University of Helsinki








Fabian J. Hoti

Data Analyst & Senior Statistician
at EPID Research Oy

My Phd thesis
Titled "Studies in Computational Statistical Methods with Applications to Pattern Recognition and Data Analysis"
Computational statistics with applications in life sciences

- Register based pharmacoepidemiological research
- Statistical modelling of longitudinal epidemiological data.
- Gene mapping methods
- Exploratory analyses of high dimensional data sets.

Refereed Publications
  • P. Tuomikoski, H. Lyytinen, P. Korhonen, F. Hoti, P. Vattulainen, M. Gissler, O. Ylikorkala, and S. Mikkola. Coronary heart disease mortality and hormone therapy before and after the women's health initiative. Obstet Gynecol, 124:947-953, 2014.

  • J. Haukka, F. Hoti, P. Erästö, T. Saukkonen, S. Mäkimattila, and P. Korhonen. Evaluation of the incidence and risk of hypoglycemic coma associated with selection of basal insulin in the treatment of diabetes. Pharmacoepidemiology and Drug Safety., 2013. Available online.

  • D. Pessoa, F. Hoti, R. Syrjänen, R. Sá-Leão, T. Kaijalainen, M.G. Gomes, and K. Auranen. Comparative analysis of Streptococcus pneumoniae transmission in Portuguese and Finnish day-care centres. BMC Infectious Diseases, 13:180, 2013. Available online.

  • P. Erästö, F. Hoti, and K. Auranen. Modeling transmission of multitype infectious agents - application to carriage of Streptococcus pneumoniae. Statistics in Medicine, 2012. Available online doi: 10.1002/sim.4487.

  • E. Urgard, T. Vooder, U. Võsa, K. Välk, M. Liu, C. Luo, F. Hoti, R. Roosipuu, T. Annilo, J. Laine, C.M. Frenz, L. Zhang, and A. Metspalu. Metagenes associated with survival in non-small cell lung cancer. Cancer Informatics, 10:1-9, 2011. Available online.

  • A.M. Bauer, F. Hoti, T.C. Reetz, W-D. Schuh, J. Léon, and M.J. Sillanpää. Bayesian prediction of breeding values by accounting for genotype-by-environment interaction in self-pollinating crops. Genetics Research, 91:193-207, 2009. Available online.

  • A.M. Bauer, F. Hoti, M. von Korff, K. Pillen, J. Léon, and M.J. Sillanpää. Advanced backcross-QTL analysis in spring barley (H. vulgare ssp. spontaneum) comparing a REML vs. a bayesian model in multi-environmental field trials. Theoretical and Applied Genetics, 119:105-123, 2009. Available online doi:10.1007/s00122-009-1021-6.

  • P. Erästö, F. Hoti, S. Granat, Z. Mia, P. Mäkelä, and K. Auranen. Modelling multi-type transmission of pneumococcal carriage in bangladeshi families. Epidemiology and Infection, 12:1-12, 2009.

  • F. Hoti, P. Erästö, T. Leino, and K. Auranen. Outbreaks of Streptococcus pneumoniae carriage in day care cohorts in Finland- implications for elimination of transmission. BMC Infectious Diseases, 9:102, 2009. Available online.

  • T. Leino, F. Hoti, R. Syrjänen, A. Tanskanen, and K. Auranen. Clustering of serotypes in a longitudinal study of Streptococcus pneumoniae carriage in three day care centres. BMC Infectious Diseases, 8:173, 2008. Available online.

  • P. Waldmann, J. Hallander, F. Hoti, and M. J. Sillanpää. Efficient Markov chain Monte Carlo implementation of Bayesian analysis of additive and dominance genetic variances in non-inbred pedigrees. Genetics, 179:1101-1112, June 2008. Abstract.

  • M. J. Sillanpää and F. Hoti. Mapping quantitative trait loci from a single tail sample of the phenotype distribution including survival data. Genetics, 177:2361-2377, December 2007. Abstract.

  • F. Hoti and M. J. Sillanpää. Bayesian mapping of genotype × expression interactions in quantitative and qualitative traits. Heredity, 97:4-18, 2006. Available online doi:10.1038/sj.hdy.6800817.

  • L. Holmström and F. Hoti. Application of semiparametric density estimation to classification. In ICPR2004, Proceedings of the 2004 International Conference on Pattern Recognition, August 23-26, 2004. presentation slides.

  • F. Hoti and L. Holmström. A semiparametric density estimation approach to pattern classification. Pattern Recognition, 37:409-419, 2004. Available online.

  • F. Hoti, A. Tuulio-Hendriksson, J. Haukka, T. Partonen, L. Holmström, and J. Lönnqvist. Family-based clusters of cognitive test performance in familial schizophrenia. BMC Psychiatry, 4:20, 2004. Available online.

  • F. Hoti and L. Holmström. On the estimation error in binned local linear regression. Journal of Nonparametric Statistics, 15(4-5):625-642, 2003. Abstract.

  • F.J. Hoti, M.J. Sillanpää, and L. Holmström. A note on estimating the posterior density of a quantitative trait locus from a Markov chain Monte Carlo sample. Genetic Epidemiology, 22:369-376, 2002. Abstract.

  • F. Hoti and L. Holmström. Reduced kernel regression for fast classification. In P. Brenner L. Arkeryd, J. Rergh and R. Pettersson, editors, Progress in Industrial Mathematics at ECMI 98, pages 405-412. B.G. Teubner Stuttgart - Leipzig, 1999. pdf-file.

  • L. Holmström and F. Hoti. Radial basis function classification as computationally efficient kernel regression. In IJCNN '98, Proceedings of the 1998 IEEE International Joint Conference on Neural Networks, Anchorage, Alaska, May 4-9, volume 2, pages 1305-1310, 1998.

Complete list of Publications

Supplementary information

Matlab implementation of the kernel density estimator (KDE) for the paper "A note on estimating the posterior density of a quantitative trait locus from a Markov chain Monte Carlo sample". Both the binned and the unbinned version in 1-d.
(See Genetic Epidemiology)

Supplementary information to the paper "Family-based clusters of cognitive test performance in familial schizophrenia "

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