Asymmetrical sex reversal: Does the type of heterogamety predict propensity for sex reversal?
Sign Up to like & getrecommendations! Published in 2022 at "BioEssays"
DOI: 10.1002/bies.202200039
Abstract: Sex reversal, a mismatch between phenotypic and genetic sex, can be induced by chemical and thermal insults in ectotherms. Therefore, climate change and environmental pollution may increase sex‐reversal frequency in wild populations, with wide‐ranging implications… read more here.
Keywords: propensity; sex; sex reversal; reversal asymmetrical ... See more keywords
Hydrogen sulfide concentration in the milieu of the hydrated alanine dipeptide determines its polyproline II-beta propensity: Main chain contribution to the energetic origin of the formation of amyloid.
Sign Up to like & getrecommendations! Published in 2020 at "Biopolymers"
DOI: 10.1002/bip.23356
Abstract: In view of the observation that the concentration of hydrogen sulfide in brains with Alzheimer's disease (AD) is lower than that in normal brains and in line with our previous studies indicating that additional content… read more here.
Keywords: chain; alanine dipeptide; milieu; concentration ... See more keywords
Impact of an optical coherence tomography guided approach in acute coronary syndromes: A propensity matched analysis from the international FORMIDABLE‐CARDIOGROUP IV and USZ registry
Sign Up to like & getrecommendations! Published in 2017 at "Catheterization and Cardiovascular Interventions"
DOI: 10.1002/ccd.26880
Abstract: Aim. To determine the potential clinical impact of OCT (Optical Coherence Tomography) during primary percutaneous coronary intervention in patients presenting with ACS (Acute Coronary Syndrome). Methods and Results. FORMIDABLE is a multicentre retrospective registry enrolling… read more here.
Keywords: optical coherence; guided approach; approach; coherence tomography ... See more keywords
Managers, don't neglect your prospective employees to achieve your sustainability development goals
Sign Up to like & getrecommendations! Published in 2024 at "Corporate Social Responsibility and Environmental Management"
DOI: 10.1002/csr.2889
Abstract: Instances of corporate social irresponsibility (CSI) in popular media, coupled with its negative consequences behooves a systematic assessment of the consequences of CSI. This study responds to calls for such research. Specifically, drawing on attribution… read more here.
Keywords: propensity; managers neglect; csi nwom; prospective employees ... See more keywords
High‐dimensional propensity scores for empirical covariate selection in secondary database studies: Planning, implementation, and reporting
Sign Up to like & getrecommendations! Published in 2022 at "Pharmacoepidemiology and Drug Safety"
DOI: 10.1002/pds.5566
Abstract: Real‐world evidence used for regulatory, payer, and clinical decision‐making requires principled epidemiology in design and analysis, applying methods to minimize confounding given the lack of randomization. One technique to deal with potential confounding is propensity… read more here.
Keywords: covariate selection; propensity; dimensional propensity; high dimensional ... See more keywords
Propensity score weighted multi‐source exchangeability models for incorporating external control data in randomized clinical trials
Sign Up to like & getrecommendations! Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10158
Abstract: Among clinical trialists, there has been a growing interest in using external data to improve decision‐making and accelerate drug development in randomized clinical trials (RCTs). Here we propose a novel approach that combines the propensity… read more here.
Keywords: propensity; control; propensity score; clinical trials ... See more keywords
Nonparametric Estimation for Propensity Scores With Misclassified Treatments
Sign Up to like & getrecommendations! Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10306
Abstract: In the framework of causal inference, average treatment effect (ATE) is one of crucial concerns. To estimate it, the propensity score based estimation method and its variants have been widely adopted. However, most existing methods… read more here.
Keywords: binary treatments; propensity; nonparametric estimation; measurement error ... See more keywords
Assessing the performance of the generalized propensity score for estimating the effect of quantitative or continuous exposures on binary outcomes
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in Medicine"
DOI: 10.1002/sim.7615
Abstract: Propensity score methods are increasingly being used to estimate the effects of treatments and exposures when using observational data. The propensity score was initially developed for use with binary exposures. The generalized propensity score (GPS)… read more here.
Keywords: continuous exposures; generalized propensity; effect; propensity score ... See more keywords
Should a propensity score model be super? The utility of ensemble procedures for causal adjustment.
Sign Up to like & getrecommendations! Published in 2019 at "Statistics in medicine"
DOI: 10.1002/sim.8075
Abstract: In investigations of the effect of treatment on outcome, the propensity score is a tool to eliminate imbalance in the distribution of confounding variables between treatment groups. Recent work has suggested that Super Learner, an… read more here.
Keywords: regression; treatment; propensity score; super learner ... See more keywords
Using propensity scores to estimate effects of treatment initiation decisions: State of the science.
Sign Up to like & getrecommendations! Published in 2020 at "Statistics in medicine"
DOI: 10.1002/sim.8866
Abstract: Confounding can cause substantial bias in nonexperimental studies that aim to estimate causal effects. Propensity score methods allow researchers to reduce bias from measured confounding by summarizing the distributions of many measured confounders in a… read more here.
Keywords: estimate effects; scores estimate; treatment; using propensity ... See more keywords
Flexible propensity score estimation strategies for clustered data in observational studies
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9551
Abstract: Existing studies have suggested superior performance of nonparametric machine learning over logistic regression for propensity score estimation. However, it is unclear whether the advantages of nonparametric propensity score modeling are carried to settings where there… read more here.
Keywords: propensity score; cluster; propensity; score estimation ... See more keywords