Bias when using propensity score methods to adjust for covariates that are not confounders
نویسندگان
چکیده
منابع مشابه
Using Administrative Databases for Research: Propensity Score Methods to Adjust for Bias
Health care and other programs collect large amounts of information in order to administer the program. A health insurance plan, for example, probably records every physician service, hospital and emergency department visit, and prescription medication—information that is collected in order to make payments to the various providers (hospitals, physicians, pharmacists). Although the data are col...
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Small area ecological studies are commonly used in epidemiology to assess the impact of area level risk factors on health outcomes when data are only available in an aggregated form. However, the resulting estimates are often biased due to unmeasured confounders, which typically are not available from the standard administrative registries used for these studies. Extra information on confounder...
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There is an increasing interest in the use of propensity score (PS) methods for confounding control, with generally three ways of estimating adjusted treatment effects in pharmacoepidemiological studies: 1) stratification on PS, 2) matching on PS and 3) using PS as a covariate. To assess bias and precision of different methods, we conducted simulations in three scenarios: 1) treatment had no ef...
متن کاملAn Application of Non-response Bias Reduction Using Propensity Score Methods
Normal distribution is widely used in many applications. The problem of testing whether observations come from a normal distribution has been studied extensively by many researchers. Our main goal in this article is to present a simple test procedure for testing multivariate normality.
متن کاملAn Application of Non-response Bias Reduction Using Propensity Score Methods
In many statistical studies some units do not respond to a number or all of the questions. This situation causes a problem called non-response. Bias and variance inflation are two important consequences of non-response in surveys. Although increasing the sample size can prevented variance inflation, but cannot necessary adjust for the non-response bias. Therefore a number of methods ...
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ژورنال
عنوان ژورنال: Value in Health
سال: 2014
ISSN: 1098-3015
DOI: 10.1016/j.jval.2014.03.1176