A fundamental and straightforward guide to using and
understanding statistical concepts in medical research
Designed specifically for healthcare practitioners who need to
understand basic biostatistics but do not have much time to spare,
The Essentials of Biostatistics for Physicians, Nurses and
Clinicians presents important statistical methods used in
today’s biomedical research and provides insight on their
appropriate application. Rather than provide detailed mathematics
for each of these methods, the book emphasizes what healthcare
practitioners need to know to interpret and incorporate the latest
biomedical research into their practices.
The author draws from his own experience developing and teaching
biostatistics courses for physicians and nurses, offering a
presentation that is non-technical and accessible. The book begins
with a basic introduction to the relationship between biostatistics
and medical research, asking the question ‘why study statistics?, ‘
while also exploring the significance of statisitcal methods in
medical literature and clinical trials research. Subsequent
chapters explore key topics, including:
* Correlation, regression, and logistic regression
* Diagnostics
* Estimating means and proportions
* Normal distribution and the central limit theorem
* Sampling from populations
* Contingency tables
* Meta-analysis
* Nonparametric methods
* Survival analysis
Throughout the book, statistical methods that are often utilized
in biomedical research are outlined, including repeated measures
analysis of variance, hazard ratios, contingency tables, log rank
tests, bioequivalence, cross-over designs, selection bias, and
group sequential methods. Exercise sets at the end of each chapter
allow readers to test their comprehension of the presented concepts
and techniques.
The Essentials of Biostatistics for Physicians, Nurses, and
Clinicians is an excellent reference for doctors, nurses, and
other practicing clinicians in the fields of medicine, public
health, pharmacy, and the life sciences who need to understand and
apply statistical methods in their everyday work. It also serves as
a suitable supplement for courses on biostatistics at the
upper-undergraduate and graduate levels.
Table of Content
1. The What, Why and How of Biostatistics in Medical Research.
2. Sampling from Populations.
3. Graphics and Summary Statistics.
4. Normal Distribution and Related Properties.
5. Estimating Means and Proportions.
6. Hypothesis Testing.
7. Correlation, Regression, and Logistic Regression.
8. Contingency Tables.
9. Nonparametric Methods.
10. Survival Analysis.
Bibliography.
Index.
About the author
Michael R. Chernick, Ph D, is Manager of Biostatistical Services at Lankenau Institute for Medical Research, where he conducts statistical design and analysis for pharmaceutical research. He has more than thirty years of experience in the application of statistical methods to such areas as medicine, energy, engineering, insurance, and pharmaceuticals. Dr. Chernick is the author of Bootstrap Methods: A Guide for Practitioners and Researchers, Second Edition, and the coauthor of Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap, both published by Wiley.
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