Fast QLB algorithm and hypothesis tests in logistic model for ophthalmologic bilateral correlated data.

Lin, Yi-Qi; Zhang, Yu-Shun; Tian, Guo-Liang; Ma, Chang-Xing

Lin, Yi-Qi; Zhang, Yu-Shun; Tian, Guo-Liang; Ma, Chang-Xing.

Affiliation

Lin YQ; Department of Statistics, The Chinese University of Hong Kong, Shatin, N.T, Hong Kong, P. R. China.
Zhang YS; Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, Guangdong Province, P. R. China.
Tian GL; Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, Guangdong Province, P. R. China.
Ma CX; Department of Biostatistics, The State University of New York at Buffalo, Buffalo, New York, USA.

J Biopharm Stat ; 31(1): 91-107, 2021 01 02.

Article in En | MEDLINE | ID: mdl-33001745

Subject(s)

Algorithms; Research Design; Computer Simulation; Humans; Likelihood Functions; Logistic Models

Key words

Assembly and decomposition technique; MM algorithm; bilateral correlated data; fast QLB algorithm; logistic regression model; ophthalmologic study

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Research Design / Algorithms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Biopharm Stat Journal subject: FARMACOLOGIA Year: 2021 Type: Article

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