Results 31 to 40 of about 325,195 (256)

Structured methods for parameter inference and uncertainty quantification for mechanistic models in the life sciences

Royal Society Open Science
Parameter inference and uncertainty quantification are important steps when relating mathematical models to real-world observations and when estimating uncertainty in model predictions.
Michael J. Plank, Matthew J. Simpson
doaj   +1 more source

Maximum-likelihood model averaging to profile clustering of site types across discrete linear sequences. [PDF]

PLoS Computational Biology, 2009
A major analytical challenge in computational biology is the detection and description of clusters of specified site types, such as polymorphic or substituted sites within DNA or protein sequences.
Zhang Zhang, Jeffrey P Townsend
doaj   +1 more source

Developmental validation of a software implementation of a flexible framework for the assignment of likelihood ratios for forensic investigations

Forensic Science International: Reports, 2021
The developmental validation of the software DBLR™ (‘database likelihood ratios’) is described. DBLR™ implements a flexible framework for the assignment of likelihood ratios for forensic DNA profiles. This framework allows the user to assign a likelihood
Hannah Kelly, Zane Kerr, Kevin Cheng, Maarten Kruijver, Jo-Anne Bright   +4 more
doaj   +1 more source

Identifying Risk Profiles of Malignant Prostate Cancer Surgical Delay Using a Person-Centered Approach to Understand Prostate Cancer Disparities: The Constellation of Health Determinants Using Latent Class Analysis on Cancer Registry Data

American Journal of Men's Health, 2020
Surgical prostate cancer (PCa) treatment delay (TD) may increase the likelihood of recurrence of disease, and influence quality of life as well as survival disparities between Black and White men.
Francisco A. Montiel Ishino PhD, MPH, Claire Rowan BS, Rina Das PhD, Janani Thapa PhD, Ewan Cobran PhD, Martin Whiteside PhD MSPH, Faustine Williams PhD, MPH MS   +6 more
doaj   +1 more source

Profiles on Adolescent Internet Addiction: A Taxonomy with Latent Profiling Analysis

Acta Médica Portuguesa, 2022
Introduction: Addictive use of the Internet among adolescents has been linked to a negative psychosocial development, but more detailed information about Internet addiction (IA) profiles is warranted. The aim of this study was to identify IA profiles in
Miguel Vieira Martins, Ricardo Gouveia Rodrigues, Paula Saraiva Carvalho, Sofia Ferreira   +3 more
doaj   +1 more source

A note on directed adjusted profile likelihoods [PDF]

Journal of Statistical Planning and Inference, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
SARTORI, NICOLA, SALVAN, ALESSANDRA, PACE L.   +2 more
openaire   +4 more sources

Genomic Diversity and Clinical Variability in Pediatric Primary Cutaneous Anaplastic Large Cell Lymphoma: A Case Series

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary cutaneous anaplastic large cell lymphoma (pcALCL) is a rare pediatric CD30‐positive T‐cell lymphoproliferative disorder with an excellent prognosis, but its genomic drivers are poorly defined. We report three children with skin‐limited disease demonstrating striking molecular heterogeneity, including NPM::ALK, NUP214::FRK, and a novel ...
Shoshana Greenberger, Efrat Bar‐Ilan, Victoria Marcu, Evgeny Grishin, Rinat Yacobi, Aviv Barzilai, Hana Golan, Assaf Arie Barg   +7 more
wiley   +1 more source

Are profile likelihoods likelihoods? No, but sometimes they can be

, 2019
We offer our two cents to the ongoing discussion on whether profile likelihoods are "true" likelihood functions, by showing that the profile likelihood function can in fact be identical to a marginal likelihood in the special case of normal models.
Huang, Alan, Kim, Andy Sangil
openaire   +2 more sources

Profiles of learners based on their cognitive and metacognitive learning strategy use: occurrence and relations with gender, intrinsic motivation, and perceived autonomy support

Humanities & Social Sciences Communications, 2022
For life-long learning, an effective learning strategy repertoire is particularly important during acquisition of knowledge in lower secondary school—an educational level characterized with transition into more autonomous learning environments with ...
Diana Kwarikunda, Ulrich Schiefele, Charles Magoba Muwonge, Joseph Ssenyonga   +3 more
doaj   +1 more source

Cover your bases: asymptotic distributions of the profile likelihood ratio when constraining effective field theories in high-energy physics

SciPost Physics Core, 2023
We investigate the asymptotic distribution of the profile likelihood ratio (PLR) when constraining effective field theories (EFTs) and show that Wilks' theorem is often violated, meaning that we should not assume the PLR to follow a $\chi^2$-distribution.
Florian Urs Bernlochner, Daniel C. Fry, Stephen Burns Menary, Eric Persson
doaj   +1 more source