Work

Properties of analysis methods that account for clustering in volume–outcome studies when the primary predictor is cluster size

Year: 2006

Type: article

Source: Statistics in Medicine

DOI: 10.1002/sim.2657

Authors: Katherine S. Panageas, Deborah Schrag, A. Russell Localio, E. S. Venkatraman, Colin B. Begg

Institutions: Memorial Sloan Kettering Cancer Center, University of Pennsylvania

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: National Institutes of Health, National Cancer Institute

Awards: Analysis Methods for Volume-Outcome Studies, G622173196

OpenAlex ID: W2122801108

FWCI: 1.887

Cites: 48

Cited by: 47

Related to: 10