Mathematics, 2022 The article focuses on mortality models with a random effect applied in order to evaluate human mortality more precisely. Such models are called frailty or Cox models.
Jonas Šiaulys, Rokas Puišys
doaj +3 more sources
Rates of Glaucoma Progression Derived from Linear Mixed Models Using Varied Random Effect Distributions. [PDF]
Transl Vis Sci Technol, 2022 Purpose: To compare the ability of linear mixed models with different random effect distributions to estimate rates of visual field loss in glaucoma patients. Design: Retrospective cohort study.
Swaminathan SS +4 more
europepmc +2 more sources
Fixed-effect versus random-effect model in meta-analysis: How to decide? [PDF]
Indian J AnaesthInterpretation of meta-analysis requires an appropriate understanding of its statistical methods. Data synthesis methods are the basis of the meta-analytic process, and a thorough knowledge of the models used is essential.
Maitra S.
europepmc +2 more sources
Multiple QTL Mapping in Autopolyploids: A Random-Effect Model Approach with Application in a Hexaploid Sweetpotato Full-Sib Population. [PDF]
Genetics, 2020 Genetic analysis in autopolyploids is a very complicated subject due to the enormous number of genotypes at a locus that needs to be considered. For instance, the number of... In developing countries, the sweetpotato, Ipomoea batatas (L.) Lam. (2n=6x=90),
da Silva Pereira G +11 more
europepmc +2 more sources
Exact inference for the random-effect model for meta-analyses with rare events. [PDF]
Stat Med, 2020 Meta‐analysis allows for the aggregation of results from multiple studies to improve statistical inference for the parameter of interest. In recent years, random‐effect meta‐analysis has been employed to synthesize estimates of incidence rates of adverse
Gronsbell J +4 more
europepmc +2 more sources
Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies. [PDF]
PLoS Genet, 2016 False positives in a Genome-Wide Association Study (GWAS) can be effectively controlled by a fixed effect and random effect Mixed Linear Model (MLM) that incorporates population structure and kinship among individuals to adjust association tests on ...
Liu X +4 more
europepmc +2 more sources
RADAR: differential analysis of MeRIP-seq data with a random effect model. [PDF]
Genome Biol, 2019 Epitranscriptome profiling using MeRIP-seq is a powerful technique for in vivo functional studies of reversible RNA modifications. We develop RADAR, a comprehensive analytical tool for detecting differentially methylated loci in MeRIP-seq data.
Zhang Z +10 more
europepmc +2 more sources
Modeling Heterogeneity in the Genetic Architecture of Ethnically Diverse Groups Using Random Effect Interaction Models. [PDF]
Genetics, 2019 In humans, most genome-wide association studies have been conducted using data from Caucasians and many of the reported findings have not replicated in other populations.
Veturi Y +5 more
europepmc +2 more sources
Mixture Random-Effect IRT Models for Controlling Extreme Response Style on Rating Scales. [PDF]
Front Psychol, 2016 Respondents are often requested to provide a response to Likert-type or rating-scale items during the assessment of attitude, interest, and personality to measure a variety of latent traits.
Huang HY.
europepmc +2 more sources
The quest for the best: The impact of different EPI sequences on the sensitivity of random effect fMRI group analyses. [PDF]
Neuroimage, 2016 We compared the sensitivity of standard single-shot 2D echo planar imaging (EPI) to three advanced EPI sequences, i.e., 2D multi-echo EPI, 3D high resolution EPI and 3D dual-echo fast EPI in fixed effect and random effects group level fMRI analyses at 3 ...
Kirilina E +4 more
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