منابع مشابه
Adjusting for Confounding with Text Matching∗
We identify situations in which conditioning on text can address confounding in observational studies. We argue that a matching approach is particularly well-suited to this task, but existing matching methods are ill-equipped to handle high-dimensional text data. Our proposed solution is to estimate a low-dimensional summary of the text covariates and condition on this summary via matching. We ...
متن کاملAdjusting for Time-Varying Confounding in Survival Analysis
Adjusting for Time-Varying Confounding in Survival Analysis In this paper we illustrate how directly including endogenous time-varying confounders in the model of the effect of an exposure on a response can lead to bias in discrete time survival analysis. An alternative to this method is Hernán, Brumback and Robins’ (1999) use of sample weights to adjust for endogenous time-varying confounding....
متن کاملOn the causal interpretation of race in regressions adjusting for confounding and mediating variables.
We consider several possible interpretations of the "effect of race" when regressions are run with race as an exposure variable, controlling also for various confounding and mediating variables. When adjustment is made for socioeconomic status early in a person's life, we discuss under what contexts the regression coefficients for race can be interpreted as corresponding to the extent to which ...
متن کاملConfounding by socioeconomic position remains after adjusting for neighbourhood deprivation: an example using smoking and mortality.
A rea based measures of socioeconomic deprivation are often used as proxies for personal socioeconomic position. But sometimes people of high socioeconomic position live in deprived areas, and vice versa. 2 This means that adjusting for area deprivation (only) may leave residual confounding for any exposure-outcome association in which socioeconomic position is strongly implicated. The purpose ...
متن کاملAdjusting for Confounding in Early Postlaunch Settings: Going Beyond Logistic Regression Models.
BACKGROUND Postlaunch data on medical treatments can be analyzed to explore adverse events or relative effectiveness in real-life settings. These analyses are often complicated by the number of potential confounders and the possibility of model misspecification. METHODS We conducted a simulation study to compare the performance of logistic regression, propensity score, disease risk score, and...
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ژورنال
عنوان ژورنال: The Canadian Journal of Psychiatry
سال: 2016
ISSN: 0706-7437,1497-0015
DOI: 10.1177/0706743716660710