Damla Şentürk
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Turkish-American biostatistician
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Mathematics
Why Is Damla Şentürk Influential?
(Suggest an Edit or Addition)According to Wikipedia, Damla Şentürk is a Turkish-American biostatistician and professor of biostatistics in the University of California, Los Angeles Fielding School of Public Health whose interests include longitudinal studies, functional data analysis, and applications of biostatistics in the study of autism and of dialysis outcomes.
Damla Şentürk's Published Works
Published Works
- Functional Varying Coefficient Models for Longitudinal Data (2010) (78)
- Covariate Adjusted Correlation Analysis via Varying Coefficient Models (2005) (76)
- Covariate-adjusted regression (2005) (64)
- Inference for covariate adjusted regression via varying coefficient models (2006) (53)
- Generalized varying coefficient models for longitudinal data (2008) (45)
- Covariate-adjusted linear mixed effects model with an application to longitudinal data (2008) (40)
- Covariate-adjusted generalized linear models (2009) (38)
- Multicovariate-adjusted regression models (2008) (38)
- Varying Coefficient Models for Sparse Noise-contaminated Longitudinal Data. (2011) (36)
- Virgin females compete for mates in the male lekking species Ceratitis capitata (2009) (34)
- A multi‐dimensional functional principal components analysis of EEG data (2017) (31)
- Hybrid principal components analysis for region-referenced longitudinal functional EEG data. (2018) (27)
- Estimation in covariate-adjusted regression (2006) (27)
- Recent History Functional Linear Models for Sparse Longitudinal Data. (2011) (26)
- Modeling time‐varying effects with generalized and unsynchronized longitudinal data (2013) (26)
- Time‐dynamic profiling with application to hospital readmission among patients on dialysis (2018) (20)
- Day-to-Day Test-Retest Reliability of EEG Profiles in Children With Autism Spectrum Disorder and Typical Development (2020) (19)
- Partial covariate adjusted regression. (2009) (18)
- Identifying longitudinal trends within EEG experiments (2015) (16)
- Covariate‐adjusted region‐referenced generalized functional linear model for EEG data (2019) (11)
- Robust functional clustering of ERP data with application to a study of implicit learning in autism. (2016) (11)
- Asymptotic properties of covariate-adjusted regression with correlated errors (2009) (10)
- Time‐varying effect modeling with longitudinal data truncated by death: conditional models, interpretations, and inference (2016) (10)
- Covariate-adjusted varying coefficient models. (2006) (10)
- Cardiovascular event risk dynamics over time in older patients on dialysis: A generalized multiple‐index varying coefficient model approach (2014) (9)
- Bayesian analysis of longitudinal and multidimensional functional data. (2020) (9)
- Covariate Adjusted Correlation Analysis with Application to FMR1 Premutation Female Carrier Data (2009) (9)
- Measurement Error Case Series Models With Application to Infection-Cardiovascular Risk in Older Patients on Dialysis (2012) (8)
- Profiling dialysis facilities for adverse recurrent events (2020) (7)
- Performance characteristics of profiling methods and the impact of inadequate case-mix adjustment (2019) (7)
- Modeling time‐varying effects of multilevel risk factors of hospitalizations in patients on dialysis (2018) (6)
- Principle ERP reduction and analysis: Estimating and using principle ERP waveforms underlying ERPs across tasks, subjects and electrodes (2020) (6)
- Multilevel modeling of spatially nested functional data: Spatiotemporal patterns of hospitalization rates in the US dialysis population (2021) (5)
- Inferring Brain Signals Synchronicity From a Sample of EEG Readings (2016) (5)
- Functional Varying Coefficient Models (2011) (5)
- Impact of case-mix measurement error on estimation and inference in profiling of health care providers (2018) (4)
- Bias and estimation under misspecification of the risk period in self‐controlled case series studies (2017) (3)
- Rejoinder: Time‐dynamic profiling with application to hospital readmission among patients on dialysis (2018) (2)
- Naive Hypothesis Testing for Case Series Analysis with Time‐Varying Exposure Onset Measurement Error: Inference for Infection‐Cardiovascular Risk in Patients on Dialysis (2013) (2)
- Nonlinear Varying-Coefficient Models with Applications to a Photosynthesis Study (2014) (2)
- Functional linear models for zero‐inflated count data with application to modeling hospitalizations in patients on dialysis (2014) (2)
- A Two-step Estimation Approach for Logistic Varying Coefficient Modeling of Longitudinal Data. (2016) (2)
- Covariate-adjusted hybrid principal components analysis for region-referenced functional EEG data. (2022) (2)
- COVARIATE‐ADJUSTED REGRESSION FOR LONGITUDINAL DATA INCORPORATING CORRELATION BETWEEN REPEATED MEASUREMENTS (2009) (2)
- A multilevel mixed effects varying coefficient model with multilevel predictors and random effects for modeling hospitalization risk in patients on dialysis (2019) (2)
- Weighted hurdle regression method for joint modeling of cardiovascular events likelihood and rate in the US dialysis population (2014) (2)
- Multilevel hybrid principal components analysis for region‐referenced functional electroencephalography data (2022) (1)
- A study of longitudinal trends in time-frequency transformations of EEG data during a learning experiment (2021) (1)
- Design considerations for case series models with exposure onset measurement error (2013) (1)
- Covariate-Adjusted Hybrid Principal Components Analysis (2020) (1)
- Within Visit Test-Retest Reliability of EEG Profiles in Children with Autism Spectrum Disorder and Typical Development (2019) (1)
- Multilevel joint modeling of hospitalization and survival in patients on dialysis (2021) (1)
- REGION-REFERENCED SPECTRAL POWER DYNAMICS OF EEG SIGNALS: A HIERARCHICAL MODELING APPROACH. (2018) (1)
- Fixed Effects High-Dimensional Profiling Models in Low Information Context (2021) (0)
- Exploratory time varying lagged regression: Modeling association of cognitive and functional trajectories with expected clinic visits in older adults (2014) (0)
- Title A Two-step Estimation Approach for Logistic Varying Coefficient Modeling of Longitudinal Data Permalink (2014) (0)
- Central Posterior Envelopes for Bayesian Functional Principal Component Analysis (2023) (0)
- A consistent local linear estimator of the covariate adjusted correlation coefficient. (2009) (0)
- Comments on: Dynamic relations for sparsely sampled Gaussian processes (2010) (0)
- A Functional Model for Studying Common Trends Across Trial Time in Eye Tracking Experiments (2022) (0)
- Nonlinear Varying Coefficient Models with Applications to Studying Photosynthesis. (2014) (0)
- Nonlinear Varying-Coefficient Models with Applications to a Photosynthesis Study (2013) (0)
- Multilevel varying coefficient spatiotemporal model (2021) (0)
- A Bayesian multilevel time‐varying framework for joint modeling of hospitalization and survival in patients on dialysis (2022) (0)
- Detecting Genetic Disposition of Ethnicity to Autoimmune Diseases via Clustering (2021) (0)
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