CD-ROM includes datasets in the multiple formats and The Framington Heart Study document.
For students learning to apply and interpret statistical applications in the medical and public health fields. The majority of the text addresses methods for statistical inference, including one- and two- sample tests for mean and proportion, analysis of variance techniques, cor…
The major objective of this book is to provide the best possible introduction to statistics for students and professors in the biological, life, and health sciences. This goal is realized through a friendly writing style, content that reflects the important features of a modern …
Real-world applications connect statistical concepts to everyday life. Biostatistics for the Biological and Health Sciences uses a variety of real-world applications to bring statistical theories and methods to life. Through these examples and a friendly writing style, the 2nd E…
The starting point of the text is a basic understanding of survival analysis and how it is done in Stata. For instance, a reader is assumed to know how to plot a Kaplan-Meier curve and fit a Cox model. The aim of the text is for researchers to build on the illustrations and exam…
Biostatistics is exclusively designed for the undergraduate students of Botany, Biotechnology and Zoology for gaining fundamental knowledge on biostatistics and its applications. Adequate coverage has been provided to the concepts of biostatistics making this book useful in biol…
Molecular cloning and DNA-based analysis have become part of every molecular life science laboratory. The rapid adoption of DNA-based techniques has been facilitated by the introduction of the polymerase chain reaction (PCR), which has made cloning and characterization of DNA qu…
This is an accessible textbook that explains, discusses, and applies both the frequentist and Bayesian theoretical frameworks to fit the different types of statistical models that allow an analysis of the types of data most commonly gathered by life scientists.
This textbook offers a comprehensive analysis of medical decision-making under uncertainty by combining test information theory with expected utility theory. The authors show how the parameters of Bayes' theorem can be combined with a value function of health states in order to …
