Project Details
Description
Categorical data occur in many fields of application like economics, sociology, medicine or education. Examples for categorical variables are sex, highest educational level, industry sector, legal form of a company, or medical treatment.
As methods designed for metric data are not appropriate for these data, our focus is on statistical methods designed specifically for the analysis of categorical variables like logistic regression, latent class analysis or cluster analysis. Additionally we are interested in joint models for continuous
and categorical response variables and
investigate the measurement of a latent metric variable using different categorical scales.
| Status | Finished |
|---|---|
| Effective start/end date | 01.01.2012 → 31.12.2025 |
Fields of science
- 101024 Probability theory
- 504 Sociology
- 305 Other Human Medicine, Health Sciences
- 106 Biology
- 502 Economics
- 105 Geosciences
- 102009 Computer simulation
- 103 Physics, Astronomy
- 101 Mathematics
- 101018 Statistics
- 101029 Mathematical statistics
- 509 Other Social Sciences
- 504006 Demography
- 305907 Medical statistics
- 502051 Economic statistics
- 504004 Population statistics
- 105108 Geostatistics
- 509013 Social statistics
- 102035 Data science
- 101026 Time series analysis
- 106007 Biostatistics
- 102037 Visualisation
- 303007 Epidemiology
- 303040 Health services research
- 502025 Econometrics
- 504007 Empirical social research
- 101007 Financial mathematics
JKU Focus areas
- Sustainable Development: Responsible Technologies and Management
- Digital Transformation
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From Molecular Signatures to Radiomics: Tailoring Neuro-Oncological Strategies Through Forecasting of Glioma Growth
Rauch, P., Aichholzer, M., Serra, C., Zanier, O., Staartjes, V. E., Böhm, P., Seyer, G., Wagner, H., Manakov, I., Sonnberger, M., Stroh, N., Aspalter, S., Aufschnaiter-Hießböck, K., Rossmann, T., Leibetseder, A., Katletz, S., Gruber, A., Gmeiner, M. & Stefanits, H., Feb 2024, In: Neurosurgical Focus. 56, 2, 9 p., E5.Research output: Contribution to journal › Article › peer-review
Open Access -
Haplotype based testing for a better understanding of the selective architecture
Chen, H., Pelizzola, M. & Futschik, A., 26 Aug 2023, In: BMC Bioinformatics. 24, 1, p. 1-25 26 p., 322.Research output: Contribution to journal › Article › peer-review
Open Access -
Multiple haplotype reconstruction from allele frequency data
Pelizzola, M., Behr, M., Li, H., Munk, A. & Futschik, A., Apr 2021, In: Nature Computational Science. 1, 4, p. 262-271 10 p.Research output: Contribution to journal › Article › peer-review
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Estimation of the largest mean Gaussian mixture component with population genetic applications
Futschik, A. (Speaker)
10 Jun 2025Activity: Talk or presentation › Other talk or presentation › science-to-science
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Beyond the Proportional Hazards Model
Wagner, H. (Speaker)
28 Jun 2024Activity: Talk or presentation › Contributed talk › science-to-science
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Detecting selection using signature kernels: A novel method for multi-locus Wright-Fisher models with recombination
Futschik, A. (Speaker)
18 Jun 2024Activity: Talk or presentation › Contributed talk › science-to-science