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Clinical Biostatistics and Epidemiology Made Ridiculously Simple PDF Free Download

July 28, 2020 by Dr. Medicalstudyzone.com 1 Comment

In this blog post, we are going to share a free PDF download of Clinical Biostatistics and Epidemiology Made Ridiculously Simple PDF using direct links. In order to ensure that user-safety is not compromised and you enjoy faster downloads, we have used trusted 3rd-party repository links that are not hosted on our website.

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Now before that we move on to sharing the free PDF download of Clinical Biostatistics and Epidemiology Made Ridiculously Simple PDF with you, here are a few important details regarding this book which you might be interested.

Clinical Biostatistics and Epidemiology Made Ridiculously Simple PDF Free Download

The most important points in clinical biostatistics, presented intuitively with clinical examples. Because intuitive concepts are the easiest to learn and retain, this book minimizes math and emphasizes concepts. From terminology to research design to various statistical testing, this text provides a lasting clear approach to interpreting medical research reports. Valuable for biostatistics courses.

Excellent USMLE Board Review.

Contents

    • 0.1 Book Details
    • 0.2 About The Author
      • 0.2.1 Ann Weaver
      • 0.2.2 Stephen Goldberg
  • 1 Clinical Biostatistics and Epidemiology Made Ridiculously Simple PDF Free Download

Book Details

Pages 104
ISBN 9781935660026
Publication Edition 1 (April 1, 2012)
Language English

About The Author

Ann Weaver

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

Stephen Goldberg

Stephen Goldberg, M.D.: Professor Emeritus, Dept. of Cell Biology and Anatomy, University of Miami Miller School of Medicine.

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

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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Clinical Biostatistics and Epidemiology Made Ridiculously Simple PDF Free Download

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Comments

  1. Medicine says

    July 31, 2021 at 10:59 am

    i am in need of this book.

    Reply

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