Results 71 to 80 of about 486,560 (293)
Covariate adjusted nonparametric methods under propensity analysis
Frontiers in Applied Mathematics and StatisticsPropensity score is one of the most commonly used score functions in adjusting for covariates effect in statistical inference. It is important to understand the impact with propensity score in case some of the prespecified covariates are severely ...
Jiabu Ye, Dejian Lai
doaj +1 more source
Can nutritional label use influence body weight outcomes? [PDF]
Nutritional labeling has been of much interest to policy makers and health advocates due to rising obesity trends. So can nutritional label use really help reduce body weight outcomes?
Andreas Drichoutis +2 more
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Estimating the Causal Effects of Marketing Interventions Using Propensity Score Methodology
, 2006 Propensity score methods were proposed by Rosenbaum and Rubin [Biometrika 70 (1983) 41--55] as central tools to help assess the causal effects of interventions.
Rubin, Donald B., Waterman, Richard P.
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Molecular Oncology, EarlyView.This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris +10 more
wiley +1 more source
Generalized Propensity Score Matching with Multilevel Treatment Options
Journal of Health Economics and Outcomes Research, 2013 # Background Although conventional form of propensity score matching (PSM) is widely used in outcomes research field, its application on multilevel treatment is limited. # Objectives This article reviews PSM and illustrates their use when there are more
Onur Baser
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Molecular Oncology, EarlyView.Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee +8 more
wiley +1 more source
Propensity Score Matching with Limited Overlap [PDF]
In this article, we have demostrated the application of two newly proposed estimators which accounts for lack of overlap under propensity score matching on a case study involing the analysis of health expenditure data for the United States.
Onur Baser
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Tumor mutational burden as a determinant of metastatic dissemination patterns
Molecular Oncology, EarlyView.This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal +4 more
wiley +1 more source
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score [PDF]
We are interested in estimating the average effect of a binary treatment on a scalar outcome. If assignment to the treatment is independent of the potential outcomes given pretreatment variables, biases associated with simple treatment-control average ...
Geert Ridder +2 more
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What is the Value of Knowing the Propensity Score for Estimating Average Treatment Effects? [PDF]
, 2002 Propensity score matching is widely used in treatment evaluation to estimate average treatment effects. Nevertheless, the role of the propensity score is still controversial.
Frölich, Markus
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