Calculating expected mortality
Publikation: Bidrag til tidsskrift › Kommentar/debat › Forskning › fagfællebedømt
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Calculating expected mortality. / Keiding, Niels; Væth, Michael.
I: Statistics in Medicine, Bind 5, Nr. 4, 07.1986, s. 327-334.Publikation: Bidrag til tidsskrift › Kommentar/debat › Forskning › fagfællebedømt
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TY - JOUR
T1 - Calculating expected mortality
AU - Keiding, Niels
AU - Væth, Michael
PY - 1986/7
Y1 - 1986/7
N2 - The widely used ‘person‐years method’ of calculating expected mortality has been discussed recently by several authors. In studies where mortality is either lower or higher than the standard mortality of some reference population, the use of exposure to death as an estimator of the expected number of deaths will generally lead to bias, always exaggerating the difference between study and standard mortality. This bias is examined in a proportional hazards model. The recent suggestion by Hartz et al.1 of calculating the mortalities of individuals during their ‘potential follow‐up time’ is claimed to be only rarely feasible in practice.
AB - The widely used ‘person‐years method’ of calculating expected mortality has been discussed recently by several authors. In studies where mortality is either lower or higher than the standard mortality of some reference population, the use of exposure to death as an estimator of the expected number of deaths will generally lead to bias, always exaggerating the difference between study and standard mortality. This bias is examined in a proportional hazards model. The recent suggestion by Hartz et al.1 of calculating the mortalities of individuals during their ‘potential follow‐up time’ is claimed to be only rarely feasible in practice.
KW - Expected mortality
KW - Person‐years method
KW - Statistics in counting processes
UR - http://www.scopus.com/inward/record.url?scp=0022748991&partnerID=8YFLogxK
U2 - 10.1002/sim.4780050405
DO - 10.1002/sim.4780050405
M3 - Comment/debate
C2 - 3764224
AN - SCOPUS:0022748991
VL - 5
SP - 327
EP - 334
JO - Statistics in Medicine
JF - Statistics in Medicine
SN - 0277-6715
IS - 4
ER -
ID: 202374402