Results 11 to 20 of about 79,005 (311)
Informative Censoring—A Cause of Bias in Estimating COVID-19 Mortality Using Hospital Data
Life, 2023 (1) Background: Several retrospective observational analyzed treatment outcomes for COVID-19; (2) Methods: Inverse probability of censoring weighting (IPCW) was applied to correct for bias due to informative censoring in database of hospitalized patients
Hung-Mo Lin +7 more
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A semi-Markov model for stroke with piecewise-constant hazards in the presence of left, right and interval censoring. [PDF]
, 2013 This paper presents a parametric method of fitting semi-Markov models with piecewise-constant hazards in the presence of left, right and interval censoring. We investigate transition intensities in a three-state illness-death model with no recovery.
Kapetanakis, V +5 more
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, 2022 Education technologies (EdTech) are becoming pervasive due to their cost-effectiveness, accessibility, and scalability. They also experienced accelerated market growth during the recent pandemic.
Rakibul Hasan (16317345) +1 more
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Policy Quarterly, 2021 Public sector leadership often demands fast thinking and rapid response. Our decisions are more likely to be sound, however, when they are informed by ‘slow thinking’ when we are not in crisis mode. The art of ‘thinking, fast and slow’ (Kahneman, 2011) is illustrated by decisions of the Office of Film and Literature Classification (the Classification ...
David Bromell, David Shanks
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, 2021 Supplemental material, sj-pdf-1-smm-10.1177_09622802211037067 for The asymptotic distribution of the Net Benefit estimator in presence of right-censoring by Brice Ozenne, Esben Budtz-Jørgensen and Julien Péron in Statistical Methods in Medical ...
Julien Péron (4876762) +2 more
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On Recensoring for Censored Paired Data [PDF]
Journal of the American Statistical Association, 1993 In comparing two treatment regimens, a matched-pair design is often used for nonhomogeneous experimental units. A standard method of analyzing the resulting data is to consider the difference within pairs, so that the nuisance parameters due to the heterogeneity between pairs can be eliminated and the parameter of interest—the treatment effect—can be ...
J.J. Lee, K.C. Li, R.M. Elashoff
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Asymptotic Relative Efficiency of Parametric and Nonparametric Survival Estimators
Stats, 2023 The dominance of non- and semi-parametric methods in survival analysis is not without criticism. Several studies have highlighted the decrease in efficiency compared to parametric methods. We revisit the problem of Asymptotic Relative Efficiency (ARE) of
Szilárd Nemes
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Supersymmetry as a cosmic censor [PDF]
Physical Review D, 1992 42 pages (figures not included)
Kallosh, Renata +4 more
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Analysis of Breast Cancer Data using Kaplan–Meier Survival Analysis
Journal of Kufa for Mathematics and Computer, 2012 The Kaplan–Meier estimator is a very popular that provides better estimates to determine the median when the sample size is reasonably large.
Nazera Khalil Dakhil +2 more
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Most Likely Transformations: The mlt Package
Journal of Statistical Software, 2020 The mlt package implements maximum likelihood estimation in the class of conditional transformation models. Based on a suitable explicit parameterization of the unconditional or conditional transformation function using infrastructure from package ...
Torsten Hothorn
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