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pro vyhledávání: '"Greifer, Noah"'
The linear regression model is widely used in the biomedical and social sciences as well as in policy and business research to adjust for covariates and estimate the average effects of treatments. Behind every causal inference endeavor there is a hyp
Externí odkaz:
http://arxiv.org/abs/2303.08790
Autor:
Griffin, Beth Ann, Schuler, Megan S., Cefalu, Matt, Ayer, Lynsay, Godley, Mark, Greifer, Noah, Coffman, Donna L., McCaffrey, Daniel
Objective. To provide step-by-step guidance and STATA and R code for using propensity score (PS) weighting to estimate moderation effects. Research Design. Tutorial illustrating the key steps for estimating and testing moderation using observational
Externí odkaz:
http://arxiv.org/abs/2204.03345
Publikováno v:
In Social Science Research November 2024 124
Publikováno v:
Journal of the American Statistical Association, 2023
Studying causal effects of continuous treatments is important for gaining a deeper understanding of many interventions, policies, or medications, yet researchers are often left with observational studies for doing so. In the observational setting, co
Externí odkaz:
http://arxiv.org/abs/2107.07086
Autor:
Greifer, Noah, Stuart, Elizabeth A.
Matching and weighting methods for observational studies involve the choice of an estimand, the causal effect with reference to a specific target population. Commonly used estimands include the average treatment effect in the treated (ATT), the avera
Externí odkaz:
http://arxiv.org/abs/2106.10577
Autor:
Nguyen, Trang Quynh, Ogburn, Elizabeth L., Schmid, Ian, Sarker, Elizabeth B., Greifer, Noah, Koning, Ina M., Stuart, Elizabeth A.
Publikováno v:
Statistics Surveys. 2023. 17:1-41
This paper aims to provide practitioners of causal mediation analysis with a better understanding of estimation options. We take as inputs two familiar strategies (weighting and model-based prediction) and a simple way of combining them (weighted mod
Externí odkaz:
http://arxiv.org/abs/2102.06048
Balancing the distributions of the confounders across the exposure levels in an observational study through matching or weighting is an accepted method to control for confounding due to these variables when estimating the association between an expos
Externí odkaz:
http://arxiv.org/abs/2009.11772
Autor:
Carroll, Gerard, Solomon, Keisha T., Heil, Jessica, Saloner, Brendan, Stuart, Elizabeth A., Patel, Esita Y., Greifer, Noah, Salzman, Matthew, Murphy, Emily, Baston, Kaitlan, Haroz, Rachel
Publikováno v:
In Annals of Emergency Medicine February 2023 81(2):165-175
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