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Academic title: M.Sc.
Phone: 00420 585 632 057
Groups: IMTM, LEM, STAFF

About me

After graduation (MSc., Numerical Mathematics) in 1997 I worked as I a system specialist in Přerov Machinery, Přerov, Czech Republic until 1998. Then I came back to my alma mater - Faculty of Sciences, Palacký University in Olomouc, the Department of Mathematical Analysis and Applications of Mathematics where I stayed until 2014. During this period, I earned my Ph.D. in Applied mathematics and concerned on teaching informatics subjects, statistical software and making statistical analyses in cooperation with other departments and faculties of Palacký University as well as external subjects. I had also opportunity to join some courses at Faculty of Medicine and Dentistry where I finally started work as a biostatistician in 2014. My main interest is to statistically solve biomedical problems from preparation phase through laboratory experiments up to clinical trials evaluation.

Journals

Characterization of iron metabolism and erythropoiesis in erythrocyte membrane defects and thalassemia traits. Biomedical Papers of the Medical Faculty of the University Palacký, Olomouc, Czech Republic. 2015, 160(2), 231-237, ISSN: 1213-8118, PMID: 26592557,
VOSTALOVA, J., A. VIDLAR, V. ŠIMÁNEK, A. GALANDÁKOVÁ, P. KOSINA, J. VACEK, J. VRBKOVÁ, B. ZIMMERMANN, J. ULRICHOVÁ, V. STUDENT
Are High Proanthocyanidins Key to Cranberry Efficacy in the Prevention of Recurrent Urinary Tract Infection?. Phytotherapy Research. 2015, 29(10), 1559-1567, ISSN: 0951-418X, PMID: 26268913,
HORAKOVA, D., K. AZEEM, R. BENESOVA, D. PASTUCHA, V. HORÁK, L. DUMBROVSKA, A. MARTINEK, D. NOVOTNY, Z. SVAGERA, M. HOBZOVA, D. GALUSZKOVÁ, V. JANOUT, S. DONEVSKA, J. VRBKOVÁ, H. KOLLAROVA
Total and High Molecular Weight Adiponectin Levels and Prediction of Cardiovascular Risk in Diabetic Patients. International Journal of Endocrinology. 2015, 2015(-), 2015:545068, ISSN: 1687-8337, PMID: 26074960,

Open positions

1 Biostatistics, bioinformatics and chemoinformatics
Project: Methods of semicontinuous data analysis (not only) in proteomics
Supervisors: Vrbková Jana Ph.D.
Available: 1
Intended for: Doctoral training
Summary: Data with clumping at a single value commonly occur in biometrics. Typically, the outcome variable measures an amount that must be non-negative and may in some cases be zero. Semicontinuous data can be viewed as arising from two distinct stochastic processes: one governing the occurrence of zeros and the second determining the observed value condition being a non‐zero response. The aim of the thesis is to describe and compare methods of analyzing semicontinuous data with regards to the application on statistical problems solved at IMTM, e.g. proteomics analyses.
1 Molecular and Translational Medicine
Project: Bioinformatics processing of big data in clinical and preclinical studies
Supervisors: Hajdúch Marián M.D., Ph.D., Pavliš Petr Ph.D., Vrbková Jana Ph.D.
Available: 3
Intended for: Doctoral training