Work

Estimation and testing for clustered interval-censored bivariate survival data with application using the semi-parametric version of the Clayton–Oakes model

Year: 2023

Type: article

Source: Lifetime Data Analysis

DOI: 10.1007/s10985-022-09588-y

Authors: Bernard Rosner, Camden Bay, Robert J. Glynn, Gui-shuang Ying, Maureen G. Maguire, Mei-Ling Ting Lee

Institutions: Harvard University, Brigham and Women's Hospital, University of Pennsylvania, University of Maryland, College Park

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Foundation for the National Institutes of Health, National Eye Institute

Awards: G7746790858, Use of Correlated Data Methods in Ophthalmology, P30 Core Grant For Vision Research

OpenAlex ID: W4317606389

FWCI: 0.203

Cites: 35

Cited by: 1

Related to: 10