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Abstract A6: A global sensitivity test for evaluating hypotheses with non- and weakly identifiable statistical models: An application to breast cancer outcomes

Year: 2011

Type: conference-abstract

Source: Cancer Epidemiology Biomarkers & Prevention

DOI: 10.1158/1055-9965.disp-11-a6

Authors: David Todem, Guanqun Cao, Lijian Yang, Jason P. Fine

Institutions: Michigan State University, University of North Carolina at Chapel Hill

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

OpenAlex ID: W2044505150

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