Statistics in Medicine
- 1st Edition - August 2, 1999
- Author: Robert H. Riffenburgh
- Language: English
This book covers 30% of statistical methods used for 90% of medical studies. It opens with databases from clinical medicine and uses such data throughout to give multiple… Read more
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This book covers 30% of statistical methods used for 90% of medical studies. It opens with databases from clinical medicine and uses such data throughout to give multiple worked-out illustrations for every method. In contrast to a traditional text, it provides two parts: (I) an introductory text for students in medicine, dentistry, nursing, pharmacy, and other health care fields, and (II) a reference manual to support practicing clinicians in reading medical literature or conducting research study. The textbook part starts at ground zero in mathematics and covers only the basic concepts and the most frequently seen methods in biostatistics, following the philosophy that what the student remembers five years after the course is the important issue, not what is forgotten. The reference part is written to allow topic hop-about rather than a required sequence of reading. It is well indexed to find topics and terms. A great effort has been made to make it user friendly and the foreword has been written by VADM Richard Nelson M.D., Surgeon General of the Navy and Chief, Bureau of Medicine and Surgery.
@introbul:Key Features
@bul:* Easy-to-follow format includes medical examples, step-by-step methods, and check-yourself exercises
* Includes a summary of formulas, method algorithms, and check lists in a back section
* Thorough discussion on required sample size
* Covers germane topics honed through multiple lecture series to hospital staff and residents
* Facilitates scanning and review by leading off each paragraph with its topic or gist in italics
* Covers important topics omitted in most biostatistics texts:
@subul:* Multiple, curvlinear, and logarithmic regression
* Survival methods
* Sequential analysis
* Time series
* Number Needed to Treat
* Meta-analysis
@bul:* Easy-to-follow format includes medical examples, step-by-step methods, and check-yourself exercises
* Includes a summary of formulas, method algorithms, and check lists in a back section
* Thorough discussion on required sample size
* Covers germane topics honed through multiple lecture series to hospital staff and residents
* Facilitates scanning and review by leading off each paragraph with its topic or gist in italics
* Covers important topics omitted in most biostatistics texts:
@subul:* Multiple, curvlinear, and logarithmic regression
* Survival methods
* Sequential analysis
* Time series
* Number Needed to Treat
* Meta-analysis
Students in public health and practicing clinicians and researchers.
Course of Study:
Data, Notation, and Basic Terms.
Distributions.
Summary Statistics.
Confidence, Intervals and Probability.
Concept and Practice in Hypothesis Testing.
Medical Decisions: Statistical Testing, Risk and Odds.
Sample Size Required for a Study.
Statistical Prediction.
Epidemiology.
Answers to problems for Part I.
Reference Handbook:
Reading Articles and Planning Studies.
Tables of Probability Distributions.
Confidence Intervals.
Common Tests on Categorical Data.
Common Tests on Ranked Data.
Common Tests on Continuous Data Means.
Common Tests on Continuous Data Variances.
Common Tests on the Distribution Shape of Continuous Data.
Sample Size Required for a Study.
Modeling and Clinical Decisions.
Regression and Correlation Methods.
Survival and Time-Series Analysis.
Chapter Summaries.
References and Data Sources.
Tables of Probability Distributions.
Index.
Data, Notation, and Basic Terms.
Distributions.
Summary Statistics.
Confidence, Intervals and Probability.
Concept and Practice in Hypothesis Testing.
Medical Decisions: Statistical Testing, Risk and Odds.
Sample Size Required for a Study.
Statistical Prediction.
Epidemiology.
Answers to problems for Part I.
Reference Handbook:
Reading Articles and Planning Studies.
Tables of Probability Distributions.
Confidence Intervals.
Common Tests on Categorical Data.
Common Tests on Ranked Data.
Common Tests on Continuous Data Means.
Common Tests on Continuous Data Variances.
Common Tests on the Distribution Shape of Continuous Data.
Sample Size Required for a Study.
Modeling and Clinical Decisions.
Regression and Correlation Methods.
Survival and Time-Series Analysis.
Chapter Summaries.
References and Data Sources.
Tables of Probability Distributions.
Index.
- Edition: 1
- Published: August 2, 1999
- Language: English
RR
Robert H. Riffenburgh
Robert H. Riffenburgh, PhD, advises on experimental design, statistical analysis, and scientific integrity of the approximately 400 concurrent studies at the Naval Medical Center San Diego. A fellow of the American Statistical Association and Royal Statistical Society, he is former Professor and Head, Statistics Department, University of Connecticut, and has been faculty at Virginia Tech., University of Hawaii, University of Maryland, University of California San Diego, San Diego State University, and University of Leiden (The Netherlands). He has been president of his own consulting firm and performed and directed operations research for the U.S. government and for NATO. He has consulted on biostatistics throughout his career, has received numerous awards, and has published more than 140 professional articles.
Affiliations and expertise
Naval Medical Center, San Diego, California, USA