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On statistical analysis methods improving epidemiological studies

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Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Nowadays almost all the principles of diagnosis and treatment are determined by the statistical analysis of the observations made by practitioners. The analysis of medical data is therefore one of the most important elements that affect the level of modern medical care. The research described in this paper aims to determine the characteristics of cardiac parameters in healthy children and in children with a diagnosis in arterial hypertension. Studies include children in the Lodz region. The purpose of the analysis is to determine risk factors of arterial hypertension and thus early diagnosis of children and as quickly as possible the inclusion of an appropriate treatment or observation. The analysis applies a number of methods, including descriptive analysis, grouping and statistical inference. The choice of methods is consistent with the requirements of the USMLE (The United States Medical Licensing Examination) and depends on the evaluated parameters. The research is carried out using professional statistical packages and the computer system designed and developed for this study. The use this system allows for the continuous process of research staging of new cases, which is a definite advantage when conducting epidemiological studies.
Rocznik
Strony
209--219
Opis fizyczny
Bibliogr. 13 poz.
Twórcy
autor
  • Institute of Information Technology, Lodz University of Technology, Wólczańska 215, 90-924 Łódź
Bibliografia
  • [1] Feber, J. and Ahmed, M., Hypertension in children: new trends and challenges, Clinical Science, Vol. 119, 2010, pp. 151–161.
  • [2] Orlowska-Wlodarczyk, B., Znaczenie badan epidemiologicznych dla rozwoju kardiologii prewencyjnej, Polski Przeglad Kardiologiczny, Vol. 5, No. 1, 2003, pp. 85–89.
  • [3] Zamojska, J., Niewiadomska-Jarosik, K., Wosiak, A., and Stanczyk, J., Ocena funkcji skurczowej lewej komory z wykorzystaniem metody doplera tkankowego u dzieci z nadcisnieniem tetniczym pierwotnym, Polski Przeglad Kardiologiczny, Vol. 14, No. 2, 2012, pp. 95–100.
  • [4] Chang, M., Modern Issues and Methods in Biostatistics, Springer, 2011.
  • [5] Gurka, M. and Edwards, L., Mixed Models for Medical Statistics, In: Essential Statistical Methods for Medical Statistics, edited by C. Rao, J. Miller, and R. D.C., Elsevier, 2011.
  • [6] Hilbe, J. and Greene, W., Count Response Regression Models, In: Essential Statistical Methods for Medical Statistics, edited by C. Rao, J. Miller, and R. D.C., Elsevier, 2011.
  • [7] Prentice, R., Statistical Methods and Challenges in Epidemiology and Biomedical Research, In: Essential Statistical Methods for Medical Statistics, edited by C. Rao, J. Miller, and R. D.C., Elsevier, 2011.
  • [8] Polinski, A., Kot, J., and Meresta, A., Analysis of Correlation Between Heart Rate and Blood Pressure, In: Proceedings of the Federated Conference on Computer Science and Information Systems, 2011, pp. 417–420.
  • [9] Collette, L., Bogaerts, J., Suciu, S., Fortpied, C., Gorlia, T., Coens, C., and et, a., Statistical methodology for personalized medicine: New developments at EORTC Headquarters since turn of the 21st Century, European Journal of Cancer Suplements, Vol. 10, No. 1, 2012, pp. 13–19.
  • [10] Looney, S. and Hagan, J., Statistical Methods for Assessing Biomarkers and Analyzing Biomarkers Data, In: Essential Statistical Methods for Medical Statistics, edited by C. Rao, J. Miller, and R. D.C., Elsevier, 2011.
  • [11] Stanisz, A., Przystepny kurs statystyki z zastosowaniem STATISTICA PL na przykladach z medycyny, Wydawnictwo StatSoft, Krakow, 2006.
  • [12] Cheng, T., Wei, C., and Tseng, V., Feature Selection for Medical Data Mining: Comparisons of Expert Judgment and Automatic Approaches, In: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems, CBMS’06.
  • [13] Moczko, J. and Breborowicz, G., Nie sama biostatyka, Osrodek Wydawnictw Naukowych, Poznan, 2010.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c1116b04-ffe0-4be0-8243-5c64e30ff3e0
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