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Abstrakty
The present paper describes how the grade approach has been applied to investigate a dataset from diagnostic questionnaires and scales obtained after completion of clinical therapy. It is shown that more regular copula data structures are observed after therapy. Grade methodology gives a valuable insight into effects of therapy. Moreover, grade exploration reveals new hidden variables and splits the questionnaire data into four more regularly monotone dependent segments, closely connected with level of improvement and external or internal controllability. Finally, two sets of homogeneous and ordered clusters of patients obtained before therapy as well as four segments obtained after therapy receive characterizations from the therapy effectiveness point of view, which may be useful in future medical therapeutic decisions. All analyses were performed using the GradeStat program.
Wydawca
Czasopismo
Rocznik
Tom
Strony
41--53
Opis fizyczny
Bibliogr. 6 poz., tab., wykr.
Twórcy
autor
autor
- Institute of Mathematics, Maria Curie-Skłodowska University, pl. M. Curie-Skłodowskiej 1, 20-031 Lublin, Poland, welcz@hektor.umcs.lublin.pl
Bibliografia
- 1. Wolińska-Welcz A., Welcz H.: Grade Approach to the Analysis of Questionnaires and Clinical Scales Data. Biocybernetics and Biomedical Engineering 2009, 29, 2, 59-71.
- 2. Rotter J. B.: Generalized Expectancies for Internal Versus External Control of Reinforcement. Psychological Monographs, 1966, 80, 1.
- 3. Aleksandrowicz J. W. et al.: Symptoms Check List "S" and "O" - Tools Used for Diagnosis and Description of Neurotic Disorders" (in Polish). Psychoterapia, 1981, 37, 11-27.
- 4. Kowalczyk T., Pleszczyńska E., Ruland F. (Eds.): Grade Models and Methods for Data Analysis. With Applications for the Analysis of Data Populations. Berlin, Springer Verlag, 2004.
- 5. Pleszczyńska E., Szczesny W.: Grade Exploratory Methods Applied to Some Medical Data Sets. Biocybernetics and Biomedical Engineering 2002, 22, 1, 17-30.
- 6. Pleszczyńska E.: Application of Grade Methods to Medical Data: New Examples. Biocybernetics and Biomedical Engineering 2007, 27, 3, 77-93.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ1-0059-0014