Marginal analysis of multiple outcomes with informative cluster size-Reference-Cited by-同舟云学术

Marginal analysis of multiple outcomes with informative cluster size

Published:2020-03-05 Issue:1 Volume:77 Page:271-282
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Mitani A. A.¹^ORCID,Kaye E. K.²,Nelson K. P.³^ORCID

Affiliation:

1. Department of Biostatistics Harvard T. H. Chan School of Public Health Boston Massachusetts

2. Department of Health Policy & Health Services Research Boston University Henry M. Goldman School of Dental Medicine Boston Massachusetts

3. Department of Biostatistics Boston University School of Public Health Boston Massachusetts

Funder

National Institute of Dental and Craniofacial Research

National Cancer Institute

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13241

Reference23 articles.

1. Cluster adjusted regression for displaced subject data (CARDS): Marginal inference under potentially informative temporal cluster size profiles

2. Bivariate Latent Variable Models for Clustered Discrete and Continuous Outcomes

3. An alternative approach to the analysis of longitudinal data via generalized estimating equations

4. On eliminating the asymptotic bias in the quasi-least squares estimate of the correlation parameter

5. Pattern–mixture models with incomplete informative cluster size: application to a repeated pregnancy study

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