A Study of Age Distribution of Prostate Cancer Detection
Autor: | Suparna Basu, Umesh Singh, Sanjay Kumar Singh |
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Rok vydání: | 2021 |
Předmět: |
0301 basic medicine
Statistical model medicine.disease Confidence interval Data set 03 medical and health sciences Prostate cancer 030104 developmental biology 0302 clinical medicine Bayesian information criterion 030220 oncology & carcinogenesis Statistics medicine Econometrics Akaike information criterion Q–Q plot Statistic Mathematics |
Zdroj: | Journal of Data Science. 14:539-552 |
ISSN: | 1683-8602 1680-743X |
DOI: | 10.6339/jds.201607_14(3).0009 |
Popis: | This paper aims to propose a suitable statistical model for the age distribution of prostate cancer detection. Descriptive studies suggest the onset of prostate cancer after 37 years of age with maximum diagnosis age at around 70 years. The major deficiency of descriptive studies is that the results cannot be generalized for all types of populations usually having non-identical environmental conditions. The proposition follows by checking the suitability of the model through different statistical tools like Akaike Information Criterion, Kolmogorov- Smirnov distance, Bayesian Information Criterion and _χ2 statistic. The Maximum likelihood estimate of the parameters of the proposed model along with their asymptotic confidence intervals have been obtained for the considered real data set. |
Databáze: | OpenAIRE |
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