Statistical Services

IOMLIFET: A spreadsheet system for life-table calculations for Health Impact Assessment

IOMLIFET is a spreadsheet system for life-table calculations in the context of health impact assessments. These can be used for predictions of the patterns of mortality and life expectancy ensuing from a change in mortality rates, from whatever source or planned intervention.

There are four separate ZIP files that can be downloaded free of charge:

  • IOMLIFET 2013 LIFE EXPECT ALL-CAUSE.ZIP contains a simple spreadsheet that takes mortality hazard rates and calculates remaining life expectancy from any achieved age, and gains or losses in years of life expectancy when the hazard rates are changed.                      

    Download IOMLIFET_2013_LIFE_EXPECT_ALL-CAUSE.ZIP here. (1.42 MB)

  • IOMLIFET 2013 LIFE EXPECT MULTI-CAUSE.ZIP contains a variant on the simple spreadsheet, which allows independent manipulation of mortality hazard rates for up to six separate causes of death.  It then recombines these and, as above, calculates remaining life expectancy from any achieved age, and gains or losses in years of life expectancy when the hazard rates are changed.

Each of the ZIP files contains a PDF copy of IOM Research Report TM/06/01, which describes the methodology and shows some examples, and a README guide to using the sheets. If you want to read more about what the spreadsheets do before downloading them, you can download these documents separately. 

Download IOM_TM0601.PDF here. (2.22 MB)

Download IOMLIFET_2013_Readme.pdf here. (269 KB)

These spreadsheets have been developed with funding from the UK Department of Health and Department of the Environment, Food and Rural Affairs, and are distributed free of charge. If you use them in your work, please give an acknowledgement, preferably by referencing the IOM Research Report TM/06/01.

We want these sheets to be useful and error-free. Please let me know if you spot any errors in the calculations, and I’ll fix the sheets.

Dr Brian Miller,
Principal Epidemiologist,
IOM
brian.miller@iom-world.org