Results 51 to 60 of about 1,615,733 (299)
MODE: Minimax Optimal Deterministic Experiments for Causal Inference in the Presence of Covariates
Data-driven decision-making has become crucial across various domains. Randomization and re-randomization are standard techniques employed in controlled experiments to estimate causal effects in the presence of numerous pre-treatment covariates.
Shaohua Xu, Songnan Liu, Yongdao Zhou
doaj +1 more source
Selection bias is a fundamental reason why the estimation of treatment effects in observational studies is not as straightforward as in well-designed experiments.
Lateef Amusa +2 more
doaj +1 more source
Covariate Balance for public land.
Covariate Balance for public land.
Danisa E. Moya (2155447) +2 more
core +1 more source
Covariate balance between in the pregnant and non-pregnant women groups.
Covariate balance between in the pregnant and non-pregnant women groups.
Monique Gainey (10285070) +8 more
core +1 more source
Covariate balance before and after matching.
Covariate balance before and after matching.
Jin-Won Noh (565493) +4 more
core +1 more source
Pre- and post-covariate balance among CTO and open cohorts after entropy balancing.
Pre- and post-covariate balance among CTO and open cohorts after entropy balancing.
Aimal Khan (4372159) +8 more
core +1 more source
ABSTRACT Background Adult survivors of childhood acute lymphoblastic leukemia (ALL) are at risk of reduced exercise capacity, decreased physical activity levels, persistent fatigue, and neurocognitive deficits. The aim was to investigate exercise capacity and physical activity levels of adult survivors of childhood ALL and their associations with ...
Laura Jess +5 more
wiley +1 more source
Objective To explore methodological challenges when using real-world evidence (RWE) to estimate comparative-effectiveness in the context of Health Technology Assessment of direct oral anticoagulants (DOACs) in Scotland.
Giorgio Ciminata +5 more
doaj +3 more sources
In the context of clinical trials for comparing two treatments, a new class of covariate adjusted response adaptive procedures is developed to achieve a balance between clinical optimality and inferential precision.
Rahul Bhattacharya, Uttam Bandyopadhyay
doaj +1 more source
Pre- and post-covariate balance among MIS and CTO cohorts after entropy balancing.
Pre- and post-covariate balance among MIS and CTO cohorts after entropy balancing.
Aimal Khan (4372159) +8 more
core +1 more source

