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  1. ''LEGAL NOTICE AND DISCLAIMER''‏‎ (10:57, 27 June 2016)
  2. LEGAL NOTICE AND DISCLAIMER‏‎ (11:00, 27 June 2016)
  3. Abstract‏‎ (11:01, 27 June 2016)
  4. Preferred terminology‏‎ (11:06, 27 June 2016)
  5. Data scrubbing‏‎ (11:16, 27 June 2016)
  6. Outliers‏‎ (11:16, 27 June 2016)
  7. Predictive variable selection‏‎ (11:18, 27 June 2016)
  8. Computing a multivariate odds ratio‏‎ (11:22, 27 June 2016)
  9. Transformation of variables‏‎ (11:26, 27 June 2016)
  10. Including interaction terms in the model‏‎ (11:28, 27 June 2016)
  11. Model validation‏‎ (11:29, 27 June 2016)
  12. Linear regression‏‎ (11:30, 27 June 2016)
  13. Predicting future outcomes‏‎ (11:34, 27 June 2016)
  14. Evaluating model performance‏‎ (11:35, 27 June 2016)
  15. Receiver operating characteristics curve‏‎ (11:37, 27 June 2016)
  16. Summary of model performance metrics‏‎ (11:38, 27 June 2016)
  17. Output data storage‏‎ (11:40, 27 June 2016)
  18. Output data naming conventions‏‎ (11:42, 27 June 2016)
  19. Presentation format‏‎ (11:43, 27 June 2016)
  20. Input data storage‏‎ (11:44, 27 June 2016)
  21. Nomenclature of input variables‏‎ (11:46, 27 June 2016)
  22. Formatting and storage of intermediate results‏‎ (11:48, 27 June 2016)
  23. Revision control‏‎ (11:49, 27 June 2016)
  24. Code storage‏‎ (11:51, 27 June 2016)
  25. Code review‏‎ (11:52, 27 June 2016)
  26. Naming conventions‏‎ (11:53, 27 June 2016)
  27. Writing quality code‏‎ (11:54, 27 June 2016)
  28. R‏‎ (11:56, 27 June 2016)
  29. Testing and QA‏‎ (11:57, 27 June 2016)
  30. Comparing two datasets‏‎ (12:00, 27 June 2016)
  31. Appendix B. Sequence of steps for developing a logistic regression model in R‏‎ (12:05, 27 June 2016)
  32. Appendix E.1. Package - data manipulation‏‎ (12:10, 27 June 2016)
  33. Appendix E.2. Package - date arithmetic‏‎ (12:11, 27 June 2016)
  34. Appendix E.3. Package - math functions (re)defined‏‎ (12:13, 27 June 2016)
  35. Appendix E.4. Package - model performance descriptors and graphics‏‎ (12:14, 27 June 2016)
  36. Appendix E.5. Package - plotting utilities‏‎ (12:15, 27 June 2016)
  37. Appendix E.6. Package - statistical functions‏‎ (12:15, 27 June 2016)
  38. References‏‎ (12:16, 27 June 2016)
  39. Footnotes‏‎ (12:17, 27 June 2016)
  40. Regression‏‎ (13:16, 27 June 2016)
  41. Using logistic regression for classification problems‏‎ (13:18, 27 June 2016)
  42. Survival modeling‏‎ (13:20, 27 June 2016)
  43. Removing highly correlated variables‏‎ (13:22, 27 June 2016)
  44. Computing a univariate odds ratio‏‎ (13:23, 27 June 2016)
  45. Logistic regression‏‎ (13:26, 27 June 2016)
  46. Validation of temporal datasets‏‎ (13:27, 27 June 2016)
  47. Testing proportions‏‎ (13:30, 27 June 2016)
  48. Methodology‏‎ (13:41, 27 June 2016)
  49. Presentation of results‏‎ (13:42, 27 June 2016)
  50. Data storage‏‎ (13:43, 27 June 2016)

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