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An empirical comparison of methods for analyzing over-dispersed zero-inflated count data from stratified cluster randomized trials

机译：从分层簇随机试验分析过分分散的零充气计数数据的方法的实证比较

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Sayem Borhan; Courtney Kennedy; George Ioannidis; Alexandra Papaioannou; Jonathan Adachi; Lehana Thabane;
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1. An empirical comparison of methods for analyzing over-dispersed zero-inflated count data from stratified cluster randomized trials [J] . Sayem Borhan, Courtney Kennedy, George Ioannidis, Contemporary Clinical Trials Communications . 2020,第4期

机译：从分层簇随机试验分析过分分散的零充气计数数据的方法的实证比较
2. Sensitivity of methods for analyzing continuous outcome from stratified cluster randomized trials – an empirical comparison study [J] . Sayem Borhan, Rizwana Mallick, Mershen Pillay, Contemporary Clinical Trials Communications . 2019,第2期

机译：分层整群随机试验连续结果分析方法的敏感性–实证比较研究
3. Analyzing clustered count data with a cluster-specific random effect zero-inflated Conway-Maxwell-Poisson distribution [J] . Choo-Wosoba Hyoyoung, Datta Somnath Journal of applied statistics . 2018,第5a8期

机译：使用特定于群集的随机效应零膨胀的Conway-Maxwell-Poisson分布分析群集计数数据
4. Count Regression and Machine Learning Approach for Zero-Inflated Over-Dispersed Count Data. Application to Micro-Retail Distribution and Urban Form [C] . Alessandro Araldi, Alessandro Venerandi, Giovanni Fusco International Conference on Computational Science and Its Applications . 2020

机译：计数回归和机器学习方法，用于零充气过分散计数数据。应用于微零售分布和城市形态
5. Zero-Inflated Negative Binomial (ZINB) regression model for over-dispersed count data with excess zeros and repeated measures, an application to human microbiota sequence data. [D] . Fang, Rui. 2013

机译：零膨胀负二项式（ZINB）回归模型，用于过度分散的计数数据（带有多余的零）和重复测量，适用于人类微生物群序列数据。
6. An empirical comparison of methods for analyzing over-dispersed zero-inflated count data from stratified cluster randomized trials [O] . Sayem Borhan, Courtney Kennedy, George Ioannidis, 2020

机译：分层聚类随机试验中过度分散的零膨胀计数数据分析方法的经验比较
7. Sensitivity of methods for analyzing continuous outcome from stratified cluster randomized trials – an empirical comparison study [O] . Sayem Borhan, Rizwana Mallick, Mershen Pillay, 2019

机译：分层簇随机试验中连续结果分析方法的敏感性 - 经验比较研究
8. Feasibility of Utilizing Cluster Sampling in the Navy: A Demographic Comparison of Cluster and Stratified Random Samples [R] . Newell, C. E. , Dever, J. A. 2004

机译：海军利用集群抽样的可行性：聚类与分层随机样本的人口学比较

An empirical comparison of methods for analyzing over-dispersed zero-inflated count data from stratified cluster randomized trials

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