The sign of the bias of unmeasured confounding.
Unmeasured confounding variables are a common problem in drawing causal inferences in observational studies. A theorem is given which in certain circumstances allows the researcher to draw conclusions about the sign of the bias of unmeasured confounding. Specifically, it is possible to determine the sign of the bias when monotonicity relationships hold between the unmeasured confounding variable and the treatment, and between the unmeasured confounding variable and the outcome. Some discussion is given to the conditions under which the theorem applies and the strengths and limitations of using the theorem to assess the sign of the bias of unmeasured confounding.
VanderWeele
Tyler J
TJ
Department of Health Studies, University of Chicago, 5841 South Maryland Avenue, MC 2007, Chicago, Illinois 60637, U.S.A. email:vanderweele@uchicago.edu.
D000726:Androgen Antagonists / Q000009:adverse effects; D015982:Bias; D001699:Biometry / Q000379:methods*; D003627:Data Interpretation, Statistical; D050723:Fractures, Bone / Q000209:etiology; D006801:Humans; D008297:Male; D015233:Models, Statistical; D010024:Osteoporosis / Q000150:complications; D011471:Prostatic Neoplasms / Q000150:complications / Q000188:drug therapy; D016896:Treatment Outcome
D000726:Androgen Antagonists