This new edition of the book will be produced in two versions. The textbook will include a CD-Rom with two videotaped lectures by the authors. This book translates biostatistics in the health sciences literature with clarity and irreverence. Students and practitioners alike, applaud Biostatistics as the practical guide that exposes them to every statistical test they may encounter, with careful conceptual explanations and a minimum of algebra. What's New? The new Bare Essentials reflects recent advances in statistics, as well as time-honored methods. For example, "hierarchical linear modeling" which first appeared in psychology journals and only now is described in medical literature. Also new, is a chapter on testing for equivalence and non-inferiority. As well as a chapter with information to get started with the computer statistics program, SPSS. Free of calculations and jargon, Bare Essentials speaks so plainly that you won't need a technical dictionary. No math, all concepts. The objective is to enable you to determine if the research results are applicable to your own patients. Throughout the guide, you'll find highlights of areas in which researchers misuse or misinterpret statistical tests. We have labeled these "C.R.A.P. Detectors" (Convoluted Reasoning and Anti-intellectual Pomposity), which help you to identify faulty methodology and misuse of statistics.
Back to the basics — get up to speed on math and statistics concepts, find advice on selecting statistical software, and get an overview of clinical research The deal with data — find out how to collect data properly, summarize it ...
This extensive update of Introductory Biostatistics, Second Edition includes: • A new chapter on the use of higher order Analysis of Variance (ANOVA) in factorial and block designs • A new chapter on testing and inference methods for ...
The gold standard of clinical research is the randomized, double-blind study. In rare cases when there are extremely ... ˆ Unbiased Estimator: An estimator ˆ of the θ estimator is 148 Biostatistics for clinical and public health research.
Features: Illustrative, relevant examples and exercises incorporated throughout the book. Answers to odd-numbered exercises provided in the back of the book. (Instructors may requests answers to even-numbered exercises from the publisher.
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language.
A straightforward introduction to a wide range of statistical methods for field biologists, using thoroughly explained R code.
In the mid-1800s, an anesthesiologist named Dr. John Snow conducted a series of studies in London that led to him being called the “father of field epidemiology.” Dr. Snow investigated cholera outbreaks, both to discover the cause of ...
Biostatistics for Oncologists is the first practical guide providing the essential biostatistical concepts, oncology-specific examples, and applicable problem sets for medical oncologists, radiation oncologists, and surgical oncologists.
A concise, engagingly written introduction to understanding statistics as they apply to medicine and the life sciences A Doody's Core Title for 2017!
The majority of the text addresses methods for statistical inference, including one- and two- sample tests for mean and proportion, analysis of variance techniques, correlation and regression analysis.