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Revision as of 13:41, 27 June 2016


Analytical Standards for Regression-based Predictive Analytics : Methodologies, Naming Conventions and Coding Practices

cover

LEGAL NOTICE AND DISCLAIMER

Abstract

Introduction

Preferred terminology

Methodology

Presentation of results

Output data storage

Output data naming conventions

Presentation format

Data storage

Input data storage

Nomenclature of input variables

Formatting and storage of intermediate results

Coding practices

Revision control

Code storage

Code review

Naming conventions

Writing quality code

R

Testing and QA

Appendix A. Additional tools for data analysis

Comparing two datasets

Testing proportions

Appendix B. Sequence of steps for developing a logistic regression model in R

Appendix C. Sample code used to process the running COPD example

Appendix D. Sample code used to implement the Cox proportional hazard model in the heart failure mortality example

Appendix E. R package manuals

Appendix E.1. Package - data manipulation

Appendix E.2. Package - date arithmetic

Appendix E.3. Package - math functions (re)defined

Appendix E.4. Package - model performance descriptors and graphics

Appendix E.5. Package - plotting utilities

Appendix E.6. Package - statistical functions

References

Footnotes