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Mixed effects models and extensions in ecology with R

Clinical Prediction Models : A Practical Approach to Development, Validation, and Updating

Analysing ecological data

Applying quantitative bias analysis to epidemiologic data

Regression methods in biostatistics : linear, logistic, survival, and repeated measures models

The Frailty Model

Survival and event history analysis : a process point of view

Meta-Analysis : Methods for Health and Experimental Studies

Applied Mathematical Demography

Statistical learning in genetics : an introduction using R

Clinical prediction models : a practical approach to development, validation, and updating

Bioinformatics and computational biology solutions using R and Bioconductor

Survival analysis : a self-learning text

Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics

Analysis of Multivariate Survival Data

Dynamic regression models for survival data

The statistical analysis of recurrent events

Logistic Regression : A Self-Learning Text

Likelihood and Bayesian inference : with applications in biology and medicine

Analysis of genetic association studies

Heterogeneity in Statistical Genetics : How to Assess, Address, and Account for Mixtures in Association Studies

Epidemiology : Key to Public Health

Medical applications of finite mixture models

Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry

Adaptive regression for modeling nonlinear relationships

Estimating presence and abundance of closed populations

Statistical Design and Analysis of Biological Experiments

Statistical Modelling of Survival Data with Random Effects : H-Likelihood Approach

Statistical Inference on Residual Life

Applied multivariate statistics with R

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