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1. (hist) ‎Appendix C. Sample code used to process the running COPD example ‎[15,870 bytes]
2. (hist) ‎Computing a univariate odds ratio ‎[13,193 bytes]
3. (hist) ‎Appendix D. Sample code used to implement the Cox proportional hazard model in the heart failure mortality example ‎[12,658 bytes]
4. (hist) ‎Regression ‎[9,757 bytes]
5. (hist) ‎References ‎[7,324 bytes]
6. (hist) ‎Using logistic regression for classification problems ‎[6,842 bytes]
7. (hist) ‎Survival modeling ‎[6,071 bytes]
8. (hist) ‎Logistic regression ‎[5,788 bytes]
9. (hist) ‎Removing highly correlated variables ‎[5,106 bytes]
10. (hist) ‎Preferred terminology ‎[5,046 bytes]
11. (hist) ‎Testing proportions ‎[4,640 bytes]
12. (hist) ‎Assessing model coefficients ‎[4,343 bytes]
13. (hist) ‎Including interaction terms in the model ‎[4,156 bytes]
14. (hist) ‎Introduction ‎[3,601 bytes]
15. (hist) ‎Computing a multivariate odds ratio ‎[3,214 bytes]
16. (hist) ‎Validation of temporal datasets ‎[2,681 bytes]
17. (hist) ‎R ‎[2,531 bytes]
18. (hist) ‎Transformation of variables ‎[2,503 bytes]
19. (hist) ‎Testing and QA ‎[2,198 bytes]
20. (hist) ‎Revision control ‎[2,130 bytes]
21. (hist) ‎Summary of model performance metrics ‎[1,988 bytes]
22. (hist) ‎Receiver operating characteristics curve ‎[1,988 bytes]
23. (hist) ‎General approach ‎[1,972 bytes]
24. (hist) ‎LEGAL NOTICE AND DISCLAIMER ‎[1,916 bytes]
25. (hist) ‎''LEGAL NOTICE AND DISCLAIMER'' ‎[1,916 bytes]
26. (hist) ‎Comparing two datasets ‎[1,441 bytes]
27. (hist) ‎Code review ‎[1,351 bytes]
28. (hist) ‎Presentation format ‎[1,333 bytes]
29. (hist) ‎Predicting future outcomes ‎[1,288 bytes]
30. (hist) ‎Predictive variable selection ‎[1,014 bytes]
31. (hist) ‎Outliers ‎[936 bytes]
32. (hist) ‎Output data storage ‎[906 bytes]
33. (hist) ‎Main Page ‎[882 bytes]
34. (hist) ‎Methodology ‎[839 bytes]
35. (hist) ‎Linear regression ‎[794 bytes]
36. (hist) ‎Code storage ‎[776 bytes]
37. (hist) ‎Input data storage ‎[751 bytes]
38. (hist) ‎Nomenclature of input variables ‎[703 bytes]
39. (hist) ‎Formatting and storage of intermediate results ‎[596 bytes]
40. (hist) ‎Data scrubbing ‎[562 bytes]
41. (hist) ‎Appendix B. Sequence of steps for developing a logistic regression model in R ‎[452 bytes]
42. (hist) ‎Abstract ‎[444 bytes]
43. (hist) ‎Model validation ‎[429 bytes]
44. (hist) ‎Appendix E. R package manuals ‎[364 bytes]
45. (hist) ‎Evaluating model performance ‎[346 bytes]
46. (hist) ‎Writing quality code ‎[341 bytes]
47. (hist) ‎Output data naming conventions ‎[289 bytes]
48. (hist) ‎Naming conventions ‎[267 bytes]
49. (hist) ‎Coding practices ‎[188 bytes]
50. (hist) ‎Data storage ‎[133 bytes]

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