เปรียบเทียบวิธี

	การถดถอยโลจิสติก	การทดสอบของ McNemar
สาขาวิชา	สถิติการวิจัย	สถิติศาสตร์
ตระกูล	Process / pipeline	Hypothesis test
ปีกำเนิด	1958	1947
ผู้ริเริ่ม	David Roxbee Cox	Quinn McNemar
ประเภท	Method	Nonparametric test for paired binary data
แหล่งต้นตำรับ	Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242.	McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157.
ชื่อเรียกอื่น	logit model, binomial logistic regression, LR	McNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi
ที่เกี่ยวข้อง	3	5
สรุป	Logistic regression is a statistical method for modeling the probability of a binary outcome (disease present/absent, success/failure) as a function of continuous and categorical predictors. Developed by David Roxbee Cox (1958), it solves the problem of predicting categorical outcomes by applying a logistic transformation to constrain predictions to the [0,1] probability interval, enabling accurate risk stratification, diagnostic prediction, and causal inference in epidemiology, medicine, and social science.	McNemar's test is a nonparametric hypothesis test that compares two paired (correlated) binary proportions, such as a yes/no measurement taken on the same subjects before and after an intervention. It was introduced by Quinn McNemar in 1947 and works on the 2×2 table of matched outcomes.