University of Helsinki








Fabian J. Hoti

Head of Statistics
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. Korhonen, M. Kuoppamäki, T. Prami, F. Hoti, S. Cristopher, J. Ellmèn, V. Aho, M. Vahteristo, E. Pukkala, and J. Haukka. Entacapone and prostate cancer risk in patients with parkinson's disease. Mov Disord, 2015. Available online.

  • 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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