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Krydstabelanalyse×Logistisk regression×
FagområdeStatistikForskningsstatistik
FamilieHypothesis testProcess / pipeline
Oprindelsesår19001958
OphavspersonKarl PearsonDavid Roxbee Cox
TypeDescriptive and inferential categorical analysisMethod
Oprindelig kildePearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, 50(302), 157–175. DOI ↗Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242. DOI ↗
Aliassercrosstab, contingency table analysis, two-way frequency table, bivariate frequency analysislogit model, binomial logistic regression, LR
Relaterede53
ResuméCross-tabulation analysis (contingency table analysis) is a foundational descriptive and inferential technique for examining the relationship between two or more categorical variables. It arranges observed frequencies into a table of rows and columns, enabling visual inspection of patterns and formal chi-square testing of independence between the variables.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.
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ScholarGateSammenlign metoder: Cross-tabulation analysis · Logistic Regression. Hentet 2026-06-17 fra https://scholargate.app/da/compare