Implementation of conditional Logistic regression in case-crossover study in Python

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Author: Qing-Yu ZHANG Pei-Zheng LI Chen-Xi LUO Xiang-Ying LI  Lu MA

Affiliation: School of Public Health, Wuhan University, Wuhan 430071, China

Keywords: Python Conditional Logistic regression Case-crossover study

DOI: 10.12173/j.issn.1004-5511.202302031

Reference: Zhang QY, Li PZ, Luo CX, Li XY, Ma L. Implementation of conditional Logistic regression in case-crossover study in Python[J]. Journal of Mathematical Medicine, 2023, 36(5): 321-325. DOI:10.12173/j.issn.1004-5511.202302031[Article in Chinese]  Copied

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Abstract

Objective To explore the implementation of conditional Logistic regression in Python software for case-crossover study.

Methods The relationship between exposure to air pol-lutant nitrogen dioxide and hospitalization due to pulmonary infection was studied as an example. The conditional Logistic regression model was constructed by using Python to compare the modeling process and statistical analysis results with common statistical software R and SAS.

Results The modeling logic of Python, R and SAS is similar. Compared with the statistical softwares, the modeling language of Python is a little more complicated, and it is also slightly different from SAS in parameter test methods, but the parameter estimation results of the three softwares are identical.

Conclusion Python software could realize conditional Logistic regression analysis, further expanding the applica-tion scenarios of Python in statistical analysis.

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