Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Chi-kwadraattoets voor Onafhankelijkheid× | Logistische Regressie× | |
|---|---|---|
| Vakgebied≠ | Statistiek | Onderzoeksstatistiek |
| Familie≠ | Hypothesis test | Process / pipeline |
| Jaar van ontstaan≠ | 1900 | 1958 |
| Grondlegger≠ | Karl Pearson | David Roxbee Cox |
| Type≠ | Nonparametric test of association | Method |
| Oorspronkelijke bron≠ | 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 ↗ |
| Aliassen≠ | chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi | logit model, binomial logistic regression, LR |
| Verwant≠ | 2 | 3 |
| Samenvatting≠ | The chi-square test of independence is a nonparametric hypothesis test that examines whether two categorical variables are associated by comparing observed and expected frequencies in a cross-tabulation. It rests on the chi-square criterion introduced by Karl Pearson in 1900. | 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. |
| ScholarGateGegevensset ↗ |
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