Statistical Methods for Health Care Research
This text provides a thorough foundation for the statistics portion of nursing and all health care research courses.
Basic & Clinical Biostatistics (LANGE Basic Science)
A comprehensive user-friendly introduction to biostatistics and epidemiology applied to medicine, clinical practice, and research.
Principles of Biostatistics
Marcello Pagano and Kimberlee Gauvreau's PRINCIPLES OF BIOSTATISTICS, Second Edition is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research.
Biostatistical Analysis (4th Edition)
The latest edition of this best-selling biostatistics book is both comprehensive and easy to read.
Statistics for Epidemiology by N.P. Jewell
Statistics for Epidemiology fills a substantial niche by explaining the ideas behind the analysis of epidemiological data without requiring a high level of mathematics and without resorting a 'cookbook' format.
Fundamentals of Biostatistics by B. Rosner
Bernard Rosner's FUNDAMENTALS OF BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with human subjects.
Biostatistics: A Foundation for Analysis in the Health Sciences (Wiley Series in Probability and Statistics)
This classic text takes an applied and computer-oriented approach to its topical coverage.
Applied Spatial Statistics for Public Health Data
This is the first thorough overview to integrate spatial statistics with data management and the display capabilities of GIS
Intuitive Biostatistics by H. Motulsky
This text explains statistical principles in non-technical language and focuses on explaining the proper scientific interpretation of statistical tests rather than on the mathematical logic of the tests themselves.
Model Selection and Multi-Model Inference
The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set
Applied Survival Analysis: Regression Modeling of Time to Event Data by D.W. Hosmer Jr. & S. Lemeshow
A Practical, Up-To-Date Guide To Modern Methods In The Analysis Of Time To Event Data.
Fundamentals of Clinical Trials by L. Friedman et al.
This text is intended for the clinical researcher who is interested in designing a clinical trial and developing a protocol.
Biometry by R.R. Sokal & F.J. Rohlf
This book and BIOSTATISTICAL ANALYSIS by Jerrold Zar are my main "go to" books when I have questions about statistical methods, applications, or interpretation.
Analysis of Longitudinal Data by P. Diggle et al.
The new edition of this important text has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving and important area of biostatistics.
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory.