Results 41 to 50 of about 1,056 (134)
Statistics in Medicine, Volume 45, Issue 6-7, March 2026.ABSTRACT Introduction In analysis of time‐to‐event outcomes, a mixture cure (MC) model is preferred over a standard survival model when the sample includes individuals who will never experience the event of interest. Motivated by a cohort study of breast cancer patients with incomplete biomarkers, we develop multiple imputation (MI) methods assuming a ...
Changchang Xu +3 more
wiley +1 more source
Acta Ophthalmologica, Volume 104, Issue 2, Page e173-e182, March 2026.Abstract Purpose To estimate the risk of rhegmatogenous retinal detachment (RRD) following pars plana vitrectomy (PPV) for full‐thickness macular hole (FTMH) or epiretinal membrane (ERM) in pseudophakic eyes. Methods We conducted a nationwide Danish registry‐based cohort study from 2010 to 2023.
Birgitte Romme Nielsen +6 more
wiley +1 more source
A deep learning test of the martingale difference hypothesis
Journal of ForecastingA deep learning binary classifier is proposed to test if asset returns follow martingale difference sequences. The Neyman-Pearson classification paradigm is applied to control the type I error of the test. In Monte Carlo simulations, I find that this approach has better power properties than variance ratio and portmanteau tests against several ...
openaire +3 more sources
Computer Methods and Programs in Biomedicine[Abstract] Background: Understanding the relationship between covariates and clinical outcomes is a fundamental goal in biostatistics, particularly in the context of survival analysis and cure models. Traditional methods often lack the flexibility to assess complex dependencies or to evaluate covariate effects in a nonparametric manner. Moreover, there
Blanca E. Monroy-Castillo +2 more
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European Journal of Neurology, Volume 33, Issue 3, March 2026.Dementia risk showed no clear differences across T2D subgroups; the numerically higher risk with low insulin secretion was statistically uncertain due to few events and warrants further study. ABSTRACT Background Insulin resistance and impaired insulin secretion are hallmarks of type 2 diabetes (T2D) and may influence risks of complications including ...
Nicole Jacqueline Jensen +7 more
wiley +1 more source
Cointegrating Polynomial Regressions With Power Law Trends
Journal of Time Series Analysis, Volume 47, Issue 2, Page 331-344, March 2026.ABSTRACT The common practice in cointegrating polynomial regressions (CPRs) often confines nonlinearities in the variable of interest to stochastic trends, thereby overlooking the possibility that they may be caused by deterministic components. As an extension, we propose univariate and multivariate CPRs that incorporate power law deterministic trends.
Yicong Lin, Hanno Reuvers
wiley +1 more source
On goodness‐of‐fit testing for self‐exciting point processes
Scandinavian Journal of Statistics, Volume 53, Issue 1, Page 102-139, March 2026.Abstract Despite the wide usage of parametric point processes in theory and applications, a sound goodness‐of‐fit procedure to test whether a given parametric model is appropriate for data coming from a self‐exciting point process has been missing in the literature.
José Carlos Fontanesi Kling +1 more
wiley +1 more source
Compositional analysis of microbiome data using the linear decomposition model (LDM). [PDF]
Bioinformatics, 2023 Hu YJ, Satten GA.
europepmc +1 more source
, 2010 This study examines the martingale difference hypothesis (MDH) for the market of carbon emission allowances within the European Union Emission Trading Scheme (EU ETS) during the Phase I and the Phase II, using both daily and weekly data over the period 2005--2009.
Charles, Amélie +2 more
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An Alternative Treatment Effect Measure for Time-to-Event Oncology Randomized Trials. [PDF]
Cancers (Basel)Hutson AD, Yu H.
europepmc +1 more source