Zobrazeno 1 - 10
of 1 435
pro vyhledávání: '"Edwards, P. K."'
Autor:
Shook-Sa, Bonnie E., Zivich, Paul N., Lee, Chanhwa, Xue, Keyi, Ross, Rachael K., Edwards, Jessie K., Stringer, Jeffrey S. A., Cole, Stephen R.
Doubly robust estimators have gained popularity in the field of causal inference due to their ability to provide consistent point estimates when either an outcome or exposure model is correctly specified. However, the influence function based varianc
Externí odkaz:
http://arxiv.org/abs/2404.16166
Patient care may be improved by recommending treatments based on patient characteristics when there is treatment effect heterogeneity. Recently, there has been a great deal of attention focused on the estimation of optimal treatment rules that maximi
Externí odkaz:
http://arxiv.org/abs/2401.03084
Autor:
Zivich, Paul N, Edwards, Jessie K, Shook-Sa, Bonnie E, Lofgren, Eric T, Lessler, Justin, Cole, Stephen R
Studies intended to estimate the effect of a treatment, like randomized trials, may not be sampled from the desired target population. To correct for this discrepancy, estimates can be transported to the target population. Methods for transporting be
Externí odkaz:
http://arxiv.org/abs/2311.09388
The Metropolis algorithm is a Markov chain Monte Carlo (MCMC) algorithm used to simulate from parameter distributions of interest, such as generalized linear model parameters. The "Metropolis step" is a keystone concept that underlies classical and m
Externí odkaz:
http://arxiv.org/abs/2306.16188
Iterated conditional expectation (ICE) g-computation is an estimation approach for addressing time-varying confounding for both longitudinal and time-to-event data. Unlike other g-computation implementations, ICE avoids the need to specify models for
Externí odkaz:
http://arxiv.org/abs/2306.10976
Autor:
Shook-Sa, Bonnie E., Zivich, Paul N., Rosin, Samuel P., Edwards, Jessie K., Adimora, Adaora A., Hudgens, Michael G., Cole, Stephen R.
While randomized controlled trials (RCTs) are critical for establishing the efficacy of new therapies, there are limitations regarding what comparisons can be made directly from trial data. RCTs are limited to a small number of comparator arms and of
Externí odkaz:
http://arxiv.org/abs/2305.00845
Autor:
Zivich, Paul N, Edwards, Jessie K, Lofgren, Eric T, Cole, Stephen R, Shook-Sa, Bonnie E, Lessler, Justin
Publikováno v:
Epidemiology, 35(1), 23-31 (2024)
When estimating an effect of an action with a randomized or observational study, that study is often not a random sample of the desired target population. Instead, estimates from that study can be transported to the target population. However, transp
Externí odkaz:
http://arxiv.org/abs/2303.01572
Autor:
Zivich, Paul N, Cole, Stephen R, Edwards, Jessie K, Shook-Sa, Bonnie E, Breskin, Alexander, Hudgens, Michael G
Comparisons of treatments, interventions, or exposures are of central interest in epidemiology, but direct comparisons are not always possible due to practical or ethical reasons. Here, we detail a fusion approach to compare treatments across studies
Externí odkaz:
http://arxiv.org/abs/2206.04445
M-estimation is a general statistical framework that simplifies estimation. Here, we introduce delicatessen, a Python library that automates the tedious calculations of M-estimation, and supports both built-in user-specified estimating equations. To
Externí odkaz:
http://arxiv.org/abs/2203.11300
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.