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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Full text (MCPHS users only) |
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| Main Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Chicester :
Wiley,
2011
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| Edition: | 2nd ed. |
| Subjects: | |
| Local Note: | ProQuest Ebook Central |
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.
