Results 11 to 20 of about 3,644,468 (346)

Random effects modelling versus logistic regression for the inclusion of cluster-level covariates in propensity score estimation: A Monte Carlo simulation and registry cohort analysis

open access: yesFrontiers in Pharmacology, 2023
Purpose: Surgeon and hospital-related features, such as volume, can be associated with treatment choices and outcomes. Accounting for these covariates with propensity score (PS) analysis can be challenging due to the clustered nature of the data.
Mike Du   +5 more
doaj   +1 more source

Recovering Crossed Random Effects in Mixed-Effects Models Using Model Averaging

open access: yesMethodology, 2022
Random effects contain crucial information to understand the variability of the processes under study in mixed-effects models with crossed random effects (MEMs-CR).
José Ángel Martínez-Huertas   +1 more
doaj   +1 more source

Association between triglyceride glucose index and risk of cancer: A meta-analysis

open access: yesFrontiers in Endocrinology, 2023
BackgroundTriglyceride glucose (TyG) index as a more convenient and reliable predictor of insulin resistance (IR) is thought to be associated with many diseases, but its relationship with cancer remains unclear.MethodsThe meta-analysis was conducted to ...
Huan Wang   +5 more
doaj   +1 more source

Basic aspects of meta-analysis. Part 1

open access: yesСеченовский вестник, 2023
Meta-analysis is one of the concepts of scientific methodology, and is a frequent but optional component of systematic reviews of empirical research.
A. Yu. Suvorov   +5 more
doaj   +1 more source

Relation between tax wedge and employment rate: The case of OECD countries [PDF]

open access: yesIndustrija, 2022
The paper investigates the relationship between tax wedge and employment rate in thirty-six OECD countries for the period 2000-2020. The aim of this paper is to identify how tax wedge indicators affect the employment level in these economies.
Kalaš Branimir   +2 more
doaj   +1 more source

Optimization of equity allocations of institutional investors: study of Moroccan case

open access: yesInternational Journal for Simulation and Multidisciplinary Design Optimization, 2022
Institutional investors normally define the market segments that present more opportunities for profitability based on their commitments, their financial and accounting situations and the regulations that govern the structure of their investments in ...
Bouchekourte Mustapha   +1 more
doaj   +1 more source

How to use χ2 test correctly——the analysis of common relative risk for the data of a multiway table and the implementation of SAS software

open access: yesSichuan jingshen weisheng, 2021
The purpose of the paper was to introduce the relative risk analysis method of g×2×2 table data and the calculation method based on SAS software. The contents included the following aspects: firstly, the homogeneity test of the data in the g×2×2 table ...
Hu Chunyan, Hu Liangping
doaj   +1 more source

Applying Linear Mixed Effects Models with Crossed Random Effects to Psycholinguistic Data: Multilevel Specification and Model Selection. [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2015
Applying linear mixed effects regression (LMER) models to psycholinguistic data was made popular by Baayen, Davidson, and Bates (2008). However, applied researchers sometimes encounter model specification difficulties when using such models.
Hsiu-Ting Yu
doaj   +2 more sources

A Bayesian localised conditional auto-regressive model for estimating the health effects of air pollution [PDF]

open access: yes, 2013
Estimation of the long-term health effects of air pollution is a challenging task, especially when modeling spatial small-area disease incidence data in an ecological study design.
Besag   +19 more
core   +2 more sources

META-ANALYSIS FOR EVALUATING THE EFFICIENCY OF GENOMIC SELECTION IN CEREALS [PDF]

open access: yesBAG. Journal of Basic and Applied Genetics, 2020
Genomic selection (GS) is used to predict the merit of a genotype with respect to a quantitative trait from molecular or genomic data. Statistically, GS requires fitting a regression model with multiple predictors associated with the molecular markers ...
Rueda Calderón M. A.   +2 more
doaj   +1 more source

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