By Thomas A. Lang and Michelle Secic
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How to Report Statistics in Medicine presents a comprehensive and comprehensible set of guidelines for reporting the statistical analyses and research designs and activities commonly used in biomedical research.
"an excellent resource guide to best practices in statistical reporting in medical literature" — British Medical Journal
Containing elements of a reference book, a style manual, a dictionary, an encyclopedia, and a text book, it is the standard guide in the fields of medical writing, scientific publications, and evidence-based medicine throughout the world.
- Specific, detailed guidelines for reporting and interpreting statistics and research designs and activities in biomedical science.
- Sample presentations that guide you in reporting statistics correctly and completely.
- Coverage of current and emerging topics in statistics and trial design.
Written by a senior medical writer and a senior biostatistician, the text is both clear and accurate, and the information is complete and pragmatic. Designed for anyone who needs to interpret or report statistics in medicine.
- 490 pages, 2006, softcover
- Product #330351060
- ISBN 10: 1-930513-69-0
- ISBN 13: 978-1-930513-69-3
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Table of Contents
Preface to the First Edition
Differences between Clinical and Statistical Significance
A Note to the Reader
Part I: Guidelines for Reporting Statistics in Medicine
Chapter 1: Summarizing Data: Reporting Numbers and Descriptive Statistics
Chapter 2: Comparing Probabilities of Events: Reporting Measures of Risk
Chapter 3: Generalizing from a Sample to a Population: Reporting Estimates and Confidence Intervals
Chapter 4: Comparing Groups with P Values: Reporting Hypothesis Tests
Chapter 5: Adjusting for Several P Values: The Multiple Testing Problem
Chapter 6: Testing for Relationships: Reporting Association and Correlation Analyses
Chapter 7: Predicting Values from One or More Variables: Reporting Regression Analyses
Chapter 8: Analyzing Groups with Multiple Variables: Reporting Analysis of Variance (ANOVA)
Chapter 9: Assessing Time-to-Event as an Endpoint: Reporting Survival Analyses
Chapter 10: Determining the Presence or Absence of Disease: Reporting the Performance Characteristics of Diagnostic Tests
Chapter 11: Considering "Prior Probabilities": Reporting Bayesian Statistical Analyses
Chapter 12: Describing Patterns of Disease and Disability in Populations: Reporting Epidemiological Measures
Part II: Guidelines for Reporting Research Designs and Activities
Chapter 13: Testing Interventions in Experimental Studies: Reporting Randomized Controlled Trials
Chapter 14: Observing Prospectively, from Exposure to Outcome: Reporting Cohort or Longitud