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