A new approach for approximating the p-value of a class of bivariate sign tests [PDF]
Scientific Reports, 2023 Bivariate data are frequently encountered in many applied fields, including econometrics, engineering, physiology, biology, and medicine. For bivariate analysis, a wide range of non-parametric and parametric techniques can be applied.
Ibrahim A. A. Shanan +2 more
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A Modified Multiplicative Thinning-Based INARCH Model: Properties, Saddlepoint Maximum Likelihood Estimation, and Application [PDF]
Entropy, 2023 In this article, we propose a modified multiplicative thinning-based integer-valued autoregressive conditional heteroscedasticity model and use the saddlepoint maximum likelihood estimation (SPMLE) method to estimate parameters.
Yue Xu, Qi Li, Fukang Zhu
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Saddlepoint inference for rank-based k-sample tests in clustered survival trials [PDF]
Scientific ReportsStatistical inference for cluster randomized trials often involves complex derived endpoints, such as biomarker ratios or cumulative products, which significantly complicate the application of standard asymptotic theory.
Haidy A. Newer
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Accurate and efficient P-values for rank-based independence tests with clustered data using a saddlepoint approximation [PDF]
Scientific ReportsAccurate statistical inference for clustered data—common in multi-center clinical trials and longitudinal studies—poses significant challenges due to within-cluster correlation. Rank-based tests like the logrank, Wilcoxon, and Datta-Satten are valued for
Haidy A. Newer
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Saddlepoint p-values for a class of location-scale tests under randomized block design [PDF]
Scientific ReportsThis paper deals with a class of nonparametric two-sample location-scale tests. The purpose of this paper is to approximate the exact p-value of the considered class under a randomized block design.
Haidy N. Mohamed +3 more
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An Upper Bound on the Error Induced by Saddlepoint Approximations—Applications to Information Theory [PDF]
Entropy, 2020 This paper introduces an upper bound on the absolute difference between: ( a ) the cumulative distribution function (CDF) of the sum of a finite number of independent and identically distributed random variables with finite absolute third moment;
Dadja Anade +3 more
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A region on chromosome 16 is associated with Doberman Pinscher dilated cardiomyopathy [PDF]
Scientific ReportsDoberman Pinschers are known for their increased susceptibility to dilated cardiomyopathy (DCM) relative to other domestic dogs. This makes the Doberman Pinscher a key model for gene-disease investigations.
Alex Polenberg +3 more
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SPAGRM: effectively controlling for sample relatedness in large-scale genome-wide association studies of longitudinal traits [PDF]
Nature CommunicationsSample relatedness is a major confounder in genome-wide association studies (GWAS), potentially leading to inflated type I error rates if not appropriately controlled.
He Xu +11 more
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Scalable and Robust Regression Methods for Phenome-Wide Association Analysis on Large-Scale Biobank Data [PDF]
Frontiers in Genetics, 2021 With the advances in genotyping technologies and electronic health records (EHRs), large biobanks have been great resources to identify novel genetic associations and gene-environment interactions on a genome-wide and even a phenome-wide scale.
Wenjian Bi +3 more
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Significance evaluation in factor graphs [PDF]
BMC Bioinformatics, 2017 Background Factor graphs provide a flexible and general framework for specifying probability distributions. They can capture a range of popular and recent models for analysis of both genomics data as well as data from other scientific fields.
Tobias Madsen +3 more
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