Statistics Applied to Clinical Trials

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