Results 131 to 140 of about 30,733 (250)
Polygenic Risk Score Predicts Prostate Cancer Risk Independent of Type 2 Diabetes
Diabetes, Obesity and Metabolism, Volume 28, Issue 6, Page 4991-5000, June 2026.ABSTRACT Aims Type 2 diabetes mellitus (T2DM) has been inversely associated with prostate cancer (PrCa) risk. However, it remains unclear whether a polygenic risk score (PRS) for PrCa can effectively stratify risk among men with T2DM. The primary objective of this study was to assess whether a PrCa PRS predicts PrCa risk independently of T2DM status ...
Guk Jin Lee +32 more
wiley +1 more source
Regression discontinuity design with covariates [PDF]
In this paper, the regression discontinuity design (RDD) is generalized to account for differences in observed covariates X in a fully nonparametric way. It is shown that the treatment effect can be estimated at the rate for one-dimensional nonparametric
Markus Frölich
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LABOUR, Volume 40, Issue 2, Page 131-161, June 2026.ABSTRACT The present paper provides an overall framework to afford the problem of non‐representativeness and non‐random selectivity arising from online job ads data, using Generalized sample selection models and Eurostat benchmark data. We jointly model the outcome intensity (number of online job ads in observed profiles, whose levels are defined by ...
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
Journal of Dairy Science: The ability of a dairy cow to perform reliably over time is an interesting trait to include in dairy cattle breeding programs aimed at improving dairy cow resilience.
Fiona L. Guinan +3 more
doaj +1 more source
Productivity Dynamics and Structural Change in the U.S. Manufacturing Sector [PDF]
The paper investigates structural change among the four-digit (SIC) industries of the U.S. manufacturing sector during 1958-96 within a distribution dynamics framework. Focus is on the transition density of the Markov process that characterizes the value
Jens J. Krüger
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Estimating Correlations Between Clinical Trial Outcomes Using Generalised Estimating Equations
Oxford Bulletin of Economics and Statistics, Volume 88, Issue 3, Page 553-567, June 2026.ABSTRACT Accurately estimating the correlations among clinical trial outcomes is crucial for managing the risk of biopharmaceutical investment portfolios. We propose a novel algorithm for estimating correlations in large clinical trial datasets using a generalised estimating equations (GEE) framework.
Yuehao Dai +4 more
wiley +1 more source
Interval identification of natural effects in the presence of outcome‐related unmeasured confounding
Scandinavian Journal of Statistics, Volume 53, Issue 2, Page 712-734, June 2026.Abstract With reference to a binary outcome and a binary mediator, we derive identification bounds for natural effects under a reduced set of assumptions. Specifically, no assumptions about confounding are made that involve the outcome; we only assume no unobserved exposure‐mediator confounding as well as a pair of conditions termed Partially Constant ...
Marco Doretti, Elena Stanghellini
wiley +1 more source
Sensitivity analysis for generalized estimating equation with non‐ignorable missing data
Scandinavian Journal of Statistics, Volume 53, Issue 2, Page 735-762, June 2026.Abstract Many incomplete‐data statistical inference procedures are developed under the missing at random (MAR) assumption. However, the MAR assumption has been criticized as being overly strong for real‐data problems, and is unverifiable by using observed data. To handle data that are missing not at random (MNAR), sensitivity analysis has been proposed
Hui Gong, Kin Wai Chan
wiley +1 more source
Convergence analysis of generalized iteratively reweighted least squares algorithms on convex function spaces [PDF]
The computation of robust regression estimates often relies on minimization of a convex functional on a convex set. In this paper we discuss a general technique for a large class of convex functionals to compute the minimizers iteratively which is ...
Bissantz, Nicolai +3 more
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Nonparametric Cure Models Through Extreme‐Value Tail Estimation
Scandinavian Journal of Statistics, Volume 53, Issue 2, Page 984-1000, June 2026.ABSTRACT In survival analysis, the estimation of the proportion of subjects who will never experience the event of interest, termed the cure rate, has received considerable attention recently. Its estimation can be a particularly difficult task when follow‐up is not sufficient, that is, when the censoring mechanism has a smaller support than the ...
Jan Beirlant +2 more
wiley +1 more source