Results 41 to 50 of about 553,512 (210)
Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella +5 more
wiley +1 more source
Introducing model uncertainty in time series bootstrap [PDF]
, 2001 It is common in parametric bootstrap to select the model from the data, and then treat it as it were the true model. Kilian (1998) have shown that ignoring the model uncertainty may seriously undermine the coverage accuracy of bootstrap confidence ...
Peña, Daniel +2 more
core +1 more source
Multiple Comparisons for a Psychophysical Test in Bootstrap Logistic Regression
Journal of Algorithms & Computational Technology, 2014 We propose an algorithm of multiple comparisons with a control for a psychophysical test. Our algorithm is based on the step-down procedure and is applicable to the bootstrap test in logistic regression.
Norihiro Mita +4 more
doaj +1 more source
Appendix A. Parametric bootstrap algorithms.
, 2016 Parametric bootstrap ...
David R. Bellwood (141161) +3 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Autoimmune glial fibrillary acidic protein astrocytopathy (GFAP‐A) is an inflammatory central nervous system disorder with variable outcomes. Relapse occurs in a subset of patients, but early predictors remain unclear. We aimed to identify admission‐available features associated with 1‐year recurrence and develop an interpretable ...
Qingting Hong +10 more
wiley +1 more source
Simultaneous Inference of Gene Isoform Expression for RNA Sequencing Data
Revstat Statistical Journal, 2020 In this article, we describe simultaneous inferential methods in detecting differentially expressed gene isoforms based on the Poisson generalized linear models. We derive the joint asymptotic distribution of pivotal quantities.
Bo Li
doaj +1 more source
Appendix E. Parametric bootstrap analysis.
, 2016 Parametric bootstrap ...
Terence P. Hughes (2912843) +2 more
core +1 more source
Bayesian parametric bootstrap for models with intractable likelihoods [PDF]
, 2019 In this paper it is demonstrated how the Bayesian parametric bootstrap can be adapted to models with intractable likelihoods. The approach is most appealing when the computationally efficient semi-automatic approximate Bayesian computation (ABC) summary ...
Christopher C. Drovandi +5 more
core +1 more source
Anticoagulation Treatment Response Among Phenotypic ESUS Clusters: Evidence From CASPR
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate treatment effect heterogeneity across phenotypic clusters of patients with cryptogenic embolic stroke using causal inference methods. Methods From a retrospective, multicenter cohort of patients with cryptogenic embolic stroke, we estimated the treatment effect of anticoagulation versus antiplatelet therapy in patients ...
Elena Badillo Goicoechea +53 more
wiley +1 more source
Arthritis Care &Research, Accepted Article.Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck +10 more
wiley +1 more source