An efficient and exact approach for detecting trends with binary endpoints
Year: 2011
Type: article
Source: Statistics in Medicine
DOI: 10.1002/sim.4411
Institution: University at Buffalo, State University of New York
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W1963507380