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Introductory Biostatistics
Maintaining the same accessible and hands-on presentation, Introductory Biostatistics, Second Edition continues to provide an organized introduction to basic statistical concepts commonly applied in research across the health sciences. With plenty of real-world examples, the new edition provides a practical, modern approach to the statistical topics found in the biomedical and public health fields.
Beginning with an overview of descriptive statistics in the health sciences, the book delivers topical coverage of probability models, parameter estimation, and hypothesis testing. Subsequently, the book focuses on more advanced topics with coverage of regression analysis, logistic regression, methods for count data, analysis of survival data, and designs for clinical trials. This extensive update of Introductory Biostatistics, Second Edition
� 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 repeatedly measured outcomes including continuous, binary, and count outcomes
� R incorporated throughout along with SAS®, allowing readers to replicate results from presented examples with either software
� Multiple additional exercises, with partial solutions available to aid comprehension of crucial concepts
� Notes on Computations sections to provide further guidance on the use of software
� A related website that hosts the large data sets presented throughout the book
Introductory Biostatistics, Second Edition is an excellent textbook for upper-undergraduate and graduate students in introductory biostatistics courses. The book is also an ideal reference for applied statisticians working in the fields of public health, nursing, dentistry, and medicine.
Beginning with an overview of descriptive statistics in the health sciences, the book delivers topical coverage of probability models, parameter estimation, and hypothesis testing. Subsequently, the book focuses on more advanced topics with coverage of regression analysis, logistic regression, methods for count data, analysis of survival data, and designs for clinical trials. This extensive update of Introductory Biostatistics, Second Edition
� 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 repeatedly measured outcomes including continuous, binary, and count outcomes
� R incorporated throughout along with SAS®, allowing readers to replicate results from presented examples with either software
� Multiple additional exercises, with partial solutions available to aid comprehension of crucial concepts
� Notes on Computations sections to provide further guidance on the use of software
� A related website that hosts the large data sets presented throughout the book
Introductory Biostatistics, Second Edition is an excellent textbook for upper-undergraduate and graduate students in introductory biostatistics courses. The book is also an ideal reference for applied statisticians working in the fields of public health, nursing, dentistry, and medicine.
586 pages, Kindle Edition
First published March 17, 2003
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May 1, 2017
TERRIBLE book. The back cover makes a point of saying "Learn this subject without the anxiety!", which is a laugh.Other people have commented that there's also numerous errors within this book for the examples they give.
As someone who has always struggled with math, this book was basically useless. After 9 modules provided by my teacher (I am a MPH student, with a concentration in policy and management, which means that math is NOT my strong point) and having this as my required textbook for the class, I can tell you I learned MAYBE one thing confidently and maybe 4 things comfortably.
I learned more from YouTube than this book!
As someone who has always struggled with math, this book was basically useless. After 9 modules provided by my teacher (I am a MPH student, with a concentration in policy and management, which means that math is NOT my strong point) and having this as my required textbook for the class, I can tell you I learned MAYBE one thing confidently and maybe 4 things comfortably.
I learned more from YouTube than this book!
Displaying 1 of 1 review
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