis (2007) (113)
Prior elicitation, variable selection and Bayesian computation for logistic regression models (1999) (113)
A Predictive Approach to the Analysis of Designed Experiments (1994) (107)
REC, Drosophila MCM8, Drives Formation of Meiotic Crossovers (2005) (99)
A semi-parametric Bayesian approach to generalized linear mixed models. (1998) (98)
Bayesian methods for generalized linear models with covariates missing at random (2002) (95)
Postdiagnosis Change in Bodyweight and Survival After Breast Cancer Diagnosis (2012) (95)
Bayesian Inference for Multivariate Survival Data with a Cure Fraction (2002) (95)
Parameter Estimation in Longitudinal Studies with Outcome‐Dependent Follow‐Up (2002) (92)
Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model (2001) (91)
Bayesian Approaches to Joint Cure‐Rate and Longitudinal Models with Applications to Cancer Vaccine Trials (2003) (88)
Statistical Analysis of Diffusion Tensors in Diffusion-Weighted Magnetic Resonance Imaging Data (2007) (87)
Maximum Likelihood Methods for Cure Rate Models with Missing Covariates (2001) (85)
Genomewide Multiple-Loci Mapping in Experimental Crosses by Iterative Adaptive Penalized Regression (2010) (85)
Power prior distributions for generalized linear models (2000) (83)
The relationship between the power prior and hierarchical models (2006) (83)
On Optimality Properties of the Power Prior (2003) (82)
Intrinsic Regression Models for Positive-Definite Matrices With Applications to Diffusion Tensor Imaging (2009) (80)
Conjugate priors for generalized linear models (2003) (80)
Criterion-based methods for Bayesian model assessment (2001) (78)
Maximum Likelihood Methods for Nonignorable Missing Responses and Covariates in Random Effects Models (2003) (78)
Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease (2016) (78)
Bayesian variable selection for proportional hazards models (1999) (76)
The Treatment and Outcome of Cancer Patients with Thromboses on Central Venous Catheters (2000) (75)
A Bayesian justification of Cox's partial likelihood (2003) (75)
Estimating equations with incomplete categorical covariates in the Cox model. (1998) (74)
Bayesian Model Averaging With Applications to Benchmark Dose Estimation for Arsenic in Drinking Water (2006) (74)
Use of the Probability Integral Transformation to Fit Nonlinear Mixed-Effects Models With Nonnormal Random Effects (2006) (73)
Using auxiliary data for parameter estimation with non‐ignorably missing outcomes (2001) (73)
Parameter estimation from incomplete data in binomial regression when the missing data mechanism is nonignorable. (1996) (72)
Large-scale GWAS reveals genetic architecture of brain white matter microstructure and genetic overlap with cognitive and mental health traits (n=17,706) (2019) (71)
Multiscale adaptive regression models for neuroimaging data (2011) (70)
A Note on Permutation Tests for Variance Components in Multilevel Generalized Linear Mixed Models (2007) (70)
GEE with Gaussian Estimation of the Correlations When Data Are Incomplete (2000) (68)
Using Historical Controls to Adjust for Covariates in Trend Tests for Binary Data (1998) (67)
Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers (2014) (64)
Regression Models for Identifying Noise Sources in Magnetic Resonance Images (2009) (63)
Defective cell cycle checkpoint functions in melanoma are associated with altered patterns of gene expression. (2008) (63)
Post-diagnosis physical activity and survival after breast cancer diagnosis: the Long Island Breast Cancer Study (2014) (62)
Regression models on Riemannian symmetric spaces (2017) (60)
Bayesian Design of Noninferiority Trials for Medical Devices Using Historical Data (2011) (60)
VARIABLE SELECTION FOR REGRESSION MODELS WITH MISSING DATA. (2010) (58)
A new joint model for longitudinal and survival data with a cure fraction (2004) (55)
Non‐ignorable missing covariate data in survival analysis: a case‐study of an International Breast Cancer Study Group trial (2004) (54)
Sample size and power determination in joint modeling of longitudinal and survival data (2011) (54)
Using the EM-algorithm for survival data with incomplete categorical covariates (1996) (54)
An Estimate of the Odds Ratio That Always Exists (2002) (53)
Bayesian Case Influence Diagnostics for Survival Models (2009) (53)
n–3 Fatty acids, hypertension and risk of cognitive decline among older adults in the Atherosclerosis Risk in Communities (ARIC) study (2008) (53)
An extension of the Wilcoxon rank sum test for complex sample survey data (2012) (52)
Bayesian clinical trial design using historical data that inform the treatment effect. (2019) (51)
Variable Selection in Regression Mixture Modeling for the Discovery of Gene Regulatory Networks (2007) (51)
A Statistical Analysis of Brain Morphology Using Wild Bootstrapping (2007) (50)
Structured Measurement Error in Nutritional Epidemiology (2007) (50)
Theory and Inference for Regression Models with Missing Responses and Covariates. (2008) (50)
Bayesian influence analysis: a geometric approach. (2011) (50)
The Bayesian Covariance Lasso. (2013) (49)
Prior elicitation for model selection and estimation in generalized linear mixed models (2003) (48)
The Large Sample Distribution of the Weighted Log Rank Statistic Under General Local Alternatives (1997) (48)
Bayesian Analysis for Generalized Linear Models with Nonignorably Missing Covariates (2005) (48)
JMFit: A SAS Macro for Joint Models of Longitudinal and Survival Data. (2016) (47)
Bayesian Meta‐Experimental Design: Evaluating Cardiovascular Risk in New Antidiabetic Therapies to Treat Type 2 Diabetes (2012) (46)
Bayesian Variable Selection and Computation for Generalized Linear Models with Conjugate Priors. (2008) (46)
Patterns of cell cycle checkpoint deregulation associated with intrinsic molecular subtypes of human breast cancer cells (2017) (45)
Bayesian Lasso for Semiparametric Structural Equation Models (2012) (44)
Amplification of thymidylate synthetase in metastatic colorectal cancer patients pretreated with 5-fluorouracil-based chemotherapy. (2010) (44)
Non-ignorable missing covariates in generalized linear models. (1999) (44)
Tamoxifen Dose Escalation in Patients With Diminished CYP2D6 Activity Normalizes Endoxifen Concentrations Without Increasing Toxicity. (2016) (44)
Gamma frailty transformation models for multivariate survival times. (2009) (43)
Properties and Implementation of Jeffreys’s Prior in Binomial Regression Models (2008) (43)
A generalized linear mixed model for longitudinal binary data with a marginal logit link function. (2011) (43)
A General Class of Bayesian Survival Models with Zero and Nonzero Cure Fractions (2005) (43)
FLCRM: Functional linear cox regression model (2018) (43)
Intrinsic Regression Models for Manifold-Valued Data. (2009) (42)
Predictive specification of prior model probabilities in variable selection (1996) (41)
A partial correlation coefficient and coefficient of determination for multivariate normal repeated measures data (2001) (41)
An Estimating Equations Approach for Modelling Kappa (2000) (41)
Semiparametric Models for Missing Covariate and Response Data in Regression Models (2006) (40)
Abasic sites preferentially form at regions undergoing DNA replication (2010) (39)
In vivo assessment of the metabolic activity of CYP2D6 diplotypes and alleles. (2015) (38)
Assessing model fit in joint models of longitudinal and survival data with applications to cancer clinical trials (2014) (38)
A Class of Bayesian Shared Gamma Frailty Models with Multivariate Failure Time Data (2005) (37)
Joint generalized estimating equations for multivariate longitudinal binary outcomes with missing data: an application to acquired immune deficiency syndrome data (2009) (37)
A community-based multicenter trial of pharmacokinetically guided 5-fluorouracil dosing for personalized colorectal cancer therapy. (2014) (37)
Heritability of Regional Brain Volumes in Large-Scale Neuroimaging and Genetic Studies. (2018) (36)
Consumption of trans-fatty acid and its association with colorectal adenomas. (2008) (36)
Bayesian Influence Measures for Joint Models for Longitudinal and Survival Data (2012) (36)
Maximum likelihood estimation in generalized linear models with multiple covariates subject to detection limits (2011) (35)
trans-Fatty acid consumption and its association with distal colorectal cancer in the North Carolina Colon Cancer Study II (2009) (35)
LIKELIHOOD-BASED INFERENCE WITH NONIGNORABLE MISSING RESPONSES AND COVARIATES IN MODELS FOR DISCRETE LONGITUDINAL DATA (2006) (33)
Using a Box–Cox transformation in the analysis of longitudinal data with incomplete responses (2000) (32)
An Information Matrix Prior for Bayesian Analysis in Generalized Linear Models with High Dimensional Data. (2009) (32)
Joint modeling of longitudinal and survival data with missing and left‐censored time‐varying covariates (2014) (32)
Heterogeneity in phase I clinical trials: prior elicitation and computation using the continual reassessment method (2001) (32)
Bayesian approaches to joint longitudinal and survival models accommodating both zero and nonzero cure fractions (2007) (31)
Current Methods for Recurrent Events Data With Dependent Termination (2008) (31)
Bayesian Methods for Missing Covariates in Cure Rate Models (2002) (31)
Nonparametric expression analysis using inferential replicate counts (2019) (30)
Estimating treatment effects with treatment switching via semicompeting risks models: an application to a colorectal cancer study. (2012) (30)
Pseudo‐likelihood methods for longitudinal binary data with non‐ignorable missing responses and covariates (2006) (30)
Bayesian criterion based model assessment for categorical data (2004) (30)
Bayesian Variable Selection (2000) (30)
Timeless functions independently of the Tim-Tipin complex to promote sister chromatid cohesion in normal human fibroblasts (2011) (29)
Variable Selection in the Cox Regression Model with Covariates Missing at Random (2010) (28)
The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments. (2018) (28)
On Bayesian Inference for Proportional Hazards Models Using Noninformative Priors (2000) (28)
Bias in Estimating Association Parameters for Longitudinal Binary Responses with Drop‐Outs (2001) (28)
Local Influence for Generalized Linear Models with Missing Covariates (2009) (27)
PERTURBATION AND SCALED COOK'S DISTANCE. (2012) (27)
Bayesian cure rate models for malignant melanoma: a case‐study of Eastern Cooperative Oncology Group trial E1690 (2002) (26)
BFLCRM: A BAYESIAN FUNCTIONAL LINEAR COX REGRESSION MODEL FOR PREDICTING TIME TO CONVERSION TO ALZHEIMER'S DISEASE. (2015) (26)
Bayesian Model Assessment in Joint Modeling of Longitudinal and Survival Data With Applications to Cancer Clinical Trials (2017) (25)
A Semiparametric Mixture Model for Analyzing Clustered Competing Risks Data (2005) (25)
Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching (2014) (25)
Single-nucleotide polymorphisms are associated with cognitive decline at Alzheimer's disease conversion within mild cognitive impairment patients (2017) (25)
Proximity Model for Expression Quantitative Trait Loci (eQTL) Detection (2007) (24)
A Bayesian compartmental model for the evaluation of 1,3‐butadiene metabolism (2003) (24)
BAYESIAN VARIABLE SELECTION FOR TIME SERIES COUNT DATA (2000) (24)
Diagnostic measures for empirical likelihood of general estimating equations (2008) (24)
Use of historical controls in time-adjusted trend tests for carcinogenicity. (1996) (24)
Maximum likelihood inference for the Cox regression model with applications to missing covariates (2009) (23)
Intrinsic Regression Models for Manifold-Valued Data (2009) (23)
Estimation with correlated censored survival data with missing covariates. (2000) (23)
Longitudinal design for phase I clinical trials using the continual reassessment method. (2000) (23)
A weighted estimating equation for linear regression with missing covariate data (2002) (22)
Posterior propriety and computation for the Cox regression model with applications to missing covariates (2006) (22)
Separation of intra-S checkpoint protein contributions to DNA replication fork protection and genomic stability in normal human fibroblasts (2013) (22)
Time course investigation of PPARalpha- and Kupffer cell-dependent effects of WY-14,643 in mouse liver using microarray gene expression. (2007) (22)
Inference for a Class of Transformed Hazards Models (2005) (22)
Bayesian Error‐in‐Variable Survival Model for the Analysis of GeneChip Arrays (2005) (21)
Loss of lung function among sheet metal workers: ten-year study. (1997) (21)
Semiparametric Bayesian Methods for Random Effects Models (1998) (21)
Mapping the Genetic Variation of Regional Brain Volumes as Explained by All Common SNPs from the ADNI Study (2013) (21)
Likelihood Methods for Incomplete Longitudinal Binary Responses with Incomplete Categorical Covariates (1999) (21)
Wavelet Thresholding with Bayesian False Discovery Rate Control (2005) (21)
A Bayesian hierarchical model for network meta‐analysis of multiple diagnostic tests (2018) (21)
A prognostic signature of defective p53‐dependent G1 checkpoint function in melanoma cell lines (2012) (20)
Estimation in regression models for longitudinal binary data with outcome-dependent follow-up. (2005) (20)
Bayesian probability of success for clinical trials using historical data (2015) (20)
Predictive model selection for repeated measures random effects models using Bayes factors. (1997) (20)
Propriety of the Posterior Distribution and Existence of the MLE for Regression Models With Covariates Missing at Random (2004) (20)
Bayesian adaptive basket trial design using model averaging. (2019) (19)
Bayesian predictive simultaneous variable and transformation selection in the linear model (1998) (19)
Identifiability of PBPK models with applications to dimethylarsinic acid exposure (2015) (19)
Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies (2017) (19)
Bayesian variable selection for the Cox regression model with missing covariates (2008) (19)
Associations Between Trans Fatty Acid Consumption and Colon Cancer Among Whites and African Americans in the North Carolina Colon Cancer Study I (2009) (18)
Bayesian local influence for survival models (2011) (18)
Frailty Models with Missing Covariates (2002) (18)
Bias correction for the proportional odds logistic regression model with application to a study of surgical complications (2013) (18)
Measurement error adjustment in essential fatty acid intake from a food frequency questionnaire: alternative approaches and methods (2007) (18)
A protective estimator for longitudinal binary data subject to non‐ignorable non‐monotone missingness (2005) (18)
Maximum likelihood estimation in random effects cure rate models with nonignorable missing covariates. (2002) (18)
A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images (2008) (17)
Bayesian methods in clinical trials: a Bayesian analysis of ECOG trials E1684 and E1690 (2012) (17)
Diagnostic Measures for Generalized Linear Models with Missing Covariates (2009) (17)
Bayesian Sensitivity Analysis of Statistical Models with Missing Data. (2014) (17)
A Bayesian framework for intent-to-treat analysis with missing data. (1998) (17)
A temporal hidden Markov regression model for the analysis of gene regulatory networks. (2006) (16)
Bayesian sequential meta‐analysis design in evaluating cardiovascular risk in a new antidiabetic drug development program (2014) (16)
A practical Bayesian adaptive design incorporating data from historical controls (2018) (16)
Bayesian design of superiority clinical trials for recurrent events data with applications to bleeding and transfusion events in myelodyplastic syndrome (2014) (16)
A simple method for estimating a regression model for κ between a pair of raters (2001) (16)
On the estimation of disease prevalence by latent class models for screening studies using two screening tests with categorical disease status verified in test positives only (2010) (16)
MARM: Multiscale Adaptive Regression Models for Neuroimaging Data (2009) (16)
TPRM: TENSOR PARTITION REGRESSION MODELS WITH APPLICATIONS IN IMAGING BIOMARKER DETECTION. (2015) (15)
Development of DNA Damage Response Signaling Biomarkers using Automated, Quantitative Image Analysis (2014) (15)
A Bayesian proportional hazards regression model with non‐ignorably missing time‐varying covariates (2010) (15)
Identification of Differentially Expressed Genes in High‐Density Oligonucleotide Arrays Accounting for the Quantification Limits of the Technology (2003) (15)
Bayesian transformation hazard models (2006) (15)
MRLocus: Identifying causal genes mediating a trait through Bayesian estimation of allelic heterogeneity (2020) (15)
Incomplete covariates in the Cox model with applications to biological marker data (2001) (14)
Projection Regression Models for Multivariate Imaging Phenotype (2012) (14)
Statistical Analysis of Diffusion Tensors in Diffusion-weighted Magnetic Resonance Image Data ( Technical Details ) ∗ (2007) (14)
Bayesian Predictive Inference for Time Series Count Data (2000) (14)
SPReM: Sparse Projection Regression Model For High-Dimensional Linear Regression (2015) (14)
On properties of predictive priors in linear models (1997) (13)
Estimating time-varying effects for overdispersed recurrent events data with treatment switching. (2013) (13)
Bayesian inference for multivariate meta‐analysis Box–Cox transformation models for individual patient data with applications to evaluation of cholesterol‐lowering drugs (2013) (13)
Nested Case-Control and Case-Cohort Studies (2016) (13)
Bayesian frailty models based on box-cox transformed hazards (2005) (13)
Comprehensive assessment of cytochromes P450 and transporter genetics with endoxifen concentration during tamoxifen treatment (2017) (12)
A Bayesian Hidden Markov Model for Motif Discovery Through Joint Modeling of Genomic Sequence and ChIP‐Chip Data (2009) (12)
Cure Rate Models (2001) (12)
A prognostic signature of G₂ checkpoint function in melanoma cell lines (2013) (12)
Drosophila MCM 8 , Drives Formation of Meiotic Crossovers (2005) (12)
The Use of Bayesian Hierarchical Models for Adaptive Randomization in Biomarker-Driven Phase II Studies (2015) (12)
Bayesian Methods for a Three–State Model for Rodent Carcinogenicity Studies (2002) (11)
A degrees-of-freedom approximation for a t-statistic with heterogeneous variance (1999) (11)
Bayesian Case Influence Measures for Statistical Models With Missing Data (2012) (11)
ICeD-T Provides Accurate Estimates of Immune Cell Abundance in Tumor Samples by Allowing for Aberrant Gene Expression Patterns (2018) (11)
Sieve Maximum Likelihood Estimation for Regression Models With Covariates Missing at Random (2007) (11)
Predictive variable selection for the multivariate linear model. (1997) (11)
Modeling Between-Study Heterogeneity for Improved Replicability in Gene Signature Selection and Clinical Prediction (2017) (11)
A note on the relationships between multiple imputation, maximum likelihood and fully Bayesian methods for missing responses in linear regression models. (2014) (11)
Bayesian Design of Non-Inferiority Trials for Medical Devices Using Historical Data (2011) (11)
Estimation and inference for case-control studies with multiple non-gold standard exposure assessments: with an occupational health application. (2009) (11)
Cyclobutane Pyrimidine Dimer Density as a Predictive Biomarker of the Biological Effects of Ultraviolet Radiation in Normal Human Fibroblast (2014) (10)
Joint Models for Longitudinal and Survival Data (2001) (10)
Responses to discussants of ‘Joint modeling of survival and longitudinal non‐survival data: current methods and issues. report of the DIA Bayesian joint modeling working group’ (2015) (10)
Multivariate Recurrent Events in the Presence of Multivariate Informative Censoring with Applications to Bleeding and Transfusion Events in Myelodysplastic Syndrome (2014) (10)
Bayesian Inference for Multivariate Meta-Regression With a Partially Observed Within-Study Sample Covariance Matrix (2015) (10)
Group sequential designs for cure rate models with early stopping in favour of the null hypothesis. (2000) (10)
PRIOR DISTRIBUTIONS AND BAYESIAN COMPUTATION FOR PROPORTIONAL HAZARDS MODELS (2016) (10)
Joint generalized estimating equations for multivariate longitudinal binary outcomes with missing data: An application to AIDS data. (2009) (10)
Effect of grass sublingual tablet immunotherapy is similar in children and adults: A Bayesian approach to design pediatric sublingual immunotherapy trials (2017) (9)
On inference of control-based imputation for analysis of repeated binary outcomes with missing data (2017) (9)
Diagnostic measures for the Cox regression model with missing covariates (2015) (9)
Control‐based imputation for sensitivity analyses in informative censoring for recurrent event data (2017) (9)
On propriety of the posterior distribution and existence of the maximum likelihood estimator for regression models with covariates missing at random (2004) (9)
The TBX21 transcription factor T-1993C polymorphism is associated with decreased IFN-γ and IL-4 production by primary human lymphocytes. (2012) (9)
Missing Covariate Data (2001) (8)
Biomarker threshold adaptive designs for survival endpoints (2018) (8)
A Bivariate Pseudolikelihood for Incomplete Longitudinal Binary Data with Nonignorable Nonmonotone Missingness (2011) (8)
A weighted combination of pseudo‐likelihood estimators for longitudinal binary data subject to non‐ignorable non‐monotone missingness (2010) (8)
Bayesian Spatial Transformation Models with Applications in Neuroimaging Data (2013) (8)
Sample Size Determination in Shared Frailty Models for Multivariate Time-to-Event Data (2014) (8)
Bayesian Sensitivity Analysis of a Nonlinear Dynamic Factor Analysis Model with Nonparametric Prior and Possible Nonignorable Missingness (2017) (8)
Flexible Stopping Boundaries When Changing Primary Endpoints After Unblinded Interim Analyses (2014) (8)
Association between herpes simplex virus type 1 and Helicobacter pylori in US adolescents. (2006) (8)
Bayesian design of a survival trial with a cured fraction using historical data (2018) (7)
Generalized linear models with a coarsened covariate (2004) (7)
DNA Damage Checkpoint Responses in the S Phase of Synchronized Diploid Human Fibroblasts (2014) (7)
A Bayesian Hierarchical Model for the Analysis of Affymetrix Arrays (2004) (7)
Bayesian Transformation Models for Multivariate Survival Data (2014) (7)
Forecasting the number of future disabled elderly using Markovian and mathematical models. (1991) (7)
Patients' Understanding of How Genotype Variation Affects Benefits of Tamoxifen Therapy for Breast Cancer (2014) (7)
Functional‐Mixed Effects Models for Candidate Genetic Mapping in Imaging Genetic Studies (2014) (6)
Variable Selection by Bayesian Adaptive Lasso and Iterative Adaptive Lasso, with Application for Genome-wide Multiple Loci Mapping (2009) (6)
TWO-STAGE EMPIRICAL LIKELIHOOD FOR LONGITUDINAL NEUROIMAGING DATA. (2011) (6)
Global identifiability of latent class models with applications to diagnostic test accuracy studies: A Gröbner basis approach (2019) (6)
On the normalized power prior (2020) (6)
Some Statistical Strategies for DAE-seq Data Analysis: Variable Selection and Modeling Dependencies Among Observations (2014) (6)
Markov Chain Monte Carlo Sampling (2000) (6)
A new class of mixture models for differential gene expression in DNA microarray data. (2008) (6)
An Automated High-throughput Array Microscope for Cancer Cell Mechanics (2016) (6)
Quantifying the average of the time-varying hazard ratio via a class of transformations (2015) (6)
Change‐point models to estimate the limit of detection (2013) (6)
Bayesian inference for survival data with a surviving fraction (2003) (6)
POST-DIAGNOSIS CHANGE IN BODYWEIGHT AND SURVIVAL AFTER BREAST CANCER DIAGNOSIS (2013) (6)
Partial least squares for functional joint models with applications to the Alzheimer's disease neuroimaging initiative study (2020) (6)
MILFM: Multiple index latent factor model based on high‐dimensional features (2018) (6)
Models for survival data from cancer prevention studies (2002) (6)
Bayesian Hierarchical Modeling for Time Course Microarray Experiments (2007) (6)
Default Bayes factors for generalized linear models (2000) (6)
Bayesian modeling and inference for clinical trials with partial retrieved data following dropout (2013) (5)
Bayesian Analysis of the Cox Model (2013) (5)
Effective intra‐S checkpoint responses to UVC in primary human melanocytes and melanoma cell lines (2016) (5)
Rejoinder on: Missing data methods in longitudinal studies: a review (2009) (5)
Protective estimator for linear regression with nonignorably missing Gaussian outcomes (2004) (5)
Does increasing the daily tamoxifen dose in patients with diminished CYP2D6 activity increase toxicity (2014) (5)
Hypothesis testing for two‐stage designs with over or under enrollment (2015) (5)
Testing for bias in weighted estimating equations. (2001) (5)
Functional Linear Regression Models for Nonignorable Missing Scalar Responses. (2018) (5)
A hierarchical model for incomplete alignments in phylogenetic inference (2009) (5)
Computing Bayesian Credible and HPD Intervals (2000) (5)
RADTI: regression analyses of diffusion tensor images (2009) (5)
Efficient methods for signal detection from correlated adverse events in clinical trials (2019) (4)
A marginal estimate for the overall treatment effect on a survival outcome within the joint modeling framework (2020) (4)
Meta‐analysis methods and models with applications in evaluation of cholesterol‐lowering drugs (2012) (4)
Joint modelling of longitudinal and survival data in the presence of competing risks with applications to prostate cancer data (2020) (4)
LCN: a random graph mixture model for community detection in functional brain networks. (2017) (4)
A hierarchical testing approach for detecting safety signals in clinical trials (2020) (4)
Bayesian Modeling and Inference for Nonignorably Missing Longitudinal Binary Response Data with Applications to HIV Prevention Trials. (2018) (4)
Hard thresholding regression (2018) (4)
Using missing data methods in genetic studies with missing mutation status. (1999) (4)
Estimating Ratios of Normalizing Constants (2000) (4)
Intrinsic Regression Models for Medial Representation of Subcortical Structures (2012) (4)
Semiparametric regression analysis for composite endpoints subject to componentwise censoring (2018) (4)
Is activation of the intra-S checkpoint in human fibroblasts an important factor in protection against UV-induced mutagenesis? (2013) (4)
Bayesian Case-deletion Model Complexity and Information Criterion. (2014) (4)
Mapping Tumor-Specific Expression QTLs in Impure Tumor Samples (2017) (4)
SR-HARDI: Spatially Regularizing High Angular Resolution Diffusion Imaging (2016) (3)
Bayesian design of clinical trials using joint models for longitudinal and time-to-event data. (2020) (3)
Application of pharmacokinetic (PK)-guided 5-fluorouracil (FU) in clinical practice. (2013) (3)
Bayesian Model Selection in Survival Analysis (2005) (3)
A Bivariate Pseudo-Likelihood for Incomplete Longitudinal Binary Data with Nonignorable Non-monotone Missingness (2011) (3)
Statistical strategies to improve the efficiency of molecular studies of colorectal cancer prognosis (2008) (3)
LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures (2023) (3)
Approach to the Random Effects Model (2016) (3)
Large-scale neuroimaging and genetic study reveals genetic architecture of brain white matter microstructure (2018) (3)
Network meta‐regression for ordinal outcomes: Applications in comparing Crohn's disease treatments (2020) (3)
Statistical design of noninferiority multiple region clinical trials to assess global and consistent treatment effects (2017) (3)
Modeling event count data in the presence of informative dropout with application to bleeding and transfusion events in myelodysplastic syndrome (2017) (3)
Prior Elicitation for Semiparametric Bayesian Survival Analysis (1998) (3)
Bayesian multivariate skew meta-regression models for individual patient data (2018) (3)
Pseudo-likelihood Methods for the Analysis of Longitudinal Binary Data Subject to Nonignorable Non-monotone Missingness (2021) (3)
A Bayesian Joint model for Longitudinal DAS28 Scores and Competing Risk Informative Drop Out in a Rheumatoid Arthritis Clinical Trial (2018) (2)
Semiparametric frailty models for zero‐inflated event count data in the presence of informative dropout (2019) (2)
Quantifying time-varying cause-specific hazard and subdistribution hazard ratios with competing risks data (2019) (2)
A new Bayesian joint model for longitudinal count data with many zeros, intermittent missingness, and dropout with applications to HIV prevention trials (2019) (2)
Comment: Incomplete Data in Clinical Studies: Analysis, Sensitivity, and Sensitivity Analysis (2009) (2)
Estimating Marginal Posterior Densities (2000) (2)
The Midpoint Mixed Model with a Missingness Mechanism (M5): A Likelihood-Based Framework for Quantification of Mass Spectrometry Proteomics Data (Preprint) (2015) (2)
Bayesian Approaches to Cure Rate Models (2005) (2)
Homology cluster differential expression analysis for interspecies mRNA-Seq experiments (2015) (2)
FLCRM: Functional Linear Cox Regression Models (2014) (2)
Bayesian inference for network meta-regression using multivariate random effects with applications to cholesterol lowering drugs. (2019) (2)
A STATISTICAL MODEL TO ASSESS (ALLELE-SPECIFIC) ASSOCIATIONS BETWEEN GENE EXPRESSION AND EPIGENETIC FEATURES USING SEQUENCING DATA. (2016) (2)
Assessment of Fit in Longitudinal Data for Joint Models with Applications to Cancer Clinical Trials (2015) (2)
A Counterfactual P-Value Approach for Benefit-Risk Assessment in Clinical Trials (2015) (2)
Weighted functional linear Cox regression model (2021) (2)
Bayesian design of biosimilars clinical programs involving multiple therapeutic indications (2019) (2)
Simulating Clustered Survival Data with Proportional Hazards Margins (2009) (2)
Controlling false discovery proportion in identification of drug‐related adverse events from multiple system organ classes (2019) (2)
A Semiparametric Bayesian Approach for Estimating the Gene Expression Distribution (2010) (1)
THE EFFECTS OF NON-IGNORABLE MISSING DATA ON LABEL-FREE MASS SPECTROMETRY PROTEOMICS (2018) (1)
Prediction of future risk of any and higher-grade prostate cancer based on the PLCO and SELECT trials (2022) (1)
HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle Statistics (2017) (1)
Model-Based Feature Selection and Clustering of Rna-Seq Data for Unsupervised Subtype Discovery (2020) (1)
Handling Non-ignorably Missing Features in Electronic Health Records Data Using Importance-Weighted Autoencoders (2021) (1)
Monte Carlo Methods for Constrained Parameter Problems (2000) (1)
Assessing temporal agreement between central and local progression‐free survival times (2015) (1)
BayesPPD: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Generalized Linear Models (2021) (1)
Heritability of regional brain volumes in large-scale neuroimaging and genetic studies (2017) (1)
Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures (2022) (1)
Differential expression analysis with global network adjustment (2013) (1)
Reply to Comments (2016) (1)
Pattern mixture models for clinical validation of biomarkers in the presence of missing data (2017) (1)
A BAYESIAN FUNCTIONAL LINEAR COX REGRESSION MODEL (BFLCRM) FOR PREDICTING TIME TO CONVERSION TO ALZHEIMER’S DISEASE∗ (2014) (1)
Abstract P1-03-02: CYP2D6 intermediate metabolizers includes patient groups with distinct metabolic activity (2015) (1)
In Silico Construction of a Protein Interaction Landscape for Nucleotide Excision Repair (2009) (1)
The scale transformed power prior for use with historical data from a different outcome model (2021) (1)
Penalized logistic regression using functional connectivity as covariates with an application to mild cognitive impairment (2020) (1)
Differential expression analysis with global network adjustment (2013) (1)
Bayesian clinical trial design using Markov models with applications to autoimmune disease. (2017) (1)
Efficient Multiple Imputation for Sensitivity Analysis of Recurrent Events Data with Informative Censoring (2020) (1)
Joint analysis of single‐cell and bulk tissue sequencing data to infer intratumor heterogeneity (2019) (1)
BayesCTDesign: An R Package for Bayesian Trial Design Using Historical Control Data (2021) (1)
Bayesian Analysis of Survival Data with Semi-competing Risks and Treatment Switching (2013) (0)
Mixture survival trees for cancer risk classification (2022) (0)
Bayesian adaptive design for concurrent trials involving biologically related diseases. (2020) (0)
Breast Cancer Tamoxifen Dose Escalation in Patients With Diminished CYP 2 D 6 Activity Normalizes Endoxifen Concentrations Without Increasing Toxicity (2016) (0)
Efficient Detection and Classification of Epigenomic Changes Under Multiple Conditions (2019) (0)
Assessing Similarity to Existing Drugs to Decide Whether to Continue Drug Development (2012) (0)
A Powerful Global Test Statistic for Functional Statistical Inference (2019) (0)
Bayesian Model Selection (2016) (0)
A Power Prior Approach for Leveraging External Longitudinal and Competing Risks Survival Data Within the Joint Modeling Framework (2021) (0)
Corrigendum to: Heritability of regional brain volumes in large-scale neuroimaging and genetic studies. (2021) (0)
Hard Thresholded Regression Via Linear Programming (2014) (0)
Bayesian network meta‐regression hierarchical models using heavy‐tailed multivariate random effects with covariate‐dependent variances (2021) (0)
Improved detection of epigenomic marks with mixed‐effects hidden Markov models (2019) (0)
Review of the book Monte Carlo Methods in Bayesian Computation (2001) (0)
metapack: An R Package for Bayesian Meta-Analysis and Network Meta-Analysis with a Unified Formula Interface (2022) (0)
Bayesian multiregional clinical trials using model averaging. (2021) (0)
Bayesian design of clinical trials using joint models for recurrent and terminating events. (2022) (0)
Deeply-Learned Generalized Linear Models with Missing Data (2022) (0)
Bayesian Multivariate Probability of Success Using Historical Data with Strict Control of Family-wise Error Rate. (2020) (0)
Group Sequential Designs for Survival Data (2016) (0)
Estimation with clustered censored survival data with missing covariates in the marginal Cox model (2007) (0)
Estimating Treatment Effects for Recurrent Events in the Presence of Rescue Medications: An Application to the Immune Thrombocytopenia Study (2016) (0)
Synthesizing studies for comparing different treatment sequences in clinical trials (2022) (0)
Bayesian multivariate probability of success using historical data with type I error rate control. (2021) (0)
Estimating Cell Type Composition using Isoform Expression One Gene at a Time. (2021) (0)
Web-based Supplementary Materials for Variable Selection in the Cox Model with Covariates Missing at Random by Garcia, Ibrahim, and Zhu (2008) (0)
Optimal Priors for the Discounting Parameter of the Normalized Power Prior (2023) (0)
Epigrahmm – Epigenomic r-based analysis with hidden Markov models (2020) (0)
Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching (2013) (0)
Robustness of Proportional Hazards Regression (2016) (0)
STATISTICAL METHODS FOR MASS SPECTROMETRY PROTEOMICS EXPERIMENTS (2016) (0)
Supplementary Document of “ Perturbation and Scaled Cook ’ s Distances ” (2012) (0)
Unsupervised Imputation of Non-ignorably Missing Data Using Importance-Weighted Autoencoders (2021) (0)
Bayesian Approaches for Comparing Nonnested Models (2000) (0)
The Practice of Bayesian Analysis. S. French and J. Q. Smith (eds), Wiley, New York, 1997. No. of pages: ix+284. Price: £29.99. ISBN 0‐340‐66240‐9 (1999) (0)
Design and Monitoring of Randomized Clinical Trials (2001) (0)
Identifiability of PBPK models with applications to dimethylarsinic acid exposure (2015) (0)
Bayesian design of multi-regional clinical trials with time-to-event endpoints. (2023) (0)
Discussion of “Quantifying and using expert opinion for variable-selection problems in regression”☆ (1996) (0)
Rejoinder: Bayesian local influence for survival models (2011) (0)
Abstract P5-12-06: Comprehensive assessment of the effect of genetic polymorphisms in drug metabolizing enzymes and transporters on tamoxifen activation to endoxifen (2016) (0)
Bayesian flexible hierarchical skew heavy-tailed multivariate meta regression models for individual patient data with applications. (2020) (0)
Book Reviews (2012) (0)
Bayesian Meta-Experimental Design for Evaluating Cardiovascular Risk (2014) (0)
A Bayesian approach to study design and analysis with type I error rate control for response variables of mixed types. (2023) (0)
A hierarchical prior for generalized linear models based on predictions for the mean response. (2021) (0)
Estimating Treatment Effects for Recurrent Events in the Presence of Rescue Medications: An Application to the Immune Thrombocytopenia Study (2018) (0)
Rejoinder (2007) (0)
Bayesian Sensitivity Analysis of a Nonlinear Dynamic Factor Analysis Model with Nonparametric Prior and Possible Nonignorable Missingness (2017) (0)
Patterns of cell cycle checkpoint deregulation associated with intrinsic molecular subtypes of human breast cancer cells (2017) (0)
DREAM Community. Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial (2016) (0)
Bayesian generalized linear low rank regression models for the detection of vaccine-adverse event associations. (2023) (0)
Inferring latent heterogeneity using many feature variables supervised by survival outcome (2021) (0)
Comment (2007) (0)
Partial Least Squares for Functional Joint Models (2019) (0)
LEAP: The latent exchangeability prior for borrowing information from historical data (2023) (0)
Basic Monte Carlo Methods for Estimating Posterior Quantities (2000) (0)
Quantifying the average of the time-varying hazard ratio via a class of transformations (2014) (0)
Book Reviews (2000) (0)
Defective cell cycle checkpoint response to DNA double strand breaks is associated with altered patterns of gene expression (2006) (0)
, 5-Fluorouracil Dosing for Personalized Colorectal Cancer Therapy A Community-Based Multicenter Trial of Pharmacokinetically Guided (2014) (0)
New C‐indices for assessing importance of longitudinal biomarkers in fitting competing risks survival data in the presence of partially masked causes (2023) (0)
Bayesian Design of Clinical Trials Using Joint Cure Rate Models for Longitudinal and Time-to-Event Data (2022) (0)

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