The use of logistic regression in the ovarian cancer diagnostics
The use of logistic regression in the ovarian cancer diagnostics
Author(s): Małgorzata Machowska-Szewczyk, Anita Chudecka-Głaz, Janusz Menkiszak, Aneta Cymbaluk-Płoska, Agnieszka Sompolska-RzechułaSubject(s): Economy
Published by: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Keywords: logit model; classification quality of female patients; ovarian cancer
Summary/Abstract: 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.
Journal: Ekonometria
- Issue Year: 2014
- Issue No: 45
- Page Range: 151-164
- Page Count: 14
- Language: English
