Results 81 to 90 of about 1,742,420 (301)
Baseline characteristics before and after inverse probability of treatment weighting with restriction.
Javier Maldonado-Escalante (16884103) +4 more
core +1 more source
Objective Race and household income impact outcomes in patients with rheumatic conditions; however, their role in pediatric antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV) remains poorly understood. We aimed to evaluate whether race and ethnicity and household income are associated with severe AAV disease and renal outcomes among
Roberto Alejandro Valdovinos +2 more
wiley +1 more source
multipleNCC: Inverse Probability Weighting of Nested Case-Control Data [PDF]
Reuse of controls from nested case-control designs can increase efficiency in many situations, for instance with competing risks or in other multiple endpoints situations. The matching between cases and controls must be broken when controls are to be used for other endpoints. A weighted analysis can then be performed to take care of the biased sampling
Støer, Nathalie C, Samuelsen, Sven Ove
openaire +2 more sources
Baseline characteristics of the atrial fibrillation populations after inverse probability of treatment weighting.
Sylvie Perreault (3574211) +5 more
core +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Background Previous studies have been inconsistent concerning the association between smoking and risk of osteoarthritis (OA). This study aimed to explore the associations of smoking status and change in cartilage volume of OA in two longitudinal cohorts.
Ziyuan Shen +4 more
doaj +1 more source
Risks of outcomes among immunocompromised patients after inverse probability of treatment weighting.
Risks of outcomes among immunocompromised patients after inverse probability of treatment weighting.
Sun-Young Jung (295962) +4 more
core +1 more source
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
A Note on the Relation of Weighting and Matching Estimators [PDF]
This paper compares the inverse-probability-of-selection-weighting estimation principle with the matching principle and derives conditions for weighting and matching to identify the same and the true distribution, respectively.
Michael Lechner
core
Inverse probability weighting Cox proportional hazard regression to evaluate the effect of treatment on OS.
Vishal Vashistha (3919100) +5 more
core +1 more source

