Lurdes Inoue | Academic Influence

Lurdes Inoue's AcademicInfluence.com Rankings

Lurdes Inoue

Mathematics

#8185

World Rank

#11117

Historical Rank

Statistics

#1170

World Rank

#1275

Historical Rank

mathematics Degrees

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Mathematics

Lurdes Inoue's Degrees

PhD Statistics University of São Paulo
Masters Statistics University of São Paulo
Bachelors Mathematics University of São Paulo

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Why Is Lurdes Inoue Influential?

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According to Wikipedia, Lurdes Yoshiko Tani Inoue is a Brazilian-born statistician of Japanese descent, who specializes in Bayesian inference. She works as a professor of biostatistics in the University of Washington School of Public Health.

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Lurdes Inoue'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

Role of detection method in predicting breast cancer survival: analysis of randomized screening trials. (2005) (253)
Decision Theory: Principles and Approaches (2009) (239)
Seamlessly Expanding a Randomized Phase II Trial to Phase III (2002) (131)
Modeling the impact of treatment and screening on U.S. breast cancer mortality: a Bayesian approach. (2006) (106)
Survival Benefit of the Primary Prevention Implantable Cardioverter-Defibrillator Among Older Patients: Does Age Matter? An Analysis of Pooled Data From 5 Clinical Trials (2015) (90)
Implantable cardioverter-defibrillators for primary prevention of sudden cardiac death in CKD: a meta-analysis of patient-level data from 3 randomized trials. (2014) (88)
Outcomes of implantable cardioverter-defibrillator use in patients with comorbidities: results from a combined analysis of 4 randomized clinical trials. (2014) (77)
Bayesian Hierarchical Curve Registration (2008) (75)
Primary Prevention Implantable Cardioverter Defibrillators in Patients With Nonischemic Cardiomyopathy: A Meta-analysis (2017) (74)
What If I Don't Treat My PSA-Detected Prostate Cancer? Answers from Three Natural History Models (2011) (57)
Is prostate-specific antigen velocity useful in early detection of prostate cancer? A critical appraisal of the evidence. (2007) (55)
Relationship Between Bayesian and Frequentist Sample Size Determination (2005) (54)
Calibrating disease progression models using population data: a critical precursor to policy development in cancer control. (2010) (53)
Continuous Bayesian adaptive randomization based on event times with covariates (2006) (50)
Individualized estimates of overdiagnosis in screen-detected prostate cancer. (2014) (43)
A joint model for multistate disease processes and random informative observation times, with applications to electronic medical records data (2015) (42)
Modeling grade progression in an active surveillance study (2014) (42)
Combining longitudinal studies of PSA. (2004) (39)
Modeling Nonhomogeneous Markov Processes via Time Transformation (2008) (38)
Cluster-based network model for time-course gene expression data. (2007) (37)
Comparative Analysis of Biopsy Upgrading in Four Prostate Cancer Active Surveillance Cohorts (2018) (34)
New York Heart Association class and the survival benefit from primary prevention implantable cardioverter defibrillators: A pooled analysis of 4 randomized controlled trials (2017) (30)
Adaptive Decision Making in a Lymphocyte Infusion Trial (2002) (30)
Implantable cardioverter‐defibrillators in heart failure patients with reduced ejection fraction and diabetes (2018) (22)
Modeling Disease Progression With Longitudinal Markers (2008) (22)
Estimation of Breast Cancer Overdiagnosis in a U.S. Breast Screening Cohort (2022) (22)
Predicting appropriate shocks in patients with heart failure: Patient level meta‐analysis from SCD‐HeFT and MADIT II (2016) (20)
Joint Modeling of Self-Rated Health and Changes in Physical Functioning (2009) (19)
Differential Expression and Network Inferences through Functional Data Modeling (2009) (17)
Survival benefit of primary prevention implantable cardioverter-defibrillator therapy after myocardial infarction: does time to implant matter? A meta-analysis using patient-level data from 4 clinical trials. (2013) (16)
Changes in Utility as Information (2010) (15)
Designing Follow-Up Times (2002) (10)
A Bayesian Model for Detecting Acute Change in Nonlinear Profiles (2001) (8)
Future research prioritization in cardiac resynchronization therapy. (2020) (8)
Use of Bayesian Techniques in Randomized Clinical Trials: A CMS Case Study (2009) (7)
Do patients with a left ventricular ejection fraction between 30% and 35% benefit from a primary prevention implantable cardioverter defibrillator? (2014) (6)
Using semi‐Markov processes to study timeliness and tests used in the diagnostic evaluation of suspected breast cancer (2016) (6)
Application of appropriate use criteria for stress myocardial perfusion imaging at two academic medical centers: Compliance and association with image findings (2012) (5)
Celebrating 70: An Interview with Don Berry (2012) (5)
SURVIVAL BENEFIT OF THE PRIMARY PREVENTION IMPLANTABLE CARDIOVERTER-DEFIBRILLATOR AMONG OLDER PATIENTS: DOES AGE MATTER? A PATIENT-LEVEL META-ANALYSIS OF 5 CLINICAL TRIALS (2014) (4)
Deriving benefit of early detection from biomarker-based prognostic models. (2013) (4)
Bayesian Hierarchical Self – Modeling Warping Regression (2007) (1)
Recalibration Methods for Improved Clinical Utility of Risk Scores (2021) (1)
Using indirect comparisons to compare interventions within a Cochrane review: a tool for comparative effectiveness research. (2014) (1)
Factors and outcomes associated with improved left ventricular systolic function in patients with cardiomyopathy (2020) (1)
Wiley Series in Probability and Statistics (2009) (1)
When to implant an ICD following a myocardial infarction? (2013) (0)
Networks Discovery through Timing Maps (2007) (0)
A Value-of-Information Framework for Personalizing the Timing of Surveillance Testing (2021) (0)
Multi-state Models for Natural History of Disease (2013) (0)
Utility in Action (2010) (0)
INFLUENCE OF CHRONIC KIDNEY DISEASE ON THE EFFICACY OF PRIMARY PREVENTION IMPLANTABLE CARDIOVERTER DEFIBRILLATORS: A META-ANALYSIS OF THREE RANDOMIZED TRIALS (2013) (0)
Abstract GS4-06: Estimation of breast cancer overdiagnosis in a US breast screening cohort (2022) (0)
University of Pennsylvania 7th annual conference on statistical issues in clinical trials: Current issues regarding the use of biomarkers and surrogate endpoints in clinical trials (afternoon panel discussion session) (2015) (0)
BENEFIT OF CARDIAC RESYNCHRONIZATION THERAPY AMONG OLDER PATIENTS: A PATIENT-LEVEL META-ANALYSIS (2023) (0)
Stochastic Optimization via Forward Slice (2015) (0)
Introduction, Tutorial, and Overview of Project (2009) (0)
Ramsey and Savage (2010) (0)
Modeling disease progression on active surveillance using a Bayesian joint longitudinal competing risks survival model (2018) (0)
Comments on 'Continuous Bayesian adaptive randomization based on event times with covariates' [4] (2007) (0)
Abstract 12202: New York Heart Association Class and the Mortality Benefit From Primary Prevention Implantable Cardioverter Defibrillator Use: A Pooled Analysis of 4 Randomized Control Trials (2016) (0)
Seamlessly Expanding a Randomized Phase I 1 Trial to Phase I 11 (1999) (0)
Cardiac Resynchronization Therapy Improves Outcomes in Patients With Intraventricular Conduction Delay But Not Right Bundle Branch Block: A Patient-Level Meta-Analysis of Randomized Controlled Trials (2023) (0)
Multi-State Models for Disease Natural History (2015) (0)

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What Schools Are Affiliated With Lurdes Inoue?

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