Results 101 to 110 of about 155,620 (242)
IJMPR Didactic Paper: Weighting for Causal Inference in Mental Health Research
International Journal of Methods in Psychiatric ResearchObjective Inverse probability weighting is a fundamental and general methodology for estimating the causal effects of exposures and interventions, but standard approaches to constructing such weights are often suboptimal.
Eric R. Cohn, José R. Zubizarreta
doaj +1 more source
Advanced Materials, EarlyView.This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Advanced Materials, EarlyView.A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho +3 more
wiley +1 more source
Which Optimal Design For LLDAs? [PDF]
Lottery-linked deposit accounts are financial assets that provide an interest rate determined by a lottery. The aim of this study is to determine the optimal design of these financial assets (under cumulative prospect theory (CPT) framework).
Marie Pfiffelmann
core
Correlated Charge Transport in an Organic Coulomb Glass
Advanced Materials, EarlyView.ABSTRACT Advances in the development of organic field‐effect transistors (OFETs), electrically gated organic semiconductors (EGOFETs), and organic electrochemical transistors (OECTs) allow for the operation of these devices at very high charge‐carrier densities, where Coulomb interactions between carriers can be expected to become significant.
Magdalena Sophie Dörfler +3 more
wiley +1 more source
How to Control for Many Covariates? Reliable Estimators Based on the Propensity Score [PDF]
We investigate the finite sample properties of a large number of estimators for the average treatment effect on the treated that are suitable when adjustment for observable covariates is required, like inverse probability weighting, kernel and other ...
Huber, Martin +2 more
core
Estimating spatially varying health effects in app-based citizen science research
, 2020 Wildland fire smoke exposures present an increasingly severe threat to public health, and thus there is a growing need for studying the effects of protective behaviors on improving health.
Rappold, Ana G. +3 more
core
Bayesian Nonparametric Weighted Sampling Inference
, 2015 It has historically been a challenge to perform Bayesian inference in a design-based survey context. The present paper develops a Bayesian model for sampling inference in the presence of inverse-probability weights.
Gelman, Andrew +2 more
core +1 more source
Stabilized Inverse Probability Weighting via Isotonic Calibration
Accepted to CLeaR conference (2025). Companion paper: Automatic doubly robust inference for linear functionals via calibrated debiased machine learning, arXiv:2411 ...
van der Laan, Lars +3 more
openaire +2 more sources
Advanced Materials, EarlyView.Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou +5 more
wiley +1 more source