Propensity score-based methods for causal inference in observational studies with non-binary treatments
نویسندگان
چکیده
منابع مشابه
Propensity Score Methods for Causal Inference with the PSMATCH Procedure
In a randomized study, subjects are randomly assigned to either a treated group or a control group. Random assignment ensures that the distribution of the covariates is the same in both groups and that the treatment effect can be estimated by directly comparing the outcomes for the subjects in the two groups. In contrast, subjects in an observational study are not randomly assigned. In order to...
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A major limitation of making inference about treatment effect based on observational data from a non-randomized study designs is the treatment selection bias, in which the baseline characteristics of population under one treatment could dramatically differ from the other one. If not handle properly, such sources of heterogeneity will introduce confounding effect into causaleffect relationship a...
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Randomization of treatment assignment in experiments generates treatment groups with approximately balanced baseline covariates. However, in observational studies, where treatment assignment is not random, patients in the active treatment and control groups often differ on crucial covariates that are related to outcomes. These covariate imbalances can lead to biased treatment effect estimates. ...
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Since the seminal introduction of the propensity score by Rosenbaum and Rubin, propensity-score-based (PS-based) methods have been widely used for drawing causal inferences in the behavioral and social sciences. However, the propensity score approach depends on the ignorability assumption: there are no unobserved confounders once observed covariates are taken into account. For situations where ...
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This paper considers causal inference and sample selection bias in nonexperimental settings in which (i) few units in the nonexperimental comparison group are comparable to the treatment units, and (ii) selecting a subset of comparison units similar to the treatment units is difficult because units must be compared across a high-dimensional set of pretreatment characteristics. We discuss the us...
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ژورنال
عنوان ژورنال: Statistical Methods in Medical Research
سال: 2020
ISSN: 0962-2802,1477-0334
DOI: 10.1177/0962280219888745