TY - JOUR
T1 - Competing time-to-event endpoints in cardiology trials
T2 - A simulation study to illustrate the importance of an adequate statistical analysis
AU - Rauch, Geraldine
AU - Kieser, Meinhard
AU - Ulrich, Sandra
AU - Doherty, Patrick
AU - Rauch, Bernhard
AU - Schneider, Steffen
AU - Riemer, Thomas
AU - Senges, Jochen
PY - 2014/1
Y1 - 2014/1
N2 - Clinical trials in cardiology commonly consider time-to-event endpoints that are often influenced by competing risks. In the presence of competing risks, standard survival analysis techniques, such as the Kaplan-Meier estimator, can yield seriously biased results. Although methods to account for competing risks are well known in the statistical literature, they are rarely applied in clinical trials.
AB - Clinical trials in cardiology commonly consider time-to-event endpoints that are often influenced by competing risks. In the presence of competing risks, standard survival analysis techniques, such as the Kaplan-Meier estimator, can yield seriously biased results. Although methods to account for competing risks are well known in the statistical literature, they are rarely applied in clinical trials.
U2 - 10.1177/2047487312460518
DO - 10.1177/2047487312460518
M3 - Article
C2 - 22964966
SN - 2047-4873
VL - 21
SP - 74
EP - 80
JO - European journal of preventive cardiology
JF - European journal of preventive cardiology
IS - 1
ER -