Statistics for Biology and Health – serie

Clinical Prediction Models

A Practical Approach to Development, Validation, and Updating

Likelihood and Bayesian Inference

With Applications in Biology and Medicine

Applied Multivariate Statistics with R

Applied Multivariate Statistics with R

Design and Analysis of DNA Microarray Investigations

Multiple Analyses in Clinical Trials

Fundamentals for Investigators

Dynamic Regression Models for Survival Data

Evaluation of Surrogate Endpoints

Survival and Event History Analysis

A Process Point of View

Statistical Genetics of Quantitative Traits

Linkage, Maps and QTL

Statistical Methods in Molecular Evolution

Applied Mathematical Demography

Bioinformatics and Computational Biology Solutions Using R and Bioconductor

Proportional Hazards Regression

Dose Finding in Drug Development

Statistical Monitoring of Clinical Trials

A Unified Approach

Statistical Analysis of Interval-censored Failure Time Data

Statistical Methods in Bioinformatics

An Introduction

Design and Analysis of Vaccine Studies

Analyzing Ecological Data

Statistics of Gene Mapping

Statistical Analysis of Recurrent Events

Frailty Model

Statistical Analysis of Functional MRI Data

Cancer Mortality and Morbidity Patterns in the U.S. Population

An Interdisciplinary Approach

Mixed Effects Models and Extensions in Ecology with R

Guide to QTL Mapping with R/qtl

Modern Infectious Disease Epidemiology

Concepts, Methods, Mathematical Models, and Public Health

Forecasting Product Liability Claims

Epidemiology and Modeling in the Manville Asbestos Case