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Transformation Models for Survival Data Analysis and Applications
Transformation Models for Survival Data Analysis and Applications
Nonparametric Change Point Detection Methods for Profile Variability
Nonparametric Change Point Detection Methods for Profile Variability
Statistical Methods for Meta-Analyses with Different Types of Outcome Measures
Statistical Methods for Meta-Analyses with Different Types of Outcome Measures
Small Area Estimation with Random Effects Selection
Small Area Estimation with Random Effects Selection
Scalable and Structured High Dimensional Covariance Matrix Estimation
Scalable and Structured High Dimensional Covariance Matrix Estimation
Class of Semiparametric Volatility Models with Applications to Financial Time Series
Class of Semiparametric Volatility Models with Applications to Financial Time Series
Flexible Mediation Analysis for Complex Data
Flexible Mediation Analysis for Complex Data
Interrelating of Longitudinal Processes
Interrelating of Longitudinal Processes
Nonparametric and Semiparametric Nonlinear Profile Monitoring with Multiple Predictors
Nonparametric and Semiparametric Nonlinear Profile Monitoring with Multiple Predictors
Limit Theorems for Object Data with Applications to 2D and 3D Image Data Analysis
Limit Theorems for Object Data with Applications to 2D and 3D Image Data Analysis
Nonparametric Estimation of Three Dimensional Projective Shapes with Applications in Medical Imaging and in Pattern          Recognition
Nonparametric Estimation of Three Dimensional Projective Shapes with Applications in Medical Imaging and in Pattern Recognition
Probabilistic and Graphical Analysis of Evidence in O.J. Simpson's Murder Case Using Bayesian Networks
Probabilistic and Graphical Analysis of Evidence in O.J. Simpson's Murder Case Using Bayesian Networks
Meta Analysis and Meta Regression of a Measure of Discrimination Used in Prognostic Modeling
Meta Analysis and Meta Regression of a Measure of Discrimination Used in Prognostic Modeling
Sparse Generalized PCA and Dependency Learning for Large-Scale Applications Beyond Gaussianity
Sparse Generalized PCA and Dependency Learning for Large-Scale Applications Beyond Gaussianity
Age Effects in the Extinction of Planktonic Foraminifera
Age Effects in the Extinction of Planktonic Foraminifera
Multivariate Binary Longitudinal Data Analysis
Multivariate Binary Longitudinal Data Analysis
Variable Selection of Correlated Predictors in Logistic Regression
Variable Selection of Correlated Predictors in Logistic Regression
Nonparametric Nonstationary Density Estimation Including Upper Control Limit Methods for Detecting Change Points
Nonparametric Nonstationary Density Estimation Including Upper Control Limit Methods for Detecting Change Points
Nonparametric Estimation of Three Dimensional Projective Shapes with Applications in Medical Imaging and in Pattern          Recognition
Nonparametric Estimation of Three Dimensional Projective Shapes with Applications in Medical Imaging and in Pattern Recognition
Failure Time Regression Models for Thinned Point Processes
Failure Time Regression Models for Thinned Point Processes
Constrained Bayesian Inference for Density Estimation and Informative Bayesian Models
Constrained Bayesian Inference for Density Estimation and Informative Bayesian Models
Bayesian Modeling and Variable Selection for Complex Data
Bayesian Modeling and Variable Selection for Complex Data
Examining the Relationship of Dietary Component Intakes to Each Other and to Mortality
Examining the Relationship of Dietary Component Intakes to Each Other and to Mortality
Goodness-of-Tests for Logistic Regression
Goodness-of-Tests for Logistic Regression
Research Synthesis Methods and Their Application to Evidence-Based Medicine
Research Synthesis Methods and Their Application to Evidence-Based Medicine
Theories on Group Variable Selection in Multivariate Regression Models
Theories on Group Variable Selection in Multivariate Regression Models
Using Subject Level Covariate Information in Bayesian Mixture Models for Basket Trials
Using Subject Level Covariate Information in Bayesian Mixture Models for Basket Trials
Ensemble Approach to Predicting Health Outcomes
Ensemble Approach to Predicting Health Outcomes
Examining Multiple Methods for Nonparametric Multivariate Profile Monitoring
Examining Multiple Methods for Nonparametric Multivariate Profile Monitoring
Envelope Methods for Missing Responses in Multivariate Linear Models
Envelope Methods for Missing Responses in Multivariate Linear Models
Statistical Methods for Big Data and Their Applications in Biomedical Research
Statistical Methods for Big Data and Their Applications in Biomedical Research
Frequentist Performance of Some Bayesian Confidence Intervals for the Survival Function
Frequentist Performance of Some Bayesian Confidence Intervals for the Survival Function
Examination of the Concept of Frailty in the Elderly
Examination of the Concept of Frailty in the Elderly
Table of the Transient World
Table of the Transient World
Computationally Efficient Bayesian Sequential Monitoring for Functional Profiles and          Density Estimation
Computationally Efficient Bayesian Sequential Monitoring for Functional Profiles and Density Estimation
Risk of Lipids on Coronary Heart Disease
Risk of Lipids on Coronary Heart Disease
Time Scales in Epidemiological Analysis
Time Scales in Epidemiological Analysis
Relationship of Diabetes to Coronary Heart Disease Mortality
Relationship of Diabetes to Coronary Heart Disease Mortality
Methods of Block Thresholding Across Multiple Resolution Levels in Adaptive Wavelet Estimation
Methods of Block Thresholding Across Multiple Resolution Levels in Adaptive Wavelet Estimation
Building a Model Performance Measure for Examining Clinical Relevance Using Net Benefit Curves
Building a Model Performance Measure for Examining Clinical Relevance Using Net Benefit Curves
Spatial Statistics and Its Applications in Biostatistics and Environmental Statistics
Spatial Statistics and Its Applications in Biostatistics and Environmental Statistics
High Dimensional Classification for Skew-Normal Data
High Dimensional Classification for Skew-Normal Data
Functional Regression Models for Multi-Site Imaging Data Integration
Functional Regression Models for Multi-Site Imaging Data Integration
Mediation Analysis in Neuroimaging and Geospatial Studies
Mediation Analysis in Neuroimaging and Geospatial Studies
Stick-Breaking Bart Models for Ordinal Regression and Conditional Density Estimation
Stick-Breaking Bart Models for Ordinal Regression and Conditional Density Estimation