Cleophas / Zwinderman Statistics Applied to Clinical Trials

3rd Auflage 2006
ISBN: 978-1-4020-4650-6
Verlag: Springer Netherland
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 366 Seiten, eBook

Zielgruppe

Research

Autoren/Hrsg.

Cleophas, Ton J.

Zwinderman, A.H.

Cleophas, T.F.

Cleophas, Toine F.

Cleophas, Eugene P.

Inhaltsverzeichnis

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