Results 51 to 60 of about 23,655,214 (287)
Harmonization of large-scale, heterogeneous individual participant adverse event data from randomized trials of statin therapy [PDF]
Background: Meta-analyses of individual-level data from randomized trials are often required to detect clinically worthwhile effects. The Cholesterol Treatment Trialists’ Collaboration, which includes data from numerous large long-term statin trials ...
Cholesterol Treatment Trialists’ Collaboration, +2 more
core +1 more source
Nonparametric Tests for Treatment Effect Heterogeneity [PDF]
A large part of the recent literature on program evaluation has focused on estimation of the average effect of the treatment under assumptions of unconfoundedness or ignorability following the seminal work by Rubin (1974) and Rosenbaum and Rubin (1983 ...
Richard K. Crump +3 more
core +2 more sources
A Method for Measuring Treatment Effects on the Treated without Randomization
This paper contributes to the literature on the estimation of causal effects by providing an analytical formula for individual specific treatment effects and an empirical methodology that allows us to estimate these effects.
P.A.V.B. Swamy +6 more
doaj +1 more source
ABSTRACT Background Numerous international studies have reported declines in new cancer diagnoses, delayed diagnoses and disruptions in cancer treatment following the implementation of COVID‐19 pandemic public health measures, raising concerns that these effects may ultimately contribute to increased cancer mortality.
Friederike Erdmann +8 more
wiley +1 more source
In this study, the finite element model (FEM) of the CFG pile composite foundation underlayered filling of the high-fill embankments was established by numerical simulation to analyze the treatment effect and influencing factors of CFG pile composite ...
Yanjun Liu +7 more
doaj +1 more source
IntroductionMachine learning (ML) methods are promising and scalable alternatives for propensity score (PS) estimation, but their comparative performance in disease risk score (DRS) estimation remains unexplored.MethodsWe used real-world data comparing ...
Yuchen Guo +6 more
doaj +1 more source
Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia
ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari +5 more
wiley +1 more source
Effect of sintering temperature and heat treatment on electrical properties of indium oxide based ceramics [PDF]
Indium oxide based ceramics with bismuth oxide addition were sintered in air in the temperature range 800-1300 ºC. Current-voltage characteristics of In2O3-Bi2O3 ceramics sintered at different temperatures are weakly nonlinear.
Bulpett, R +5 more
core +4 more sources
Multiple treatment effect estimation for business analytics using observational data
To correctly evaluate the effects of treatments, conducting randomized controlled trials (RCTs) is a reasonable approach. However, because it is generally difficult to implement RCTs for all treatments, methods to estimate the treatment effects using ...
Yuki Tsuboi +3 more
doaj +1 more source
model4you: An R Package for Personalised Treatment Effect Estimation
Typical models estimating treatment effects assume that the treatment effect is the same for all individuals. Model-based recursive partitioning allows to relax this assumption and to estimate stratified treatment effects (model-based trees) or even ...
Heidi Seibold +2 more
doaj +1 more source

