High-Yield Biostatistics, Epidemiology, and Public Health

High-Yield Biostatistics, Epidemiology, and Public Health 9781451130171
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Publication Date: Mar 1, 2013
Availability: IN STOCK
Format: Book
Edition: Fourth
ISBN/ISSN: 9781451130171
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Description

High-Yield™ Biostatistics, Epidemiology, and Public Health, Fourth Edition provides a concise review of the biostatistics concepts that are tested in the USMLE Step 1. Information is presented in an easy-to-follow format, with High-Yield Points that help students focus on the most important USMLE Step 1 facts. The High-Yield™ outline format, with tables, diagrams, photographs, and images to clarify important material, provides a concentrated, efficient review for both course exams and the USMLE.

Features

--New chapter covers epidemiology and public health in greater detail
--Memorable examples aid in understanding difficult concepts
--Outline format provides a concentrated, efficient method of studying for both course exams and the USMLE
--Diagrams, photographs and images are included to clarify technical material

About the Author(s)

  • Anthony N Glaser MD, Ph.D
  • Clinical Assistant Professor, Medical University of South Carolina; Private Practice of Family Medicine, Charleston, SC

Specs

  • Edition: Fourth
  • Product Format: Softbound
  • ISBN: 9781451130171
  • Trim Size: 7 x 10
  • Pages: 168
  • Pub Date: Mar 1, 2013

Table of contents

...... Statistical Symbols ...... Preface 1.... Descriptive Statistics        Populations, samples, and elements        Probability        Types of data        Frequency distributions        Measures of central tendency        Measures of variability        Z scores        Exercises 2.... Inferential Statistics        Statistics and parameters         Estimating the mean of a population         Exercises  3.... Hypothesis Testing        Step 1: State the null and alternative hypotheses         Step 2: Select the decision criterion a         Step 3: Establish the critical values         Step 4: Draw a random sample from the population and calculate the mean of that sample        Step 5: Calculate the standard deviation (S) and estimated standard error of the sample (sX_)        Step 6: Calculate the value of t that corresponds to the mean of the sample (tcalc)        Step 7: Compare the calculated value of t with the critical values of t, and then accept or reject the null hypothesis        Z-tests        The meaning of statistical significance        Type I and type II errors        Power of statistical tests        Directional hypotheses        Testing for differences between groups        Analysis of variance (ANOVA)        Nonparametric and distribution-free tests        Exercises 4.... Correlational Techniques        Correlation         Regression         Choosing an appropriate inferential or correlational technique         Exercises  5.... Research Methods        Experimental studies         Nonexperimental studies         Exercises  6.... Statistics in Epidemiology        Rates         Measurement of risk         Exercises  7.... Statistics in Medical Decision Making        Validity         Reliability         Reference values         Sensitivity and specificity         Predictive values         Exercises  8.... Ultra-High-Yield Review ...... Appendix: Exercise Answers ...... References ...... Index