Corrigendum to Poisson–Tweedie mixed-effects model: A flexible approach for the analysis of longitudinal RNA-seq data

IF 1.2 4区 数学 Q2 STATISTICS & PROBABILITY
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引用次数: 0

Abstract

“Poisson–Tweedie mixed-effects model: A flexible approach for the analysis of longitudinal RNA-seq data” by Mirko Signorelli, Pietro Spitali and Roula Tsonaka was published in Statistical Modelling, Onlinefirst 24 August 2020, DOI: 10.1177/1471082X20936017. The authors have recently identified two mistakes in the R code that they used to estimate the Poisson-Tweedie mixed model (ptmixed) in simulations C and D, whose results are presented in Section 3.3 of the OnlineFirst version of the article. Therefore, they have proceeded to rerun such simulations with the corrected code, and to update the results of Section 3.3 accordingly. The amended results of simulations C and D will be published in the onlinefirst version of the article and the subsequent issue in which it is published.
泊松-特威迪混合效应模型的勘误:纵向RNA-seq数据分析的灵活方法
Mirko Signorelli、Pietro Spitali和Roula Tsonaka的“Poisson–Tweedie混合效应模型:纵向RNA-seq数据分析的灵活方法”发表在《统计建模》上,Onlinefirst,2020年8月24日,DOI:10.1177/1417082X20936017。作者最近发现了R代码中的两个错误,他们在模拟C和D中用于估计Poisson-Tweedie混合模型(ptmixed),其结果在文章的OnlineFirst版本的第3.3节中给出。因此,他们已着手用修正后的代码重新运行此类模拟,并相应地更新第3.3节的结果。模拟C和D的修正结果将发表在文章的在线第一版和随后发表的版本中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Statistical Modelling
Statistical Modelling 数学-统计学与概率论
CiteScore
2.20
自引率
0.00%
发文量
16
审稿时长
>12 weeks
期刊介绍: The primary aim of the journal is to publish original and high-quality articles that recognize statistical modelling as the general framework for the application of statistical ideas. Submissions must reflect important developments, extensions, and applications in statistical modelling. The journal also encourages submissions that describe scientifically interesting, complex or novel statistical modelling aspects from a wide diversity of disciplines, and submissions that embrace the diversity of applied statistical modelling.
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