Work

Modeling incomplete longitudinal and cross-sectional data using latent growth structural models

Year: 1992

Type: article

Source: Experimental Aging Research

DOI: 10.1080/03610739208253917

Authors: J. J. Mcardle, Fumiaki Hamagami

Institution: University of Virginia

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: closed

Funder: National Institute on Aging

Award: G5570911404

OpenAlex ID: W2075231192

FWCI: 2.318

Cites: 46

Cited by: 179

Related to: 10