Observational Studies: Matching or Regression?
نویسندگان
چکیده
منابع مشابه
Simultaneous Sensitivity Analysis for Observational Studies Using Full Matching or Matching with Multiple Controls
Using Full Matching or Matching with Multiple Controls Dylan Small, Joseph L. Gastwirth, Abba M. Krieger, and Paul R. Rosenbaum1 Summary: In a matched observational study, a sensitivity analysis asks how the conclusions of the study would change if the matching had failed to adjust for an unobserved covariate with particular attributes. A simultaneoussensitivity analysis characterizes the uno...
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MOTIVATION We address the problem of identifying differentially expressed genes between two conditions in the scenario where the data arise from an observational study, in which confounding factors are likely to be present. RESULTS We suggest to use matching methods to balance two groups of observed cases on measured covariates, and to identify differentially expressed genes using a test suit...
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Thistlethwaite and Campbell (1960) proposed to use a “regression-discontinuity analysis” in settings where exposure to a treatment or intervention is determined by an observable score and a fixed cutoff. The type of setting they described, now widely known as the regression discontinuity (RD) design, is one where units receive a score, and a binary treatment is assigned according to a very spec...
متن کاملMatching with Propensity Scores to Reduce Bias in Observational Studies
In observational studies subjects are not randomly assigned to treatment and control groups. Therefore, both groups can be significantly different from each other and their differences after applying a treatment cannot be attributed to the treatment effect. Propensity scores methods offer a way to balance groups by matching treatment and control units based on a set of covariates. This paper ex...
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ژورنال
عنوان ژورنال: Biology of Blood and Marrow Transplantation
سال: 2016
ISSN: 1083-8791
DOI: 10.1016/j.bbmt.2015.12.005