Biostatistical Methods : the Assessment of Relative Risks.

Biostatistical Methods : the Assessment of Relative Risks.

Praise for the First Edition ". . . an excellent textbook ... an indispensable reference for biostatisticians and epidemiologists."--International Statistical Institute A new edition of the definitive guide to classical and modern methods of biostatistics Biostatistics consists of various...

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Bibliographic Details
Main Author: Lachin, John M.
Format: eBook
Language:English
Published: Chicester : Wiley, 2011.
Edition:2nd ed.
Subjects:
Medical statistics.
Health risk assessment > Statistical methods.
Medicine > Research > Statistical methods.
Risk.
Decision making > Mathematical models.
Statistics.
Mathematical models.
Risk management.
Medical informatics.
Medicine > Data processing.
Organization.
Probabilities.
Public health.
Health services administration.
Medical care.
Risk assessment.
Methodology.
mathematical models.
risk management.
probability.
public health.
risk assessment.
methodology.
statistics.
MEDICAL > Biostatistics.
MEDICAL > Research.
Statistics
Risk management
Risk assessment
Risk
Public health
Probabilities
Organization
Methodology
Medicine > Data processing
Medical informatics
Medical care
Mathematical models
Health services administration
Decision making > Mathematical models
Health risk assessment > Statistical methods
Medical statistics
Medicine > Research > Statistical methods
Online Access:Click for online access
Table of Contents:
  • Biostatistical Methods: The Assessment of Relative Risks; Contents; Preface; Preface to First Edition; 1 Biostatistics and Biomedical Science; 1.1 Statistics and the Scientific Method; 1.2 Biostatistics; 1.3 Natural History of Disease Progression; 1.4 Types of Biomedical Studies; 1.5 Studies of Diabetic Nephropathy; 2 Relative Risk Estimates and Tests for Independent Groups; 2.1 Probability as a Measure of Risk; 2.1.1 Prevalence and Incidence; 2.1.2 Binomial Distribution and Large Sample Approximations; 2.1.3 Asymmetric Confidence Limits; 2.1.4 Case of Zero Events.
  • 2.2 Measures of Differential or Relative Risk2.3 Large Sample Distribution; 2.3.1 Risk Difference; 2.3.2 Relative Risk; 2.3.3 Odds Ratio; 2.4 Sampling Models: Likelihoods; 2.4.1 Unconditional Product Binomial Likelihood; 2.4.2 Conditional Hypergeometric Likelihood; 2.4.3 Maximum Likelihood Estimates; 2.4.4 Asymptotically Unbiased Estimates; 2.5 Exact Inference; 2.5.1 Confidence Limits; 2.5.2 Fisher-Irwin Exact Test; 2.6 Large Sample Inferences; 2.6.1 General Considerations; 2.6.2 Unconditional Test; 2.6.3 Conditional Mantel-Haenszel Test; 2.6.4 Cochran's Test; 2.6.5 Likelihood Ratio Test.
  • 2.6.6 Test-Based Confidence Limits2.6.7 Continuity Correction; 2.6.8 Establishing Equivalence or Noninferiority; 2.7 SAS PROC FREQ; 2.8 Other Measures of Differential Risk; 2.8.1 Attributable Risk Fraction; 2.8.2 Population Attributable Risk; 2.8.3 Number Needed to Treat; 2.9 Polychotomous and Ordinal Data; 2.9.1 Multinomial Distribution and Large Sample Approximation; 2.9.2 Pearson Chi-Square Test; 2.9.3 Pearson Goodness-of-Fit Test; 2.9.4 Logits; 2.10 Two Independent Groups with Polychotomous Response; 2.10.1 Large Sample Test of Proportions; 2.10.2 The Pearson Contingency Chi-Square Test.
  • 2.10.3 Odds Ratios2.10.4 Rank Tests: Cochran-Mantel-Haenszel Mean Scores Test; 2.11 Multiple Independent Groups; 2.11.1 The Pearson Test; 2.11.2 Measures of Association; 2.11.3 Logits; 2.11.4 Multiple Tests; 2.11.5 Rank and Correlation Tests; 2.11.6 The Cochran-Armitage Test for Trend; 2.11.7 Exact Tests; 2.12 Problems; 3 Sample Size, Power, and Efficiency; 3.1 Estimation Precision; 3.2 Power of Z-Tests; 3.2.1 Type I and II Errors and Power; 3.2.2 Power and Sample Size; 3.3 Test for Two Proportions; 3.3.1 Power of the Z-Test; 3.3.2 Relative Risk and Odds Ratio; 3.3.3 Equivalence.
  • 3.3.4 Noninferiority3.4 Power of Chi-Square Tests; 3.4.1 Noncentral Chi-Square Distribution; 3.4.2 Pearson Chi-Square Tests; 3.4.3 The Mean Score (Rank) Test; 3.4.4 The Cochran-Armitage Test of Trend; 3.5 SAS PROC POWER; 3.5.1 Test for Two Proportions; 3.5.2 Wilcoxon Mann-Whitney Test; 3.6 Efficiency; 3.6.1 Pitman Efficiency; 3.6.2 Asymptotic Relative Efficiency; 3.6.3 Estimation Efficiency; 3.6.4 Stratified Versus Unstratified Analysis of Risk Differences; 3.7 Problems; 4 Stratified-Adjusted Analysis for Independent Groups; 4.1 Introduction; 4.2 Mantel-Haenszel Test and Cochran's Test.

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