Statistics Applied to Clinical Studies

1. Hypotheses, Data, Stratification
Ton J. Cleophas, Aeilko H. Zwinderman

2. The Analysis of Efficacy Data
Ton J. Cleophas, Aeilko H. Zwinderman

3. The Analysis of Safety Data
Ton J. Cleophas, Aeilko H. Zwinderman

4. Log Likelihood Ratio Tests for Safety Data Analysis
Ton J. Cleophas, Aeilko H. Zwinderman

5. Equivalence Testing
Ton J. Cleophas, Aeilko H. Zwinderman

6. Statistical Power and Sample Size
Ton J. Cleophas, Aeilko H. Zwinderman

7. Interim Analyses
Ton J. Cleophas, Aeilko H. Zwinderman

8. Controlling the Risk of False Positive Clinical Trials
Ton J. Cleophas, Aeilko H. Zwinderman

9. Multiple Statistical Inferences
Ton J. Cleophas, Aeilko H. Zwinderman

10. The Interpretation of the p-Values
Ton J. Cleophas, Aeilko H. Zwinderman

11. Research Data Closer to Expectation than Compatible with Random Sampling
Ton J. Cleophas, Aeilko H. Zwinderman

12. Statistical Tables for Testing Data Closer to Expectation than Compatible with Random Sampling
Ton J. Cleophas, Aeilko H. Zwinderman

13. Data Dispersion Issues
Ton J. Cleophas, Aeilko H. Zwinderman

14. Linear Regression, Basic Approach
Ton J. Cleophas, Aeilko H. Zwinderman

15. Linear Regression for Assessing Precision, Confounding, Interaction, Basic Approach
Ton J. Cleophas, Aeilko H. Zwinderman

16. Curvilinear Regression
Ton J. Cleophas, Aeilko H. Zwinderman

17. Logistic and Cox Regression, Markov Models, Laplace Transformations
Ton J. Cleophas, Aeilko H. Zwinderman

18. Regression Modeling for Improved Precision
Ton J. Cleophas, Aeilko H. Zwinderman

19. Post-hoc Analyses in Clinical Trials, A Case for Logistic Regression Analysis
Ton J. Cleophas, Aeilko H. Zwinderman

20. Multistage Regression
Ton J. Cleophas, Aeilko H. Zwinderman

21. Categorical Data
Ton J. Cleophas, Aeilko H. Zwinderman

22. Missing Data
Ton J. Cleophas, Aeilko H. Zwinderman

23. Poisson Regression
Ton J. Cleophas, Aeilko H. Zwinderman

24. More on Non Linear Relationships, Splines
Ton J. Cleophas, Aeilko H. Zwinderman

25. Multivariate Analysis
Ton J. Cleophas, Aeilko H. Zwinderman

26. Bhattacharya Modeling
Ton J. Cleophas, Aeilko H. Zwinderman

27. Trend-Testing
Ton J. Cleophas, Aeilko H. Zwinderman

28. Confounding
Ton J. Cleophas, Aeilko H. Zwinderman

29. Propensity Score Matching
Ton J. Cleophas, Aeilko H. Zwinderman

30. Interaction
Ton J. Cleophas, Aeilko H. Zwinderman

31. Time-Dependent Factor Analysis
Ton J. Cleophas, Aeilko H. Zwinderman

32. Meta-analysis, Basic Approach
Ton J. Cleophas, Aeilko H. Zwinderman

33. Meta-analysis, Review and Update of Methodologies
Ton J. Cleophas, Aeilko H. Zwinderman

34. Meta-regression
Ton J. Cleophas, Aeilko H. Zwinderman

35. Crossover Studies with Continuous Variables
Ton J. Cleophas, Aeilko H. Zwinderman

36. Crossover Studies with Binary Responses
Ton J. Cleophas, Aeilko H. Zwinderman

37. Cross-Over Trials Should Not Be Used to Test Treatments with Different Chemical Class
Ton J. Cleophas, Aeilko H. Zwinderman

38. Quality-Of-Life Assessments in Clinical Trials
Ton J. Cleophas, Aeilko H. Zwinderman

39. Item Response Modeling
Ton J. Cleophas, Aeilko H. Zwinderman

40. Statistical Analysis of Genetic Data
Ton J. Cleophas, Aeilko H. Zwinderman

41. Relationship Among Statistical Distributions
Ton J. Cleophas, Aeilko H. Zwinderman

42. Testing Clinical Trials for Randomness
Ton J. Cleophas, Aeilko H. Zwinderman

43. Clinical Trials Do Not Use Random Samples Anymore
Ton J. Cleophas, Aeilko H. Zwinderman

44. Clinical Data Where Variability Is More Important Than Averages
Ton J. Cleophas, Aeilko H. Zwinderman

45. Testing Reproducibility
Ton J. Cleophas, Aeilko H. Zwinderman

46. Validating Qualitative Diagnostic Tests
Ton J. Cleophas, Aeilko H. Zwinderman

47. Uncertainty of Qualitative Diagnostic Tests
Ton J. Cleophas, Aeilko H. Zwinderman

48. Meta-Analysis of Qualitative Diagnostic Tests
Ton J. Cleophas, Aeilko H. Zwinderman

49. c-Statistic Versus Logistic Regression for Assessing the Performance of Qualitative Diagnostic Accuracy
Ton J. Cleophas, Aeilko H. Zwinderman

50. Validating Quantitative Diagnostic Tests
Ton J. Cleophas, Aeilko H. Zwinderman

51. Summary of Validation Procedures for Diagnostic Tests
Ton J. Cleophas, Aeilko H. Zwinderman

52. Validating Surrogate Endpoints of Clinical Trials
Ton J. Cleophas, Aeilko H. Zwinderman

53. Binary Partitioning
Ton J. Cleophas, Aeilko H. Zwinderman

54. Methods for Repeated Measures Analysis
Ton J. Cleophas, Aeilko H. Zwinderman

55. Mixed Linear Models for Repeated Measures
Ton J. Cleophas, Aeilko H. Zwinderman

56. Advanced Analysis of Variance, Random Effects and Mixed Effects Models
Ton J. Cleophas, Aeilko H. Zwinderman

57. Monte Carlo Methods for Data Analysis
Ton J. Cleophas, Aeilko H. Zwinderman

58. Artificial Intelligence
Ton J. Cleophas, Aeilko H. Zwinderman

59. Fuzzy Logic
Ton J. Cleophas, Aeilko H. Zwinderman

60. Physicians’ Daily Life and the Scientific Method
Ton J. Cleophas, Aeilko H. Zwinderman

61. Incident Analysis and the Scientific Method
Ton J. Cleophas, Aeilko H. Zwinderman

62. Clinical Trials: Superiority-Testing
Ton J. Cleophas, Aeilko H. Zwinderman

63. Noninferiority Testing
Ton J. Cleophas, Aeilko H. Zwinderman

64. Time Series
Ton J. Cleophas, Aeilko H. Zwinderman

65. Odds Ratios and Multiple Regression Models, Why and How to Use Them
Ton J. Cleophas, Aeilko H. Zwinderman

66. Statistics Is No “Bloodless” Algebra
Ton J. Cleophas, Aeilko H. Zwinderman

67. Bias Due to Conflicts of Interests, Some Guidelines
Ton J. Cleophas, Aeilko H. Zwinderman

Nyckelord: Biomedicine, Biomedicine general, Laboratory Medicine, Statistics, general, Statistics for Life Sciences, Medicine, Health Sciences, Internal Medicine