Vertaile menetelmiä
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| Ristiintaulukointianalyysi× | Logistinen regressio× | |
|---|---|---|
| Tieteenala≠ | Tilastotiede | Tutkimuksen tilastomenetelmät |
| Menetelmäperhe≠ | Hypothesis test | Process / pipeline |
| Syntyvuosi≠ | 1900 | 1958 |
| Kehittäjä≠ | Karl Pearson | David Roxbee Cox |
| Tyyppi≠ | Descriptive and inferential categorical analysis | Method |
| Alkuperäislähde≠ | Pearson, 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 ↗ |
| Rinnakkaisnimet≠ | crosstab, contingency table analysis, two-way frequency table, bivariate frequency analysis | logit model, binomial logistic regression, LR |
| Liittyvät≠ | 5 | 3 |
| Tiivistelmä≠ | Cross-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. |
| ScholarGateAineisto ↗ |
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