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A comparison of two methods of estimating propensity scores after multiple imputation
, 2011 In many observational studies, analysts estimate treatment effects using propensity scores, e.g., by matching or sub classifying on the scores. When some values of the covariates are missing, analysts can use multiple imputation to fill in the missing ...
Reiter, Jerome P. +4 more
core +3 more sources
Propensity Score Weighting for Causal Inference with Clustered Data
Journal of Causal Inference, 2018 Propensity score weighting is a tool for causal inference to adjust for measured confounders in observational studies. In practice, data often present complex structures, such as clustering, which make propensity score modeling and estimation challenging.
Yang Shu
doaj +1 more source
Relationship between the Geriatric Nutrition Risk Index and the Prognosis of Severe Coronavirus Disease 2019 in Korea [PDF]
Tuberculosis and Respiratory DiseasesBackground Malnutrition exacerbates the prognosis of numerous diseases; however, its specific impact on severe coronavirus disease 2019 (COVID-19) outcomes remains insufficiently explored. Methods This multicenter study in Korea evaluated the nutritional
Hye Ju Yeo +8 more
doaj +1 more source
Platelets, 2022 While the role of platelets in cardiovascular diseases among the general population has been widely reported, evidence is inconsistent regarding the association between platelet indices with hypertension in pregnant women.
Shanshan Lin +8 more
doaj +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
Evaluating Continuous Training Programs Using the Generalized Propensity Score [PDF]
This paper assesses the dynamics of treatment effects arising from variation in the duration of training. We use German administrative data that have the extraordinary feature that the amount of treatment varies continuously from 10 days to 395 days (i.e.
Jochen Kluve +3 more
core +2 more sources
An Adjustment of Survey Data Using Propensity Score Weighting
Kodo Keiryogaku (The Japanese Journal of Behaviormetrics), 2007 This study proposes the adoption of a neural network as an alternative to logistic regression analysis, which is conventionally used to estimate the propensity score (Rosenbaum & Rubin, 1983). Moreover, covariates that are frequently obscured are presented.Considering the response pattern to a mail survey by random sampling as a criterion, we examined ...
Hideki TOYODA +3 more
openaire +3 more sources
Frontiers in Cardiovascular MedicineBackgroundPatients who underwent surgical repair of supravalvular aortic stenosis (SVAS) are at high risk for postoperative major adverse cardiovascular events (MACE).
Simeng Zhang +9 more
doaj +1 more source
BMC Medical Research Methodology, 2017 Background Double-adjustment can be used to remove confounding if imbalance exists after propensity score (PS) matching. However, it is not always possible to include all covariates in adjustment.
Tri-Long Nguyen +6 more
doaj +1 more source
Outcome-adjusted balance measure for generalized propensity score model selection
Journal of Statistical Planning and Inference, 2022 In this article, we propose the outcome-adjusted balance measure to perform model selection for the generalized propensity score (GPS), which serves as an essential component in estimation of the pairwise average treatment effects (ATEs) in observational studies with more than two treatment levels. The primary goal of the balance measure is to identify
Zhao, Honghe, Yang, Shu
openaire +2 more sources