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Properties and Implementation of Jeffreys's Prior in Binomial Regression Models

Journal of the American Statistical Association, 2008-12, Vol.103 (484), p.1659-1664

2008

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LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures

Journal of the American Statistical Association, 2023, Vol.118 (541), p.3-17

2023

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Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures

Journal of the American Statistical Association, 2023-01, Vol.118 (541), p.25-28

2023

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Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers

Journal of the American Statistical Association, 2014-09, Vol.109 (507), p.977-990

2014

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Modeling Between-Study Heterogeneity for Improved Replicability in Gene Signature Selection and Clinical Prediction

Journal of the American Statistical Association, 2020-07, Vol.115 (531), p.1125-1138

2020

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Statistical design of noninferiority multiple region clinical trials to assess global and consistent treatment effects

Journal of biopharmaceutical statistics, 2017-01, Vol.27 (6), p.933-944

2017

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Model Selection Criteria for Missing-Data Problems Using the EM Algorithm

Journal of the American Statistical Association, 2008-12, Vol.103 (484), p.1648-1658

2008

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Timeless functions independently of the Tim-Tipin complex to promote sister chromatid cohesion in normal human fibroblasts

Cell cycle (Georgetown, Tex.), 2011-05, Vol.10 (10), p.1618-1624

2011

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On Optimality Properties of the Power Prior

Journal of the American Statistical Association, 2003-03, Vol.98 (461), p.204-213

2003

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Deeply Learned Generalized Linear Models with Missing Data

Journal of computational and graphical statistics, 2024-04, Vol.33 (2), p.638-650

2024

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Mapping Tumor-Specific Expression QTLs in Impure Tumor Samples

Journal of the American Statistical Association, 2020-01, Vol.115 (529), p.79-89

2020

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Bayesian design of clinical trials using the scale transformed power prior

Journal of biopharmaceutical statistics, 2024-04, p.1-20

2024

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Semiparametric Transformation Models for Survival Data With a Cure Fraction

Journal of the American Statistical Association, 2006-06, Vol.101 (474), p.670-684

2006

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Missing-Data Methods for Generalized Linear Models: A Comparative Review

Journal of the American Statistical Association, 2005-03, Vol.100 (469), p.332-346

2005

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SPReM: Sparse Projection Regression Model For High-Dimensional Linear Regression

Journal of the American Statistical Association, 2015-03, Vol.110 (509), p.289-302

2015

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Biomarker threshold adaptive designs for survival endpoints

Journal of biopharmaceutical statistics, 2018-11, Vol.28 (6), p.1038-1054

2018

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Intrinsic Regression Models for Positive-Definite Matrices With Applications to Diffusion Tensor Imaging

Journal of the American Statistical Association, 2009-09, Vol.104 (487), p.1203-1212

2009

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Bayesian Model Assessment in Joint Modeling of Longitudinal and Survival Data With Applications to Cancer Clinical Trials

Journal of computational and graphical statistics, 2017-01, Vol.26 (1), p.121-133

2017

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Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model

Journal of the American Statistical Association, 2001-03, Vol.96 (453), p.292-302

2001

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Intrinsic Regression Models for Manifold-Valued Data

Journal of the American Statistical Association, 2009-01, Vol.5762, p.192-199

2009

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Efficient Multiple Imputation for Sensitivity Analysis of Recurrent Events Data with Informative Censoring

Statistics in biopharmaceutical research, 2022-04, Vol.14 (2), p.153-161

2022

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Some Statistical Strategies for DAE-seq Data Analysis: Variable Selection and Modeling Dependencies Among Observations

Journal of the American Statistical Association, 2014, Vol.109 (505), p.78-94

2014

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On inference of control-based imputation for analysis of repeated binary outcomes with missing data

Journal of biopharmaceutical statistics, 2017-05, Vol.27 (3), p.358-372

2017

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Variable Selection in Regression Mixture Modeling for the Discovery of Gene Regulatory Networks

Journal of the American Statistical Association, 2007-09, Vol.102 (479), p.867-880

2007

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A New Bayesian Model for Survival Data with a Surviving Fraction

Journal of the American Statistical Association, 1999-09, Vol.94 (447), p.909-919

1999

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Properties and Implementation of Jeffreys's Prior in Binomial Regression Models

LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures

Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures

Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers

Modeling Between-Study Heterogeneity for Improved Replicability in Gene Signature Selection and Clinical Prediction

Statistical design of noninferiority multiple region clinical trials to assess global and consistent treatment effects

Model Selection Criteria for Missing-Data Problems Using the EM Algorithm

Timeless functions independently of the Tim-Tipin complex to promote sister chromatid cohesion in normal human fibroblasts

On Optimality Properties of the Power Prior

Deeply Learned Generalized Linear Models with Missing Data

Mapping Tumor-Specific Expression QTLs in Impure Tumor Samples

Bayesian design of clinical trials using the scale transformed power prior

Semiparametric Transformation Models for Survival Data With a Cure Fraction

Missing-Data Methods for Generalized Linear Models: A Comparative Review

SPReM: Sparse Projection Regression Model For High-Dimensional Linear Regression

Biomarker threshold adaptive designs for survival endpoints

Intrinsic Regression Models for Positive-Definite Matrices With Applications to Diffusion Tensor Imaging

Bayesian Model Assessment in Joint Modeling of Longitudinal and Survival Data With Applications to Cancer Clinical Trials

Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model

Intrinsic Regression Models for Manifold-Valued Data

Efficient Multiple Imputation for Sensitivity Analysis of Recurrent Events Data with Informative Censoring

Some Statistical Strategies for DAE-seq Data Analysis: Variable Selection and Modeling Dependencies Among Observations

On inference of control-based imputation for analysis of repeated binary outcomes with missing data

Variable Selection in Regression Mixture Modeling for the Discovery of Gene Regulatory Networks

A New Bayesian Model for Survival Data with a Surviving Fraction

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