منابع مشابه
Matching methods for observational microarray studies
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...
متن کاملislanding detection methods for microgrids
امروزه استفاده از منابع انرژی پراکنده کاربرد وسیعی یافته است . اگر چه این منابع بسیاری از مشکلات شبکه را حل می کنند اما زیاد شدن آنها مسائل فراوانی برای سیستم قدرت به همراه دارد . استفاده از میکروشبکه راه حلی است که علاوه بر استفاده از مزایای منابع انرژی پراکنده برخی از مشکلات ایجاد شده توسط آنها را نیز منتفی می کند . همچنین میکروشبکه ها کیفیت برق و قابلیت اطمینان تامین انرژی مشترکان را افزایش ...
15 صفحه اولMatching methods for causal inference: Designing observational studies
Much research in the social sciences attempts to estimate the effect of some intervention or “treatment” such as a school dropout prevention program or television watching. However, particularly in the social sciences, it is generally not possible to randomly assign units to receive the treatment condition or the control condition, and thus the resulting data are observational, where we simply ...
متن کامل[Propensity score methods for creating covariate balance in observational studies].
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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ژورنال
عنوان ژورنال: Journal of the American College of Cardiology
سال: 2009
ISSN: 0735-1097
DOI: 10.1016/j.jacc.2009.04.010