Causal inference methods for small non-randomized studies: Methods and an application in COVID-19

Causal inference in studies and medical articles

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Exploring New Statistical Methods for Causal Inference in Longitudinal Studies

This study proposes a novel method to provide unbiased effect estimates in the presence of time-dependent confounding and applies the method in an existing merged multi-source nursing home dataset to examine the effect of antipsychotic medication use on all cause mortality. Using standard methods, effect estimates of time-varying exposures from observational data will be biased in the presence ...

Matching Methods for Causal Inference

islanding 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 ...

Matching 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 ...