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Seminar Preparation Resources

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The seminar instructors have provided the following suggested preparation resources and reading list for participants planning to attend the SOA’s Health Predictive Analytics Seminar:

  1. Before the seminar, become familiar with R. 
  2. Very useful sources including instructions for downloading R and using packages:
    http://opensourcesoftware.casact.org/introduction-to-r
    http://www.statmethods.net/
    http://www.ats.ucla.edu/stat/r/

    Useful books:

    R in Action (Kabacoff). Published by Manning.  www.manning.com
    R Cookbook (Teetor). Published by O’Reilly www.oreilly.com
    Jed Frees’s book on predictive modeling applications:
    http://instruction.bus.wisc.edu/jfrees/jfreesbooks/PredictiveModelingVol1/index.htm

  3. Also refresh your memory of basic statistics using any text of your choice. Here is a free basic stats text: https://www.openintro.org/stat/textbook.php
  4. Introductory text on health data and some applications:
    Risk Adjustment and Predictive Modeling (2nd Ed.) (Duncan) Actex Publications  www.actexmadriver.com
  5. There are several good texts on survival modeling.  Here is one suggestion: Modeling Survival Data in Medical Research (Collett; 2nd ed.) Chapman & Hall/CRC
  6. Introductory Time series in R: https://a-little-book-of-r-for-time-series.readthedocs.io/en/latest/
  7. Popular machine learning free text in R with little algebra: http://www-bcf.usc.edu/~gareth/ISL/
  8.  Other: https://www.slideshare.net/RevolutionAnalytics/actuarial-analytics-in-r

Additional resources and materials will be provided to seminar registrants.