FROM RISK FACTORS TO PREDICTION: BINARY LOGISTIC REGRESSION FOR ENDOMETRIAL CANCER IN A SIMULATED CLINICAL DATASET

In this paper we discuss about a well-known method for qualitative data analysis – the binary logistic regression. We present the theoretical foundations of this method, conditions for its use and implementation aspects in a statistical software (SPSS 29.0), including predictor selection and process...

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Bibliographic Details
Published in:Romanian Journal of Oral Rehabilitation
Main Authors: Cristina Gena Dascalu, Doriana Agop Forna, Cristina David, Magda Ecaterina Antohe
Format: Article
Language:English
Published: Romanian Society of Oral Rehabilitation 2025-06-01
Online Access:https://rjor.ro/from-risk-factors-to-prediction-binary-logistic-regression-for-endometrial-cancer-in-a-simulated-clinical-dataset/

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https://rjor.ro/from-risk-factors-to-prediction-binary-logistic-regression-for-endometrial-cancer-in-a-simulated-clinical-dataset/

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