Results 1 to 10 of about 1,216,959 (343)

Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

open access: yesStatistics in Medicine, 2015
The propensity score is defined as a subject's probability of treatment selection, conditional on observed baseline covariates. Weighting subjects by the inverse probability of treatment received creates a synthetic sample in which treatment assignment ...
Elizabeth A Stuart
exaly   +2 more sources

Light-weighting in aerospace component and system design

open access: yesPropulsion and Power Research, 2018
Light-weighting involves the use of advanced materials and engineering methods to enable structural elements to deliver the same, or enhanced, technical performance while using less material. The concept has been extensively explored and utilised in many
Nan Li
exaly   +2 more sources

Data-driven hypothesis weighting increases detection power in genome-scale multiple testing

open access: yesNature Methods, 2016
Hypothesis weighting improves the power of large-scale multiple testing. We describe independent hypothesis weighting (IHW), a method that assigns weights using covariates independent of the P-values under the null hypothesis but informative of each test'
Nikolaos Ignatiadis   +2 more
exaly   +2 more sources

Recognition coefficient of spatial geological features, an approach to facilitate criteria weighting for mineral exploration targeting [PDF]

open access: yesInternational Journal of Mining and Geo-Engineering, 2023
The different methods for delineating favorable areas for mineral exploration utilize exploration criteria regarding targeted mineral deposits. The criteria are elicited according to conceptual model parameters of the targeted mineral deposits.
Mahyar Yousefi   +2 more
doaj   +1 more source

Efficient Diffusion Training via Min-SNR Weighting Strategy [PDF]

open access: yesIEEE International Conference on Computer Vision, 2023
Denoising diffusion models have been a mainstream approach for image generation, however, training these models often suffers from slow convergence.
Tiankai Hang   +7 more
semanticscholar   +1 more source

VMRCD: an algorithm for dependable routing using the re-clustering for vehicular networks with v2v communication [PDF]

open access: yesمجله مدل سازی در مهندسی, 2022
Vehicle traffic congestion control has an essential role in time management and with a case study on clustering-based VANET networks, an algorithm for dependable routing using the re-clustering for vehicular networks with v2v communication has been ...
Arash Ghorbannia Delavar   +2 more
doaj   +1 more source

A Dual Weighting Label Assignment Scheme for Object Detection [PDF]

open access: yesComputer Vision and Pattern Recognition, 2022
Label assignment (LA), which aims to assign each training sample a positive (pos) and a negative (neg) loss weight, plays an important role in object detection.
Shuai Li   +3 more
semanticscholar   +1 more source

A Weighting Radius Prediction Iteration Optimization Algorithm Used in Photogrammetry for Rotary Body Structure of Port Hoisting Machinery

open access: yesIEEE Access, 2021
As a non-contact measurement technology with high data acquisition efficiency, photogrammetry is an ideal choice for collecting the data needed in the safety evaluation of port hoisting machinery.
Enshun Lu   +4 more
doaj   +1 more source

An introduction to inverse probability of treatment weighting in observational research

open access: yesClinical Kidney Journal, 2021
In this article we introduce the concept of inverse probability of treatment weighting (IPTW) and describe how this method can be applied to adjust for measured confounding in observational research, illustrated by a clinical example from nephrology ...
N. Chesnaye   +6 more
semanticscholar   +1 more source

Bias correction for inverse variance weighting Mendelian randomization

open access: yesbioRxiv, 2022
Inverse-variance weighted two-sample Mendelian randomization (IVW-MR) is the most widely used approach that utilizes genome-wide association studies (GWAS) summary statistics to infer the existence and the strength of the causal effect between an ...
N. Mounier, Z. Kutalik
semanticscholar   +1 more source

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