Poisson Regression Analysis of Illness and Injury Surveillance Data

    E. L. Frome      J. P. Watkins      E. D. Ellis
                   Center for Epidemiologic Research
          Oak Ridge Institute for Science and Education, Oak Ridge, TN, USA

                     C. H. Strader
                   U. S. Department of Energy
                   Date Published: December 2012

The Department of Energy's Illness and Injury Surveillance Program(IISP) has the goal of identifying groups of workers who may be at increased risk for occupationally related injury and illness. The data used here are from the Worker Health Summary, 1995-2004,(WHS_IISP) Report 07-OEWH-1073 available at DOE Office of Health, Safety and Security, or from the DOE Information Bridge www.osti.gov/bridge/ search term ORISE-07-OEWH-1073.

The purpose of this website is to describe the computational details required to obtain some of the results in the technical report PRA_IISP (Item 1 below), and additional results not in the report. The R language and environment for statistical computing and graphics is used for all data analysis--- see Item 3 below.
  1. Poisson Regression Analysis of Illness and Injury Surveillance Data, Technical Report ORISE-09-OEWH-0176 (2012). The purpose of this report is to review the use of regression methods for the analysis of count data and to describe how theses methods can be used for the analysis of the IISP data.

  2. This folder [RTFMEM] contains the results of fitting the MEM to each of the six DOE sites in the WHS_IISP report that have contributed data to the IISP for all ten years considered in the report. A two page summary of age-adjusted 5 day absence rates is given for each of five health events for each DOE site, and for all sites combined.

  3. Information about and how to obtain the latest version of R with links to R documentation and at least 110 books describing R and how to use R is given [HERE---GET R]

  4. This link contains several R utility functions and a data frame (drtw.rda) with the IISP RTW data that were used to obtain numerical results in Item 1 and Item 2. The R functions and data frame are in the folder RFIISP. Download v5iisp.zip by right clicking on the link, and selecting "save target as"

  5. Unzip v5iisp.zip and move the folder RFIISP and the file readdata.txt into a folder where you will run R, e.g. "..\demopriisp".

  6. Run R in the folder "..\demopriisp".

  7. This step assumes that you have R installed and have some experince with R. If this is not the case refer to the information in Step 3 above. Open the file readdata.txt with a text editor and follow instruction in A or B

    1. Follow the directions on Lines 7 - 10 , OR
    2. copy the uncommented lines into the R window.
      A good text editor to use with R is NppToR with Notepad++ [ see NppToR_Rjournal_June_2010]

  8. If you follow 7-A you will see the text file PRA_IISPdemo.txt in the working directory "..\demopriisp".
    This is the same as Appendix 2 in the Tech Report in Item 1

Revised 17 Dec 2011 by E.L. Frome
Revised 20 July 2012 by E.L. Frome
Revised 3 Dec 2012 by E.L. Frome
Last Revised 29 Dec 2012 by E.L. Frome

Acknowledgements and Disclaimer

  • To Ed Frome's Home Page
  • Last Modified 25 Jan 2013 FromeEL@ornl.gov(touches: [an error occurred while processing this directive] )
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