Meta-analysis by the Confidence Profile Method

Meta-analysis by the Confidence Profile Method

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Over the past decade a set of quantitative methods known as meta-analysis has been developed to help synthesize evidence to estimate the outcomes of different actions. This text describes a new set of meta-analytic methods known collectively as the Confidence Profile Method. This method contains techniques for interpreting individual experiments, adjusting the experiments for factors that affect their comparability or applicability to specific questions, and combining evidence from multiple sources. It provides solutions for proceeding in the face of imperfect and incomplete evidence. Originally developed to synthesize experimental evidence in the field of medicine, the Confidence Profile Method also applies to fields such as agriculture, biology, environmental science, and social science. A tutorial software programme accompanies this book.
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Product details

  • Hardback | 435 pages
  • 159 x 235.46 x 25.15mm | 807.39g
  • Academic Press Inc
  • San Diego, United States
  • English
  • 0122306201
  • 9780122306204

Table of contents

Part 1 Examples of problems - vignettes: setting up the analysis - formulating the problem; organizing the evidence; types of evidence; biases; summarizing the evidence; influence diagrams; models for combining evidence; introduction to Bayes' Formula. Part 2 Formulas of the confidence profile method: components of the confidence profile method; the general model; prior distributions; likelihood functions; bias functions; other functions; solution methods. Part 3 Solutions to the example problems: analysis of tamoxifen; analysis of HIP trial of breast cancer screening; analysis of Ulrecht Project (DOM); analysis of breast cancer screening - seven controlled trials; Analysis of Breast Cancer Detection Demonstration Project (BCDDP); analysis of t-Pa; Analysis of Anisoylated Plasminogen Streptokinase Activated Complex (APSAC); analysis of amlodipine; analysis of alcohol and breast cancer; analysis of screening for maple syrup urine disease; analysis of nitrogen dioxide and respiratory illness in children; analysis of surveillance of colorectal cancer patients; analysis of colon cancer screening trial. Part 4 Implementation issues: sensitivity analysis; research planning; data collection and reporting; test case. Conclusions: other meta-analysis methods; summary and conclusions.
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