Background Benchmarking has been recognised as a valuable method to help identify
strengths and weaknesses at all levels of the healthcare system. Despite a growing interest …

▪ Abstract Over the past few years there has been growing interest in considering factors
defined at multiple levels in public health research. Multilevel analysis has emerged as one …

A valuable overview of the most important ideas and results in statistical modeling Written by
a highly-experienced author, Foundations of Linear and Generalized Linear Models is a …

Whenever possible, the recommendations listed in this document are evidence based.
Articles reviewed in this guideline revision covered evidence from the past 10 years through …

Background Assessing the mortality impact of the 2009 influenza A H1N1 virus
(H1N1pdm09) is essential for optimizing public health responses to future pandemics. The …

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We wish to answer this question: If you observe a 'significant'p-value after doing a single
unbiased experiment, what is the probability that your result is a false positive? The weak …

Structured additive regression models are perhaps the most commonly used class of models
in statistical applications. It includes, among others,(generalized) linear …

Applauded for its clarity, this accessible introduction helps readers apply multilevel
techniques to their research. The book also includes advanced extensions, making it useful …

Modelling Survival Data in Medical Research, Fourth Edition, describes the analysis of
survival data, illustrated using a wide range of examples from biomedical research. Written …