2011
DOI: 10.1002/ajim.20999
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Update of the NIOSH life table analysis system: A person-years analysis program for the windows computing environment

Abstract: LTAS.NET incorporates improvements that will facilitate more complex person-years analysis of occupational cohort data.

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Cited by 70 publications
(65 citation statements)
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“…Person-years at risk were counted beginning at separation from active duty and ending on death or December 31, 2009, whichever came first. The National Institute for Occupational Safety and Health Life Table Analysis System version 3.0.3, software was used to obtain standardized mortality ratios (SMRs) and 95% confidence intervals (CIs) for each cause-of-death category [23]. The SMR is the ratio of the observed deaths among veterans to the expected deaths calculated from the mortality rates for the US general population (referent population) adjusted for gender, race, age, and calendar period.…”
Section: Discussionmentioning
confidence: 99%
“…Person-years at risk were counted beginning at separation from active duty and ending on death or December 31, 2009, whichever came first. The National Institute for Occupational Safety and Health Life Table Analysis System version 3.0.3, software was used to obtain standardized mortality ratios (SMRs) and 95% confidence intervals (CIs) for each cause-of-death category [23]. The SMR is the ratio of the observed deaths among veterans to the expected deaths calculated from the mortality rates for the US general population (referent population) adjusted for gender, race, age, and calendar period.…”
Section: Discussionmentioning
confidence: 99%
“…11 Analyses used US male mortality rates (1960Ϫ2007) for 119 cause of death categories. 12 Mortality for 3 neurodegenerative causes of death was evaluated using updated custom rate files.…”
mentioning
confidence: 99%
“…The National Institute for Occupational Safety and Health (NIOSH) Life Table Analysis System (LTAS) mortality programme was used to calculate SMRs and 95% CIs for the cohort stratified by 5-year age groups and calendar year 22. Age-specific, race-specific and calendar year-specific mortality rates for US men were applied to the cohort's person-years distribution to calculate cause-specific expected numbers of deaths.…”
Section: Methodsmentioning
confidence: 99%