ForewordChapter 1: Hypotheses, Data, StratificationChapter 2: The Analysis of Efficacy DataChapter 3: The Analysis of Safety DataChapter 4: Log Likelihood Ratio Tests for Safety Data AnalysisChapter 5: Equivalence TestingChapter 6: Statistical Power and Sample SizeChapter 7: Interim AnalysesChapter 8: Clinical Trials Are Often False PositiveChapter 9: Multiple Statistical InferencesChapter 10: The Interpretation of the P-ValuesChapter 11: Research Data Closer to Expectation than Compatible with Random SamplingChapter 12: Statistical Tables for Testing Data Closer to Expectation than Compatible with Random SamplingChapter 13: Principles of Linear RegressionChapter 14: Subgroup Analysis Using Multiple Linear Regression: Confounding, Interaction, SynergismChapter 15: Curvilinear RegressionChapter 16: Logistic and Cox Regression, Markow Models, Regression with Laplace TransformationsChapter 17: Regression Modeling For Improved PrecisionChapter 18: Post-Hoc Analysis in Clinical Trials, A Case For Logistic Regression AnalysisChapter 19: ConfoundingChapter 20: InteractionChapter 21: Meta-Analysis, Basic ApproachChapter 22: Meta-Analysis, Review and Update of MethodologiesChapter 23: Crossover Studies with Continuous VariablesChapter 24: Crossover Studies with Binary ResponsesChapter 25: Cross-Over Trials Should Not Be Used To Test Treatments with Different Chemical ClassChapter 26: Quality-Of-Life Assessments in Clinical TrialsChapter 27: Statistics for the Analysis of Genetic DataChapter 28: Relationship among Statistical DistributionsChapter 29: Testing Clinical Trials for RandomnessChapter 30: Clinical Trials Do Not Use Random Samples AnymoreChapter 31: Clinical Data Where Variability Is More Important than AveragesChapter 32: Testing ReproducibilityChapter 33: Validating Qualitative Diagnostic TestsChapter 34: Uncertainty of Qualitative Diagnostic TestsChapter 35: Meta-Analyses of Qualitative Diagnostic TestsChapter 36: Validating Quantitative Diagnostic TestsChapter 37: Summary of Validation Procedures for Diagnostic TestsChapter 38: Validating Surrogate Endpoints of Clinical TrialsChapter 39: Methods for Repeated Measures AnalysisChapter 40: Advanced Analysis Of Variance, Random Effects and Mixed Effects ModelsChapter 41: Monte Carlo Methods for Data AnalysisChapter 42: Physicians' Daily Life and the Scientific MethodChapter 43: Superiority-TestingChapter 44: Trend-TestingChapter 45: Odds Ratios and Multiple Regression, Why and How to Use ThemChapter 46: Statistics Is No "Bloodless" AlgebraChapter 47: Bias Due to Conflicts of Interests, Some GuidelinesAppendixIndex

Inhalt

Foreword
Chapter 1: Hypotheses, Data, Stratification
Chapter 2: The Analysis of Efficacy Data
Chapter 3: The Analysis of Safety Data
Chapter 4: Log Likelihood Ratio Tests for Safety Data Analysis
Chapter 5: Equivalence Testing
Chapter 6: Statistical Power and Sample Size
Chapter 7: Interim Analyses
Chapter 8: Clinical Trials Are Often False Positive
Chapter 9: Multiple Statistical Inferences
Chapter 10: The Interpretation of the P-Values
Chapter 11: Research Data Closer to Expectation than Compatible with Random Sampling
Chapter 12: Statistical Tables for Testing Data Closer to Expectation than Compatible with Random Sampling
Chapter 13: Principles of Linear Regression
Chapter 14: Subgroup Analysis Using Multiple Linear Regression: Confounding, Interaction, Synergism
Chapter 15: Curvilinear Regression
Chapter 16: Logistic and Cox Regression, Markow Models, Regression with Laplace Transformations
Chapter 17: Regression Modeling For Improved Precision
Chapter 18: Post-Hoc Analysis in Clinical Trials, A Case For Logistic Regression Analysis
Chapter 19: Confounding
Chapter 20: Interaction
Chapter 21: Meta-Analysis, Basic Approach
Chapter 22: Meta-Analysis, Review and Update of Methodologies
Chapter 23: Crossover Studies with Continuous Variables
Chapter 24: Crossover Studies with Binary Responses
Chapter 25: Cross-Over Trials Should Not Be Used To Test Treatments with Different Chemical Class
Chapter 26: Quality-Of-Life Assessments in Clinical Trials
Chapter 27: Statistics for the Analysis of Genetic Data
Chapter 28: Relationship among Statistical Distributions
Chapter 29: Testing Clinical Trials for Randomness
Chapter 30: Clinical Trials Do Not Use Random Samples Anymore
Chapter 31: Clinical Data Where Variability Is More Important than Averages
Chapter 32: Testing Reproducibility
Chapter 33: Validating Qualitative Diagnostic Tests
Chapter 34: Uncertainty of Qualitative Diagnostic Tests
Chapter 35: Meta-Analyses of Qualitative Diagnostic Tests
Chapter 36: Validating Quantitative Diagnostic Tests
Chapter 37: Summary of Validation Procedures for Diagnostic Tests
Chapter 38: Validating Surrogate Endpoints of Clinical Trials
Chapter 39: Methods for Repeated Measures Analysis
Chapter 40: Advanced Analysis Of Variance, Random Effects and Mixed Effects Models
Chapter 41: Monte Carlo Methods for Data Analysis
Chapter 42: Physicians' Daily Life and the Scientific Method
Chapter 43: Superiority-Testing
Chapter 44: Trend-Testing
Chapter 45: Odds Ratios and Multiple Regression, Why and How to Use Them
Chapter 46: Statistics Is No "Bloodless" Algebra
Chapter 47: Bias Due to Conflicts of Interests, Some Guidelines
Appendix
Index