Work

Nonparametric and Semiparametric Estimation with Sequentially Truncated Survival Data

Year: 2022

Type: article

Source: Biometrics

DOI: 10.1111/biom.13678

Authors: Rebecca A. Betensky, Jing Qian, Jingyao Hou

Institutions: New York University, University of Massachusetts Amherst

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: closed

Funders: Harvard NeuroDiscovery Center, Harvard Catalyst, National Institute on Aging, National Cancer Institute, National Institute of Neurological Disorders and Stroke

Awards: G2242022693, Statistical methods for censored and dependently truncated data, G4521253284, G4989585049, G55468804, Statistical Methods for Analysis of Failure Time Data, G6556098927, Massachusetts Alzheimer's Disease Research Center, G7644981513, Impact of Amyloid and Tau on the Aging Brain: The Harvard Aging Brain Study

OpenAlex ID: W4224034051

FWCI:

Cites: 25

Cited by: 1

Related to: 10