TY - JOUR
JF - irje
JO - irje
VL - 13
IS - 1
PY - 2017
Y1 - 2017/6/01
TI - The Bias of Standard Methods in Estimating Causal Effect
TT - تورش روشهای آنالیز استاندارد در برآورد اثرات علیتی
N2 - Standard methods for estimating exposure effects in longitudinal studies will result in biased estimates of the exposure effect in the presence of time-dependent confounders affected by past exposure. In the present review article, we first described the assumptions required for estimating the causal effect in longitudinal studies and their structure regarding various types of exposure and confounders; then, we explained the bias of standard methods in estimating the causal effect. Two types of bias, i.e. over-adjustment bias and selection bias, occur in estimating the effect of time-varying exposure in the presence of time-dependent confounders affected by previous exposure using standard regression analysis. Standard regression methods cannot sufficiently modify time-dependent confounders and estimate the total causal effect of the exposure.
SP - 75
EP - 81
AD -
KW - Causal effect
KW - Standard regression method
KW - Time-dependent confounding
UR - http://irje.tums.ac.ir/article-1-5693-en.html
ER -