Results 41 to 50 of about 489,917 (280)

An Efficient Technique for Bayesian Modelling of Family Data Using the BUGS software

Frontiers in Genetics, 2014
Linear mixed models have become a popular tool to analyze continuous data from family-based designs by using random effects that model the correlation of subjects from the same family.
Harold T Bae, Thomas T Perls, Paola eSebastiani   +2 more
doaj   +1 more source

Patients flow: a mixed-effects modelling approach to predicting discharge probabilities [PDF]

, 2007
A mixed effects approach hereby introduced to patients flow and length of stay modelling. In, particular, a class of generalized linear mixed models has been used to demonstrate the usefulness of this approach. This modelling technique is used to capture
Adeyemi, S., Adeyemi, S., Chaussalet, T.J., Chaussalet, T.J., Millard, P.H., Millard, P.H., Xie, H., Xie, H.   +7 more
core   +1 more source

Meta-analysis of binary outcomes via generalized linear mixed models: a simulation study

BMC Medical Research Methodology, 2018
Background Systematic reviews and meta-analyses of binary outcomes are widespread in all areas of application. The odds ratio, in particular, is by far the most popular effect measure.
Ilyas Bakbergenuly, Elena Kulinskaya
doaj   +1 more source

A mixed effect model for bivariate meta-analysis of diagnostic test accuracy studies using a copula representation of the random effects distribution [PDF]

, 2015
Diagnostic test accuracy studies typically report the number of true positives, false positives, true negatives and false negatives. There usually exists a negative association between the number of true positives and true negatives, because studies that
Arends, Aristidis K. Nikoloulopoulos, Brechmann, Chu, Chu, Chu, Chu, Demidenko, Genest, Genest, Genest, Genest, Glas, Hamza, Harbord, Harbord, Heffernan, Hua, Hult, Jackson, Jackson, Joe, Joe, Joe, Joe, Kurowicka, Kuss, Lee, Ma, Mavridis, Mavridis, Nash, Nelsen, Nikoloulopoulos, Nikoloulopoulos, Nikoloulopoulos, Nikoloulopoulos, Nikoloulopoulos, Nikoloulopoulos, Normand, Paul, Reitsma, Riley R, Rutter, Rücker, Sarmanov, Scheidler, Serfling, Shen, Sklar, Stroud, Vuong   +51 more
core   +2 more sources

A family of linear mixed-effects models using the generalized Laplace distribution

Statistical Methods in Medical Research, 2020
We propose a new family of linear mixed-effects models based on the generalized Laplace distribution. Special cases include the classical normal mixed-effects model, models with Laplace random effects and errors, and models where Laplace and normal variates interchange their roles as random effects and errors.
Geraci M., Farcomeni A.
openaire   +5 more sources

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson, Ingrid Winship, Gary Hammerschlag, Laura Scardamaglia   +3 more
wiley   +1 more source

Association of long-term exposure to PM2.5 in workplace with fasting plasma glucose among asymptomatic adults: A multicenter study in North China

Environment International, 2022
Background: The impacts of long-term high exposure to PM2.5 in workplace on glucose metabolism in asymptomatic working adults (AWAs) have rarely been explored.
Jiangshan He, Songhua Hu, Ximing Xu, Pei Guo, Yujie Niu, Jingbo Zhang, Rong Zhang, Shuo Chen, Shitao Ma, Feng Liu, Qiang Li, Chunjun Li, Li Zhang, Ying Wu, Mianzhi Zhang, Minying Zhang   +15 more
doaj   +1 more source

Bayesian Generalized Linear Mixed Effects Models for Deception Detection Analyses

, 2023
Historically, deception detection research has relied on factorial analyses of response accuracy to make inferences. But this practice overlooks important sources of variability resulting in potentially misleading estimates and may conflate response bias with participants’ underlying sensitivity to detect lies from truths.
Mircea Zloteanu, Matti Vuorre
openaire   +1 more source

Likelihood‐based inference for linear mixed‐effects models using the generalized hyperbolic distribution

Stat, 2023
In this paper, we develop statistical methodology for the analysis of data under nonnormal distributions, in the context of mixed effects models. Although the multivariate normal distribution is useful in many cases, it is not appropriate, for instance, when the data come from skewed and/or heavy‐tailed distributions.
Victor H. Lachos, Manuel Galea, Camila Zeller, Marcos O. Prates   +3 more
openaire   +3 more sources

Preferences of Pediatric Patients and Their Caregivers for Chemotherapy‐Induced Nausea and Vomiting Control Endpoints: A Mixed Methods Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman, Tadi Hondonga, Alison Berry, Caitlin Elgarten, Jason Freedman, Katelyn Oranges, Sara McDonough, Caroline Diorio, L. Lee Dupuis   +8 more
wiley   +1 more source