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Pregled bibliografske jedinice broj: 56191

Holistic approach to analysis of medical data - ovarian cancer

Rudan, Igor; Buković, Damir; Ivanišević, Marina; Rubala, Drago; Rudan, Diana
Holistic approach to analysis of medical data - ovarian cancer // Collegium Antropologicum, 20 (1996), 2; 469-478 (međunarodna recenzija, članak, znanstveni)

Holistic approach to analysis of medical data - ovarian cancer

Rudan, Igor ; Buković, Damir ; Ivanišević, Marina ; Rubala, Drago ; Rudan, Diana

Collegium Antropologicum (0350-6134) 20 (1996), 2; 469-478

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Medical data analysis; ovarian cancer; population genetics; anthropology

Besides the information regarding his/her disease, each hospitalized cancer patient also provides the variety of data regarding his/her psychological, cultural, social, economical, genetic, constitutional and medical background The aim of this study was to introduce a model for holistic approach to analysis of medical data, in this case clinical ovarian cancer data. The model requires the collection of as many such data as possible for each patient in the sample, and after the satisfactory sample size is obtained (which should be at least five times greater than the number of examined patient characteristics), the performance of factor analysis. As the example of the application, the authors have processed the data regarding 25 characteristics of 500 ovarian cancer patients treated between 1980 and 1990 at the Department for Gynecological Oncology of the University Hospital for Gynecology and Obstetrics, Zagreb, Croatia. In factor analysis the principal components should be rotated after the initial extraction (the authors recommend the use of oblimin rotation) in, order to obtain better ground for interpretation of the obtained results. The next step in this model is the stepwise exclusion of characteristics with smallest communalities according to Kaiser-Meyer-Olkin criteria, and retaining the characteristics and components with the most significant impact on the explained system variance. When the number of principal components and initial analyzed characteristics is reduced to 3-4 and 7-10, respectively, the ultimate interpretations and conclusions should be made.

Izvorni jezik

Znanstvena područja
Kliničke medicinske znanosti, Etnologija i antropologija


Časopis indeksira:

  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus

Uključenost u ostale bibliografske baze podataka:

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  • International Bibliography of Social and Cultural Anthropology
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