Fast QLB algorithm and hypothesis tests in logistic model for ophthalmologic bilateral correlated data-Reference-Cited by-同舟云学术

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

Published:2020-10-01 Issue:1 Volume:31 Page:91-107
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Lin Yi-Qi¹,Zhang Yu-Shun²,Tian Guo-Liang²,Ma Chang-Xing³^ORCID

Affiliation:

1. Department of Statistics, The Chinese University of Hong Kong, Shatin, N.T, Hong Kong, P. R. China

2. Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, Guangdong Province, P. R. China

3. Department of Biostatistics, The State University of New York at Buffalo, Buffalo, New York, USA

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10543406.2020.1814794

Reference16 articles.

1. EM algorithms without missing data

2. Intraclass Correlation for Two-by-Two Tables under Three Sampling Designs

3. Monotonicity of quadratic-approximation algorithms

4. Paired Bernoulli Trials

5. Statistical Methods in Ophthalmology: An Adjusted Chi-Square Approach

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2. Testing the Homogeneity of Differences between Two Proportions for Stratified Bilateral and Unilateral Data across Strata;Mathematics;2023-10-03

3. Networked knowledge, combinatorial creativity, and (statistical) innovation;Journal of Biopharmaceutical Statistics;2021-03-04

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