Results 41 to 50 of about 206 (106)

Estimation of time-varying treatment effects using marginal structural models dependent on partial treatment history

Journal of Causal Inference
Inverse probability (IP) weighting of marginal structural models (MSMs) can provide consistent estimators of time-varying treatment effects under correct model specifications and identifiability assumptions, even in the presence of time-varying ...
Seya Nodoka, Taguri Masataka, Ishii Takeo   +2 more
doaj   +1 more source

Bounding causal effects with an unknown mixture of informative and non-informative missingness

Journal of Causal Inference
In experimental and observational data settings, researchers often have limited knowledge of the reasons for missing outcomes. To address this uncertainty, we propose bounds on causal effects for missing outcomes, accommodating the scenario where ...
Rubinstein Max, Agniel Denis, Han Larry, Horvitz-Lennon Marcela, Normand Sharon-Lise   +4 more
doaj   +1 more source

Variable selection for single-index varying-coefficients models with applications to synergistic G × E interactions. [PDF]

Electron J Stat, 2023
Guan S, Zhao M, Cui Y.
europepmc   +1 more source

Next-Generation Sequencing Data-Based Association Testing of a Group of Genetic Markers for Complex Responses Using a Generalized Linear Model Framework. [PDF]

Mathematics (Basel), 2023
Xu Z, Yan S, Wu C, Duan Q, Chen S, Li Y.
europepmc   +1 more source

Time fused coefficient SIR model with application to COVID-19 epidemic in the United States. [PDF]

J Appl Stat, 2023
Yang HC, Xue Y, Pan Y, Liu Q, Hu G.
europepmc   +1 more source

An improved epidemiological-unscented Kalman filter (hybrid SEIHCRDV-UKF) model for the prediction of COVID-19. Application on real-time data. [PDF]

Chaos Solitons Fractals, 2023
Papageorgiou VE, Tsaklidis G.
europepmc   +1 more source

Transfer Learning in Genome-Wide Association Studies with Knockoffs. [PDF]

Sankhya B (2008), 2022
Li S, Ren Z, Sabatti C, Sesia M.
europepmc   +1 more source

The modeling and analysis of the COVID-19 pandemic with vaccination and treatment control: a case study of Maharashtra, Delhi, Uttarakhand, Sikkim, and Russia in the light of pharmaceutical and non-pharmaceutical approaches. [PDF]

Eur Phys J Spec Top, 2022
Rana PS, Sharma N.
europepmc   +1 more source

Misspecification of a binary dependent variable in the logistic model controlling for the repeated longitudinal measures. [PDF]

J Appl Stat, 2023
Wang CC, Hwang YT, Chou CC, Lee HL.
europepmc   +1 more source

A note on two novel easy-to-interpret feature effect measures for partial dependence plots in a classification setting. [PDF]

J Appl Stat
Rosenblad AK.
europepmc   +1 more source