השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| רגרסיה לוגיסטית× | ניתוח רגרסיה מרובה× | |
|---|---|---|
| תחום | סטטיסטיקה למחקר | סטטיסטיקה למחקר |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 1958 | 1801 |
| הוגה השיטה≠ | David Roxbee Cox | Carl Friedrich Gauss |
| סוג | Method | Method |
| מקור מכונן≠ | Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242. DOI ↗ | Draper, N. R., & Smith, H. (1966). Applied Regression Analysis. John Wiley & Sons. link ↗ |
| כינויים | logit model, binomial logistic regression, LR | MLR, multivariate regression, linear regression |
| קשורות≠ | 3 | 4 |
| תקציר≠ | 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. | Multiple regression analysis is a statistical method for modeling the relationship between a continuous dependent variable and two or more independent variables (predictors). Originating from Gauss's early 19th-century work and formalized by Draper and Smith (1966), it estimates linear equations predicting outcomes from multiple predictors while accounting for confounding relationships, making it indispensable in epidemiology, economics, psychology, and clinical research. |
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