Cargando…
G-computation of average treatment effects on the treated and the untreated
BACKGROUND: Average treatment effects on the treated (ATT) and the untreated (ATU) are useful when there is interest in: the evaluation of the effects of treatments or interventions on those who received them, the presence of treatment heterogeneity, or the projection of potential outcomes in a targ...
Autores principales: | Wang, Aolin, Nianogo, Roch A., Arah, Onyebuchi A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5223318/ https://www.ncbi.nlm.nih.gov/pubmed/28068905 http://dx.doi.org/10.1186/s12874-016-0282-4 |
Ejemplares similares
-
Forecasting Obesity and Type 2 Diabetes Incidence and Burden: The ViLA-Obesity Simulation Model
por: Nianogo, Roch A., et al.
Publicado: (2022) -
Development and validation of a prediction equation for body fat percentage from measured BMI: a supervised machine learning approach
por: Xu, Shiming, et al.
Publicado: (2023) -
Associations between self-perception of weight, food choice intentions, and consumer response to calorie information: a retrospective investigation of public health center clients in Los Angeles County before the implementation of menu-labeling regulation
por: Nianogo, Roch A., et al.
Publicado: (2016) -
The impact of human development on individual health: a causal mediation analysis examining pathways through education and body mass index
por: Wang, Aolin, et al.
Publicado: (2017) -
Body Mass Index and Poor Self-Rated Health in 49 Low-Income and Middle-Income Countries, By Sex, 2002–2004
por: Wang, Aolin, et al.
Publicado: (2015)