Understanding Clinical Data Analysis: Learning Statistical Principles from Published Clinical Research - Couverture souple
Synopsis
Chapter 1
Randomness
Basis of All Scientific Methods
Chapter 2
Randomized and Observational Research
Writing Protocols, Making Study Data Files
Chapter 3
Randomized Clinical Trials, Designs
Questionable Use of Placebos and Lack of Placebos, Stepped Wedge and Adaptive Designs
Chapter 4
Randomized Clinical Trials, Analysis Sets, Statistical Analysis, Reporting Issues
Principal Features of Statistical Analyses, the Cochrane Risk-of-Bias-Tool
Chapter 5
Discrete Data Analysis, Failure Time Data Analysis
Better Assessments of Biological and Pharmaceutical Agents
Chapter 6
Quantitative Data Analysis
Modeling for False Positive Findings, Using Median Absolute Deviations
Chapter 7
Subgroup Analysis
European Medicines Agency's and American Food Drug Administration's Directives
Chapter 8
Interim Analysis
Alpha Spending Function Approach
Chapter 9
Multiplicity Analysis
Gate Keeping Strategies and Closure Principles
Chapter 10
Medical Statistics, a Discipline at the Interface of Biology and Mathematics
Equating Subjective Feelings with Probabilities, and Providing Quality Criteria for Diagnostic Tests
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