Results 41 to 50 of about 20,519,205 (284)

Reasonably conduct the multiple Logistic regression analysis combined with the average treatment effect analysis

Sichuan jingshen weisheng, 2022
The purpose of the paper was to introduce how to reasonably carry out multiple Logistic regression analysis combined with the average treatment effect analysis.
Hu Chunyan, Hu Liangping
doaj   +1 more source

Average treatment effects on binary outcomes with stochastic covariates

British Journal of Mathematical and Statistical Psychology, 2023
Abstract When evaluating the effect of psychological treatments on a dichotomous outcome variable in a randomized controlled trial (RCT), covariate adjustment using logistic regression models is often applied. In the presence of covariates, average marginal effects (AMEs) are often preferred over odds ratios, as AMEs yield a clearer ...
Christoph Kiefer, Marcella Lydia Woud, Simon Edward Blackwell, Axel Mayer   +3 more
openaire   +3 more sources

Average treatment effect of promotion on the prices.

, 2022
Average treatment effect of promotion on the prices.
H. Holly Wang (12937155), Yu Jiang (234328), Guoyong Wu (12937158), Xiao Han (102316)   +3 more
core   +1 more source

Efficiency of Average Treatment Effect Estimation When the True Propensity Is Parametric

Econometrics, 2019
It is well known that efficient estimation of average treatment effects can be obtained by the method of inverse propensity score weighting, using the estimated propensity score, even when the true one is known.
Kyoo il Kim
doaj   +1 more source

From Sample Average Treatment Effect to Population Average Treatment Effect on the Treated: Combining Experimental with Observational Studies to Estimate Population Treatment Effects [PDF]

Journal of the Royal Statistical Society Series A: Statistics in Society, 2015
Summary Randomized controlled trials (RCTs) can provide unbiased estimates of sample average treatment effects. However, a common concern is that RCTs may fail to provide unbiased estimates of population average treatment effects. We derive the assumptions that are required to identify population average treatment effects from RCTs ...
Hartman, Erin, Grieve, Richard, Ramsahai, Roland, Sekhon, Jasjeet S.   +3 more
openaire   +2 more sources

Average treatment effect for the treated-on food security.

, 2022
Average treatment effect for the treated-on food security.
Aregash Getachew Hailu (11986377), Zerihun Yohannes Amare (11986380)   +1 more
core   +1 more source

Debiased Bayesian inference for average treatment effects

CoRR, 2019
NeurIPS ...
Ray, Kolyan, Szabo, Botond
openaire   +3 more sources

Propensity Score Matching: should we use it in designing observational studies?

BMC Medical Research Methodology
Background Propensity Score Matching (PSM) stands as a widely embraced method in comparative effectiveness research. PSM crafts matched datasets, mimicking some attributes of randomized designs, from observational data.
Fei Wan
doaj   +1 more source

Evaluating the Effect of Appropriate Complementary Feeding Practices on Child Growth in Malawi Using Cross-Sectional Data: An Application of Propensity Score Matching

Frontiers in Nutrition, 2021
Introduction: Appropriate complementary foods have been found to provide infants and young children with nutritional needs for their growth and development.
Halima S. Twabi, Samuel O. M. Manda, Samuel O. M. Manda, Dylan S. Small   +3 more
doaj   +1 more source

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld, Scott H. Maurer, Michelle D. Watkinson, John Nury, Elise Barberis, Molly C. Mack   +5 more
wiley   +1 more source