Results 111 to 120 of about 49,636 (297)

Inverse Probability Tilting for Moment Condition Models with Missing Data [PDF]

We propose a new inverse probability weighting (IPW) estimator for moment condition models with missing data. Our estimator is easy to implement and compares favorably with existing IPW estimators, including augmented inverse probability weighting (AIPW)
Daniel Egel, Cristine Campos de Xavier Pinto, Bryan S. Graham   +2 more
core  

Inverse Probability Weighting in Survival Analysis and Network Analysis

, 2023
Inverse probability weighting is a popular technique to accommodate selection bias due to non-random sampling and missing data. In the first chapter, we develop an inverse probability weighted estimator and an augmented inverse probability weighted ...
Li, Yukun
core   +1 more source

Time‐Resolved Magnetization Switching Dynamics Driven by Orbital Torques

Advanced Functional Materials, EarlyView.
Du et al. reveal nanosecond magnetization switching driven by orbital currents using time‐resolved Hall detection. The measurements separate domain nucleation from domain wall propagation and show that Joule heating strongly assists switching by lowering energy barriers.
Ao Du, Shilei Ding, Min‐Gu Kang, Marco Hoffmann, Pietro Gambardella   +4 more
wiley   +1 more source

IJMPR Didactic Paper: Weighting for Causal Inference in Mental Health Research

International Journal of Methods in Psychiatric Research
Objective 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

Comparative effectiveness and safety of low-dose and standard-dose apixaban after inverse probability of treatment weighting.

, 2022
Comparative effectiveness and safety of low-dose and standard-dose apixaban after inverse probability of treatment weighting.
Sylvie Perreault (3574211), Brian White-Guay (9507520), Marc Dorais (3467570), Aurélie Lenglet (138547), Alice Dragomir (669865), Robert Côté (10224343)   +5 more
core   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

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

Relative risk and adjusted SARs of COVID-19 secondary case using an inverse probability weighting in Pakistani household contacts.

, 2022
Relative risk and adjusted SARs of COVID-19 secondary case using an inverse probability weighting in Pakistani household contacts.
Asghar Khan (9377860), Ubaid Khan (12476186), Amjad Khan (4021970), Javed Muhammad (6558341), Anupam Sule (12421180), Khunsa Junaid (10886611), Ali Akram Khan (12476180), Kuldeep Dhama (3156801), Taimoor Akram Khan (12476183), Muhammad Hassan Mushtaq (11057041), Fatmee Waqar (12476189), Muhammad Akib Warraich (12476192), Ali A. Rabaan (11419169), Abdul Jabbar (810180), Saad Alhumaid (11419160), Abbas Al Mutair (12476195), Ali Akbar (9996839), Muhammad Fayaz Khan (12476198), Maha Al-Mozaini (11288562)   +18 more
core   +1 more source

Self‐Powered Flexible Triboelectric‐Gated Ion‐Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition

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, Seoyeon Park, Youngmin Lee, Sejoon Lee   +3 more
wiley   +1 more source

Health outcomes by educational attainment, structural marginal model odds ratios using inverse probability weighting. (IPW)*

, 2016
Health outcomes by educational attainment, structural marginal model odds ratios using inverse probability weighting. (IPW)*
Joseph L. Ward (2826608), Russell M. Viner (436786)   +1 more
core   +1 more source

Inverse Design of Amorphous Materials With Targeted Properties

Advanced Materials, EarlyView.
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler, Yan Lin, Tao Du, Jilin Hu, Morten M. Smedskjaer   +4 more
wiley   +1 more source