Results 1 to 10 of about 4,813,469 (351)

Score test variable screening. [PDF]

Biometrics, 2014
SummaryVariable screening has emerged as a crucial first step in the analysis of high‐throughput data, but existing procedures can be computationally cumbersome, difficult to justify theoretically, or inapplicable to certain types of analyses. Motivated by a high‐dimensional censored quantile regression problem in multiple myeloma genomics, this ...
Zhao SD, Li Y.
europepmc   +9 more sources

An Efficient Score Test Integrated with Empirical Bayes for Genome-Wide Association Studies [PDF]

Frontiers in Genetics, 2021
Many methods used in multi-locus genome-wide association studies (GWAS) have been developed to improve statistical power. However, most existing multi-locus methods are not quicker than single-locus methods.
Jing Xiao, Yang Zhou, Shu He, Wen-Long Ren   +3 more
doaj   +2 more sources

A fast score test for generalized mixture models. [PDF]

Biometrics, 2020
Duan R, Ning Y, Wang S, Lindsay BG, Carroll RJ, Chen Y.   +5 more
europepmc   +3 more sources

RL-SKAT: An Exact and Efficient Score Test for Heritability and Set Tests. [PDF]

Genetics, 2017
Schweiger R, Weissbrod O, Rahmani E, Müller-Nurasyid M, Kunze S, Gieger C, Waldenberger M, Rosset S, Halperin E.   +8 more
europepmc   +3 more sources

Homogeneity Test of Many-to-One Relative Risk Ratios in Unilateral and Bilateral Data with Multiple Groups

Axioms, 2023
In medical clinical studies, we often encounter paired organs’ unilateral or bilateral data. For bilateral data, there exists an intraclass correlation between paired organs.
Yuxin Li, Zhiming Li, Keyi Mou
doaj   +1 more source

Statistical Inference for Odds Ratio of Two Proportions in Bilateral Correlated Data

Axioms, 2022
Bilateral correlated data frequently arise in medical clinical studies such as otolaryngology and ophthalmology. Based on an equal correlation coefficient model, this paper mainly aimed to investigate the statistical inference for the odds ratio of two ...
Zhiming Li, Changxing Ma
doaj   +1 more source

Rank Score Tests [PDF]

Circulation, 2006
Nonparametric statistical methods are useful tools for data analysis when there is reason to believe that the outcome variables of interest may fail certain distributional assumptions required for parametric methods. Variables may be ordered categories in nature and thereby not suitable for analysis methods that assume normally distributed variables ...
Lisa M, LaVange, Gary G, Koch
openaire   +2 more sources

A Semiparametric Approach to Test for the Presence of INAR: Simulations and Empirical Applications

Mathematics, 2022
The present paper explores the application of bootstrap methods in testing for serial dependence in observed driven Integer-AutoRegressive (models) considering Poisson arrivals (P-INAR).
Lucio Palazzo, Riccardo Ievoli
doaj   +1 more source

Association Testing of a Group of Genetic Markers Based on Next-Generation Sequencing Data and Continuous Response Using a Linear Model Framework

Mathematics, 2023
Association testing has been widely used to study the relationship between phenotypes and genetic variants. Most testing methods are based on genotypes. To avoid genotype calling and directly test on next-generation sequencing (NGS) data, sequencing data-
Zheng Xu
doaj   +1 more source

How to use χ2 test correctly——the score test and the implementation of SAS software

Sichuan jingshen weisheng, 2021
The purpose of this article was to introduce the score test and the SAS implementation. Concretely， there were five common forms of the score test statistics， namely the general score test statistic，the robust score test statistic，the residual score test
Hu Chunyan, Hu Liangping
doaj   +1 more source