Work

An Approach to Analyze Longitudinal Zero-Inflated Microbiome Count Data Using Two-Stage Mixed Effects Models

Year: 2020

Type: article

Source: Statistics in Biosciences

DOI: 10.1007/s12561-020-09295-y

Authors: Jian Wang, Cielito C. Reyes-Gibby, Sanjay Shete

Institution: The University of Texas MD Anderson Cancer Center

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Cancer Prevention and Research Institute of Texas, National Cancer Institute, National Institute of Allergy and Infectious Diseases, National Institute of Dental and Craniofacial Research

Awards: CPRIT Cancer Prevention Research Training Program, Novel analysis of association between microbiome and treatment infection in AML, Molecular Epidemiology of Neuropathic Pain in Head and Neck Cancer, Composition and temporal changes of the oral microbiome in head and neck cancer patients at high risk for oral mucositis, Cancer Center Support Grant

OpenAlex ID: W3091118155

FWCI: 0.705

Cites: 51

Cited by: 5

Related to: 10