Propensity score calibration (PSC) can be used to adjust for unmeasured confounders using a cross-sectional validation study that lacks information on the disease outcome (Y), under a strong surrogacy assumption. Using directed acyclic graphs and path analysis, the authors developed a formula to predict the presence and magnitude of the bias of PSC in the simplest setting of a binary exposure (T) and 1 confounder (X) that are observed in the main study and 1 confounder (C) that is observed in the validation study only. PSC bias is predicted on the basis of parameters that can be estimated from the data and a single unidentifiable parameter, the relative risk (RR) associated with C (RRCY). The authors simulated 1,000 cohort studies each with...
In most observational studies, treatments or other "exposures" (in an epidemiologic sense) do not oc...
Treatment effects, especially when comparing two or more therapeutic alternatives as in comparative ...
Propensity score (PS) methods have been used extensively to adjust for confounding factors in the st...
Propensity score calibration (PSC) can be used to adjust for unmeasured confounders using a cross-se...
Propensity score calibration (PSC) can be used to adjust for unmeasured confounders using a cross-se...
Propensity score calibration (PSC) can be used to adjust for unmeasured confounders using a cross-se...
Confounding can be a major source of bias in nonexperimental research. The authors recently introduc...
Often, data on important confounders are not available in cohort studies. Sensitivity analyses based...
Often, data on important confounders are not available in cohort studies. Sensitivity analyses based...
There is an increasing interest in the use of propensity score (PS) methods for confounding control,...
In the medical literature, there has been an increased interest in evaluating association between ex...
In the medical literature, there has been an increased interest in evaluating association between ex...
PurposeTo investigate the ability of the propensity score to reduce confounding bias in the presence...
Treatment effects, especially when comparing two or more therapeutic alternatives as in comparative ...
Abbreviation: PSC, propensity score calibration. We appreciate the thoughtful commentary of Oakes an...
In most observational studies, treatments or other "exposures" (in an epidemiologic sense) do not oc...
Treatment effects, especially when comparing two or more therapeutic alternatives as in comparative ...
Propensity score (PS) methods have been used extensively to adjust for confounding factors in the st...
Propensity score calibration (PSC) can be used to adjust for unmeasured confounders using a cross-se...
Propensity score calibration (PSC) can be used to adjust for unmeasured confounders using a cross-se...
Propensity score calibration (PSC) can be used to adjust for unmeasured confounders using a cross-se...
Confounding can be a major source of bias in nonexperimental research. The authors recently introduc...
Often, data on important confounders are not available in cohort studies. Sensitivity analyses based...
Often, data on important confounders are not available in cohort studies. Sensitivity analyses based...
There is an increasing interest in the use of propensity score (PS) methods for confounding control,...
In the medical literature, there has been an increased interest in evaluating association between ex...
In the medical literature, there has been an increased interest in evaluating association between ex...
PurposeTo investigate the ability of the propensity score to reduce confounding bias in the presence...
Treatment effects, especially when comparing two or more therapeutic alternatives as in comparative ...
Abbreviation: PSC, propensity score calibration. We appreciate the thoughtful commentary of Oakes an...
In most observational studies, treatments or other "exposures" (in an epidemiologic sense) do not oc...
Treatment effects, especially when comparing two or more therapeutic alternatives as in comparative ...
Propensity score (PS) methods have been used extensively to adjust for confounding factors in the st...