The use of logistic regression in the ovarian cancer diagnostics

• Authors: Sompolska-Rzechuła Agnieszka , Machowska-Szewczyk Małgorzata , Chudecka-Głaz Anita , Cymbaluk-Płoska Aneta , Menkiszak Janusz
• Languages of publication: EN

Abstracts

EN

In the present elaboration an attempt has been made to build the logit model which makes it possible to specify the probability of diagnosing the ovarian carcinoma in the female patients with pathological lesion in the ovary. Based on sampling of 210 patients treated and diagnosed at the Teaching Hospital of Operative Gynaecology and Gynaecological Oncology of Women and Girls of the Pomeranian Medical University, the evaluations of the parameters of two logit models were determined and the estimation of the quality of obtained models was made. The obtained results may contribute to supporting of the ovarian cancer diagnostics.

Keywords

EN

logit model; classification quality of female patients; ovarian cancer

• Publisher: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
• Journal: Econometrics. Ekonometria. Advances in Applied Data Analytics
• Year: 2014
• Issue: 3(45)
• Pages: 151-164

Contributors

author

Sompolska-Rzechuła Agnieszka

author

Machowska-Szewczyk Małgorzata

author

Chudecka-Głaz Anita

author

Cymbaluk-Płoska Aneta

author

Menkiszak Janusz

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