TY - JOUR
T1 - An alternative to the proportionate mortality ratio
AU - Miettinen, Olli S.
AU - Wang, Jung Der
PY - 1981/7
Y1 - 1981/7
N2 - The conditions that are generally considered to justify the use of the proportionate mortality ratio (PMR) to compare exposed and nonexposed populations also permit the computation of the ratio of mortality odds between the cause (of death) of interest and the "other" causes considered. This mortality odds ratio (MOR) comparing the exposed with the nonexposed equals the exposure odds ratio comparing deaths from the cause of interest with those from the auxiliary ("other") causes, and, in contrast to the PMR, it can be interpreted as the observed-to-expected ratio or the standardized mortality ratio on the assumption that the mortality rate for the auxiliary causes is unrelated to the exposure. Related to this, the MOR is free of the arbitrary element in the PMR, which is dependent on the size of the auxiliary-causes domain. These properties make the proposed measure superior to the PMR statistic. Consideration of the proposed statistic for "PMR data" also under scores the need to view "PMR studies" as case-referent studies, and this has important implications for the choice of the auxiliary causes (reference series).
AB - The conditions that are generally considered to justify the use of the proportionate mortality ratio (PMR) to compare exposed and nonexposed populations also permit the computation of the ratio of mortality odds between the cause (of death) of interest and the "other" causes considered. This mortality odds ratio (MOR) comparing the exposed with the nonexposed equals the exposure odds ratio comparing deaths from the cause of interest with those from the auxiliary ("other") causes, and, in contrast to the PMR, it can be interpreted as the observed-to-expected ratio or the standardized mortality ratio on the assumption that the mortality rate for the auxiliary causes is unrelated to the exposure. Related to this, the MOR is free of the arbitrary element in the PMR, which is dependent on the size of the auxiliary-causes domain. These properties make the proposed measure superior to the PMR statistic. Consideration of the proposed statistic for "PMR data" also under scores the need to view "PMR studies" as case-referent studies, and this has important implications for the choice of the auxiliary causes (reference series).
UR - https://www.scopus.com/pages/publications/0019511555
UR - https://www.scopus.com/pages/publications/0019511555#tab=citedBy
U2 - 10.1093/oxfordjournals.aje.a113161
DO - 10.1093/oxfordjournals.aje.a113161
M3 - Article
C2 - 7246522
AN - SCOPUS:0019511555
SN - 0002-9262
VL - 114
SP - 144
EP - 148
JO - American Journal of Epidemiology
JF - American Journal of Epidemiology
IS - 1
ER -