In applied statistical research the practitioner frequently faces the problem that there is neither clear guidance from grounds of theoretical reasoning nor empirical (meta) evidence on the choice of functional form of a tentative regression model. Thus, parametric modeling resulting in a parametric ...
2.8 Multiple regression Multiple regression analyses were computed to test for specific influences of the predictors on the performance in the cognitive tasks. This resulted in two models with either the d2 and Stroop main scores as dependent variables and all other variables of interest as predictor...
“A Systematic Review, Meta-Analysis and Meta-Regression of the Global Prevalence of Foodborne Vibrio Spp. Infection in Fishes: A Persistent Public Health Concern”. In: Marine Pollution Bulletin 187 (Feb. 2023), p. 114521. ISSN: 0025-326X. DOI: 10.1016/j.marpolbul.2022.114521. (Visited ...
Although preliminary, these results support the rationale and value of future clinical studies with the highest dose of hfNPCs in a larger cohort of patients.Similar content being viewed by others Looking backward to move forward: a meta-analysis of stem cell therapy in amyotrophic lateral ...
First, when the number of included studies is small, meta-regression suffers from low statistical power to examine all moderators simultaneously (Tanner-Smith & Grant, 2018). Second, meta-regression has difficulties in exploring interaction effects among moderators since it requires moderators and ...
Cytoreductive surgery for recurrent ovarian cancer: A meta-analysis Multiple linear regression analysis of predictor variables At the bivariate level, there was a strong positive correlation between the proportion of patients in each cohort undergoing optimalcytoreductive surgeryand the proportion of patients...
(Fig.4; measured by average out-of-sample McFadden’sR2for logistic regression;Methods). While the increased performance of local ancestry in some regions compared with regular GWAS can be explained by tagging of SNPs outside the region, the increased performance of HTRX over GWAS quantifies ...
Introduction to Meta-analysis. Hoboken, NJ: John Wiley & Sons; 2011. 21. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557-560.PubMedGoogle ScholarCrossref 22. Thompson SG, Higgins JP. How should meta-regression analyses be...
Functions for RE meta-CART 函数REmrt是进行随机效应元CART分析的主要函数。函数REmrt中的树生长和修剪过程都是全新的R代码与C++相结合,实现了 "RE meta-CART "中描述的顺序分区算法。函数REmrt的不同参数描述如下。 参数formula, data,vi,和c与函数FEmrt中的相应参数类似。
that uses a logistic regression model and relies on multiple pathogenicity prediction tools, including MutPred [22], VEST [14], PROVEAN [9], Mutation Assessor [11], and phastCons [23]. Although the aforementioned methods are widely used or developed with state-of-the-art methods, they only...