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Clinical Biostatistics and Epidemiology Made Ridiculously Simple

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Clinical Biostatistics and Epidemiology Made Ridiculously Simple

Name: Clinical Biostatistics and Epidemiology Made Ridiculously Simple
Brand: MedMaster
SKU: 14168049
Price: 18.95 USD
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Description

NEW COLOR EDITION!!!

This book is a brief, intuitive approach to clinical biostatistics, not just to pass the "next test," but also to improve patient care by assisting practitioners in evaluating medical literature.

Physicians and other health care practitioners shoud not only understand a reserach paper's Abstract and Conclusions sections, but also the Materials and Methods sections. This requires understanding of key biostatistics concepts and the pitfalls of biostatistics.

In evaluating research, the practitioner needs to ask these four questions:

1. Is this the best research design (prospective, retrospective study, etc.)?
2. Is this the best statistical test to analyze the data (t-test, ANOVA, etc.)?
3. What do the results mean (mean, median, mode, standard deviation, SEM, confidence limits, p-values, F statistic, chi-square, etc.)?
4. Are the researchers' conclusions correct?

This book contains the most important points in clinical biostatistics, presented with clinical examples and clear approach to interpreting research papers.

Excellent USMLE Board Review.

Author(s)

Ann Weaver, Ph.D.
Ann Weaver, PhD, Professor, Statistics and Research, Program Chair of Research and Statistics, Argosy University, Sarasota FL.

Stephen Goldberg, M.D.
Stephen Goldberg, M.D., a graduate of the Albert Einstein College of Medicine, is a researcher, physician, teacher, computer programmer, writer, musician/composer, and past President of the Medmaster Publishing Company for 40 years. Dr. Goldberg has published numerous medical and scientific papers through research at the Albert Einstein College of Medicine, National Institutes of Health, New York Medical College and the University of Miami School of Medicine. He has authored 20 books in a diversity of medical areas, including textbooks of Anatomy, Physiology, Biochemistry, Genetics, Biostatistics and Epidemiology, Neurology, Consciousness, Ophthalmology, Hematology, and Computer Programming, as well as many interactive computer programs on various medical topics, including Atlas of Microbiology and Atlas of Human Diseases. He is Professor Emeritus at the University of Miami Miller School of Medicine, where he taught medical students for 25 years. His reputation is that of an educator who can simplify complex topics. He received the George Paff Most Outstanding Professor Teaching Award11 times at the U of M and was invited in 2004 to be the keynote speaker at the medical school graduation commencement at the Washington University School of Medicine in St. Louis for his work in medical education. He is currently Editor-in-Chief of the Medmaster Publishing Company.

Details

Pages: 104

Publication: Edition 2 (February 10, 2026)

Language: English

ISBN: 9781962445337 eISBN: 9781962445344

Table of contents

PART I. INTRODUCTION

CHAPTER 1. TERMINOLOGY

- Population, Sample, and Element

- Descriptive vs. Inferential Statistics

- Parameter vs. Statistic Sampling

- Error vs. Selection

- Bias Imprecision vs. Bias (Inaccuracy)

- Validity vs. Reliability

- Independent vs. Dependent Variables

- Normal (Gaussian), Skewed and Kurtotic curves

- Multiplication and Addition Rules of Probability

- Statistical Significance vs. Clinical Significance

- Statistical Abnormality vs. Clinical Abnormality

CHAPTER 2. MEAN, MEDIAN, AND MODE

- Mean

- Median

- Mode

- What’s Wrong Here? *#!!

CHAPTER 3. RANGE, VARIATION, AND STANDARD DEVIATION

- Range

- Variance

- Standard Deviation

- Coefficient of Variation

CHAPTER 4. KINDS OF DATA

- Nominal Data

- Ordinal Data

- Interval Data

- Ratio Data

PART II. RESEARCH DESIGN

CHAPTER 5. KINDS OF STUDIES

- Randomized Control Studies

- Matching Studies

- Stratified Randomization Studies

- Blind Studies

- Prospective (Cohort; Longitudinal) Studies

- Retrospective (Case-control) Studies

- Cross-sectional (Prevalence) Studies

- Experimental vs. Observational Studies

- Case Series and Case Reports

- Meta-analysis

- Crossover, Between-subjects, and Within-subjects Studies

- Therapeutic Trials

CHAPTER 6. GRAPHING

- Bar Graphs (Bar Charts)

- Tables

- Histograms

- Line Graphs

- Cumulative Frequency Curves

- Box-and-Whiskers Plots

- Stem-and-Leaf Plots

- Scattergrams

- Survival Curves

CHAPTER 7. HYPOTHESIS TESTING

- The Null and Alternative Hypotheses

- Rejecting the Null Hypothesis

PART III. STATISTICAL TESTS

- Parametric vs. Nonparametric Tests

CHAPTER 8. DESCRIPTIVE STATISTICS

- The Z-score

CHAPTER 9. INFERENTIAL STATISTICS

- Confidence Intervals vs. Hypothesis Testing and P-values

CHAPTER 10. STANDARD ERROR OF THE MEAN

- The Central Limit Theorem

- Standard Error of the Mean (SEM)

CHAPTER 11. THE T-TEST

- The Meaning of the T-Test

- Comparing Two Samples

CHAPTER 12. ONE-TAILED VS. TWO-TAILED STUDIES

- The two-tailed test

- The one-tailed test

CHAPTER 13. P-ING (PEE-ING) ALL OVER THE PLACE

CHAPTER 14. TYPE I AND TYPE II ERRORS AND POWER

- Type I and Type II Errors

- Power

- Effect Size

- Bayesian Thinking

- Calculation of Sample Size

CHAPTER 15. ANOVA (ANALYSIS OF VARIANCE)

- ANOVA and F-ratio

- MANOVA and ANCOVA

CHAPTER 16. CORRELATION AND REGRESSION

- Correlation Techniques

- Correlation Coefficient

- Coefficient of Determination

- Correlation Does Not Mean Causation

- Criteria of Causality

- Regression

- Kinds of Regression Analysis

- Regression to the Mean

CHAPTER 17. NONPARAMETRIC TESTS

- Chi Square Goodness-of-Fit Test

- Nonparametric Tests That Use Ranking

- Nonparametric Tests That Do Not Use Ranking

CHAPTER 18. EPIDEMIOLOGICAL TESTS

- Incidence vs. Prevalence

- Mortality, Morbidity, and Case Fatality

- Absolute Risk vs. Relative Risk (RR)

- Odds and Odds Ratio (Relative Odds)

- Absolute Risk Reduction (Attributable Risk) vs. Relative Risk Reduction

- Number Needed to Treat (NNT)

- Number Needed to Harm (NNH)

- Sensitivity vs. Specificity

- Positive and Negative Predictive Values

PART IV. ARE THE RESEARCH CONCLUSIONS CORRECT?

CHAPTER 19. WHAT'S WRONG HERE?

- Who Says So?

- How Does the Researcher Know?

- What's Missing?

- Did Someone Change the Subject?

- Does It Make Sense?

Appendix A. The Z table

Appendix B. The T table

Appendix C. The Chi-square Table

References

INDEX

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Customer Reviews

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Marissa Blumenthal

Amazing reference, wish I knew about it in Pharmacy School!

Amazing reference, wish I knew about it in Pharmacy School! I wish I had this book in pharmacy school, I would have definitely understood journal clubs a lot better and faster, without having to read so many articles. This book is an AMAZING reference!

Ana

Perfect!!

Perfect!! Great practice source!!! Used it for the steps!!

Rachel Hayes

Worth the buy!

Worth the buy! My professor listed this book rather than a textbook and I'm so glad! It's very easy to read and simplified bio stats tremendously.

Sam

Easy read!

Easy read! Great book with concepts very easily explained.

N.M.S.

Best book for epidemiology.

Best book for epidemiology! "If u can't explain it simply, you don't understand it well enough"--- made ridiculously simple series of books have mastered this. Just buy it!

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