Causality, study design and missing data


Professor of Statistics
Department of Mathematics and Statistics
University of Jyväskylä

Email: firstname.lastname@iki.fi

Juha Karvanen

Recent news

Causality

Science aims to find causal relations.

Study design

Scientific studies, both experimental or observational, should be cost-efficient.

Missing data

Real data are usually incomplete data.

Reseach

Mind map of past and current research topics (click to enlarge)
Mind map of research topics

Tweets

Non-participation in health examination surveys

A joint project between University of Jyväskylä and National Institute of Health and Welfare aims to solve problems caused by the decline of participation rates in health examination surveys. Read more

Causal models with design

Causal models with design describe the study design and the missing data mechanism together with the causal structure and allow the direct application of causal calculus. Read more

Cost-efficient design of observational studies

Who to measure, what to measure and when to measure in observational studies? Read more

Cost-efficient design of experiments

How to allocate resources optimally in experimental studies? Read more

Estimation of customer lifetime value

How to estimate the future profits for a company? Read more

Work experience

  • University of Jyväskylä, professor of statistics, 2012–
  • Nokia Corporation, 2009–2012, senior analyst, consumer analytics 2009–2011; senior manager, statistical forecasting 2012.
  • National Institute for Health and Welfare (earlier National Public Health Institute), statistician, 2004–2009.
  • University of Regensburg (Germany), visiting researcher, 2004.
  • RIKEN Brain Science Institute (Japan), researcher, 2003–2004.
  • Helsinki University of Technology, researcher, 1999–2003.
  • University of Pennsylvania (USA), visiting scholar, 2001.
  • Orion Pharma, biostatistician, 1998–1999.
  • Statistics Finland (Tilastokeskus), trainee, 1997.
  • Tampere University of Technology, research assistant, 1997.
  • Title of Docent in statistics, University of Tampere, January 2008–
  • Title of Docent in statistics, University of Helsinki, June 2008–

Education

  • D.Sc. (Tech.) (Statistical signal processing), Helsinki University of Technology 2002.
  • M.Sc. (Statistics), University of Tampere 1998.

Publications

Manuscripts

  1. S. Tikka, J. Karvanen, Simplifying probabilistic expression in causal inference, Submitted, 2016.
  2. J. Reinikainen, J. Karvanen, Bayesian subcohort selection for longitudinal covariate measurements in follow-up studies, Submitted, arXiv:1609.01547, 2016.
  3. J. Karvanen, Estimating complex causal effects from incomplete observational data. Submitted, arXiv:1403.1124 [stat.ME], 2014.

Journal Papers

Accepted / In press


  1. J. Karvanen, M. J. Sillanpää, Prioritizing covariates in the planning of future studies in the meta-analytic framework. Accepted for publication in Biometrical Journal, 2016.
  2. J. Karvanen, H. Tolonen, T. Härkänen, P. Jousilahti, K. Kuulasmaa Selection bias was reduced by recontacting non-participants, Journal of Clinical Epidemiology, doi:10.1016/j.jclinepi.2016.02.026, 2016.
      
  3. S. Tikka, J. Karvanen, Identifying causal effects with the R package causaleffect. Accepted for publication in Journal of Statistical Software, 2015.
  4. J. Reinikainen, J. Karvanen, H. Tolonen, Optimal selection of individuals for repeated covariate measurements in follow-up studies. Statistical Methods in Medical Research, 2014. DOI: 10.1177/0962280214523952
  5. 2016


  6. T. Härkänen, J. Karvanen, H. Tolonen, R. Lehtonen, K. Djerf, T. Juntunen, S. Koskinen, Systematic handling of missing data in complex study designs - experiences from the Health 2000 and 2011 Surveys. Journal of Applied Statistics, 43:15, 2772-2790, 2016.
  7. A. Dehghan, J. C. Bis , C. C. White , A. Vernon Smith , A. C. Morrison , L. A. Cupples, S. Trompet, D. I. Chasman, T. Lumley, U. Völker, B. M. Buckley, J. Ding, M. K. Jensen, A. R. Folsom, S. B. Kritchevsky, C. J. Girman, I. Ford, M. Dörr, V. Salomaa, A. G. Uitterlinden, G. Eiriksdottir, R. S. Vasan, N. Franceschini, C. L. Carty, J. Virtamo, S. Demissie, P. Amouyel, D. Arveiler, S. R. Heckbert, J. Ferrières, P. Ducimetière, N. L. Smith, Y. A. Wang, D. S. Siscovick, K. M. Rice, P.-G. Wiklund, K. D. Taylor, A. Evans, F. Kee, J. I. Rotter, J. Karvanen, K. Kuulasmaa, G. Heiss, P. Kraft, L. J. Launer, A. Hofman, M. R. P. Markus, L. M. Rose, K. Silander, P. Wagner, E. J. Benjamin, K. Lohman, D. J. Stott, F. Rivadeneira, T. B. Harris, D. Levy, Y. Liu, E. B. Rimm, J. W. Jukema, H. Völzke, P. M. Ridker, S. Blankenberg , O. H. Franco , V. Gudnason , B. M. Psaty , E. Boerwinkle , C. J. O'Donnell Genome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium, PLoS ONE 11(3): e0144997. doi:10.1371/journal.pone.0144997, 2016.
  8. J. Reinikainen, J. Karvanen, H. Tolonen, How many longitudinal covariate measurements are needed for risk prediction?. Journal of Clinical Epidemiology, Volume 69, pages 114-124, doi:10.1016/j.jclinepi.2015.06.022, 2016.
  9. O. Spjuth, M. Krestyaninova, J. Hastings, H. Shen, M. Waldenberger, A. Langhammer, C. Ladenwall, M.-Å. Persson, T. Esko, J. Heggland, J. Dietrich, S. Ose, C. Gieger, J. Ried, A. Peters, I. Fortier, E. de Geus, J. Heikkinen, J. Klovins, L. Zaharenko, G. Willemsen, J.-J. Hottenga, J.-E. Litton, J. Karvanen, D. Boomsma, L. Groop, N. Pedersen, M. McCarthy, C. van Duijn, K. Hveem, A. Metspalu, S. Ripatti, I. Prokopenko, J. Palmgren, J. Harris, and J. Rung, Harmonizing and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research. European Journal of Human Genetics, Volume 24, pages 521-528, doi: 10.1038/ejhg.2015.165, 2016.
    2015


  10. J. Karvanen, Study design in causal models. Scandinavian Journal of Statistics, Volume 42, Issue 2, pages 361-377, DOI: 10.1111/sjos.12110, 2015.
  11. J. Kopra, T. Härkänen, H. Tolonen, J. Karvanen, Correcting for nonignorable missingness in smoking trends. Stat, Volume 4, Issue 1, pages 1-14, DOI: 10.1002/sta4.73, 2015.
  12. J. Reinikainen, T. Laatikainen, J. Karvanen, H. Tolonen, Lifetime cumulative risk factors predict cardiovascular disease mortality in a 50-year follow-up study in Finland. International Journal of Epidemiology, Volume 44, Issue 1, pages 108-116, DOI: 10.1093/ije/dyu235, 2015.
    2013-2014


  13. J. Karvanen, A. Rantanen, L. Luoma, Survey data and Bayesian analysis: a cost-efficient way to estimate customer equity. Quantitative Marketing and Economics, Volume 12, Issue 3, Pages 305-329, DOI:10.1007/s11129-014-9148-4, 2014.
  14. J. Reinikainen, J. Karvanen, Comment on `Generating survival times to simulate Cox proportional hazards models with time-varying covariates'. Statistics in Medicine, Volume 32(5), page 898, 2013.
  15. V. Wietlisbach, P. Marques-Vidal, K. Kuulasmaa, J. Karvanen, F. Paccaud, The relation of body mass index and abdominal adiposity with dyslipidemia in 27 general populations of the WHO MONICA Project. Nutrition, Metabolism and Cardiovascular Diseases, Volume 23, Issue 5, pages 432–442,2 2013.
    2011-2012


  16. M. F. Hughes, O. Saarela, J. Stritzke, F. Kee, K. Silander,N. Klopp, J. Kontto, J. Karvanen, C. Willenborg, V. Salomaa, J. Virtamo, P. Amouyel, D. Arveiler, J. Ferrières, P.-G. Wiklund, J. Baumert, B. Thorand, P. Diemert, D.-A. Trégouët, C. Hengstenberg, A. Peters, A. Evans, W. Koenig, J. Erdmann, N. J. Samani, K. Kuulasmaa, H. Schunkert, Genetic Markers Enhance Coronary Risk Prediction in Men: The MORGAM Prospective Cohorts, PLoS ONE 7(7): e40922. doi:10.1371/journal.pone.0040922, 2012.
  17. O. Saarela, S. Kulathinal, J. Karvanen, Secondary Analysis under Cohort Sampling Designs Using Conditional Likelihood, Journal of Probability and Statistics, vol. 2012, Article ID 931416, 37 pages, doi:10.1155/2012/931416, 2012.
    2010


  18. A. Borglykke, A. H. Andreasen, K. Kuulasmaa, S. Sans, P. Ducimetière, D. Vanuzzo, M. M. Ferrario, L. Palmieri, J. Karvanen, H. Tunstall-Pedoe, T. Jørgensen; on behalf of the MORGAM Project, Stroke risk estimation across nine European countries in the MORGAM project. Heart, Volume 96(24), pages 1997-2004, 2010.
  19. T. Kunnas, K. Silander, J. Karvanen, M. Valkeapää, V. Salomaa, S. Nikkari, ESR1 genetic variants, haplotypes and the risk of coronary heart disease and ischemic stroke in the Finnish population: A prospective follow-up study. Atherosclerosis,Volume 211, Issue 1, pages 200-202, 2010.
  20. J. Karvanen, O. Saarela, K. Kuulasmaa, Nonparametric multiple imputation of left censored event times in analysis of follow-up data. Journal of Data Science Volume 8, pages 151–172, 2010.
    2009


  21. O. Saarela, S. Kulathinal, J. Karvanen, Joint analysis of prevalence and incidence data using conditional likelihood. Biostatistics, Volume 10, pages 575–587, 2009.
  22. K. Asplund, J. Karvanen, S. Giampaoli, P. Jousilahti, M. Niemelä, G. Broda, G. Cesana, J. Dallongeville, P. Ducimetriere, A. Evans, J. Ferrières, B. Haas, T. Jorgensen, A. Tamosiunas, D. Vanuzzo, P.-G. Wiklund, J. Yarnell, K. Kuulasmaa, S. Kulathinal, for the MORGAM Project, Relative risks for stroke by age, sex and population based on follow-up of 18 European populations in the MORGAM Project. Stroke, Volume 40, pages 2319–2326, 2009.
  23. J. Karvanen, F. E. Harrell Jr., Visualizing covariates in proportional hazards model. Statistics in Medicine, Volume 28, pages 1957–1966, 2009.
  24. J. Karvanen, S. Kulathinal, D. Gasbarra, Optimal designs to select individuals for genotyping conditional on observed binary or survival outcomes and non-genetic covariates. Computational Statistics & Data Analysis, Volume 53, pages 1782–1793, 2009.
  25. Coronary Artery Disease Consortium, Large scale association analysis of novel genetic loci for coronary artery disease. Arteriosclerosis, Thrombosis, and Vascular Biology, Volume 29, pages 774–780, 2009.
  26. J. Karvanen, Approximate cost-efficient sequential designs for binary response models with application to switching measurements. Computational Statistics & Data Analysis, Volume 53, pages 1167–1176, 2009.
  27. J. Karvanen, K. Silander, F. Kee, L. Tiret, V. Salomaa, K. Kuulasmaa, P.-G. Wiklund, J. Virtamo, O. Saarela, C. Perret, M. Perola, L. Peltonen, F. Cambien, J. Erdmann, N. J. Samani, H. Schunkert, A. Evans, for the MORGAM Project, The impact of newly-identified loci on coronary heart disease, stroke and total mortality in the MORGAM prospective cohorts. Genetic Epidemiology, Volume 33, pages 237–246, 2009.
    2008


  28. K. Silander, M. Alanne, K. Kristiansson, O. Saarela, S. Ripatti, K. Auro, J. Karvanen, S. Kulathinal, M. Niemelä, P. Ellonen, E. Vartiainen, P. Jousilahti, J. Saarela, K. Kuulasmaa, A. Evans, M. Perola, V. Salomaa, L. Peltonen, Gender Differences in Genetic Risk Profiles for Cardiovascular Disease, PLoS ONE 3(10): e3615, 2008.
  29. J. Karvanen, Efficient initial designs for binary response dataStatistical Methodology, Volume 5, pages 462–473, 2008.
  30. J. Karvanen, A. Nuutinen, Characterizing the generalized lambda distribution by L-moments. Computational Statistics & Data Analysis, Volume 52, pages 1971–1983, 2008.
    2007


  31. S. Kulathinal, J. Karvanen, O. Saarela, K. Kuulasmaa, for the MORGAM Project, Case-cohort design in practice — experiences from The MORGAM Project. Epidemiologic Perspectives & Innovations 4:15, 2007.
  32. J. Karvanen, G. Veronesi, K. Kuulasmaa, Defining thirds of schooling years in population studies. European Journal of Epidemiology, Volume 22, Number 8, pages 487–492, 2007
  33. J. Karvanen, J. J. Vartiainen, A. Timofeev, J. Pekola, Experimental designs for binary data in switching measurements on superconducting Josephson junctions. Journal of the Royal Statistical Society: Series C (Applied Statistics) 56 (2), 167–181, 2007.
     
    2002-2006


  34. J. Karvanen, Estimation of quantile mixtures via L-moments and trimmed L-moments, Computational Statistics & Data Analysis, Volume 51, Issue 2, pages 947–959, 2006.
    [Quantile mixtures are applied to modeling of stock index returns]
     
  35. J. Karvanen, A resampling test for the total independence of stationary time series: application to the performance evaluation of ICA algorithms, Neural Processing Letters, Volume 22, Number 3, pages 311–324, 2005.
     
  36. Z. Leonowicz, J. Karvanen, S. L. Shiskin Trimmed estimators for robust averaging of event-related potentials, Journal of Neuroscience Methods, Volume 142, Issue 1, pages 17–26, 2005.
  37. J. Karvanen, V. Koivunen Independent component analysis via optimum combining of kurtosis and skewness-based criteria, Journal of the Franklin Institute, Volume 341, Issue 5, pages 401–418, 2004.
  38. J. Karvanen, The statistical basis of laboratory data normalization, Therapeutic Innovation & Regulatory Science, Volume 37, Issue 1, pages 101–107, 2003. [The name of the journal was Drug Information Journal]
  39. J. Karvanen, V. Koivunen, Blind separation methods based on Pearson system and its extensions, Signal Processing, Volume 82, Issue 4, pages 663–673, 2002.
  40. J. Karvanen, J. Eriksson, V. Koivunen, Adaptive score functions for maximum likelihood ICA, Journal of VLSI Signal Processing Systems, Volume 32, pages 83–92, 2002.

Refereed Conference Publications

  1. J. Karvanen, T. Tanaka, Temporal decorrelation as preprocessing for linear and post-nonlinear ICA, Lecture Notes in Computer Science, Volume 3195,  pages 774–781, 2004. (ICA2004, Granada, Spain, September 2004).
  2. Z. Leonowicz, J. Karvanen, T. Tanaka, J. Rezmer, Model order selection criteria: comparative study and applications, Proceedings of the VIth International Workshop ``Computational Problems of Electrical Engineering'' (CPEE 2004), pages 193–196, Zakopane, Poland, September 2004.
  3. J. Karvanen, F. Theis, Spatial ICA of fMRI data in time windows, AIP Conference Proceedings, Volume 735(1) pages 312–319, 2004. (24th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Garching, Germany, July 2004)
  4. J. Karvanen, A. Cichocki, Measuring sparseness of noisy signals, Proceedings of Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, ICA2003, pages 125–130, Nara, Japan, April 2003.
  5. J. Karvanen, Generation of correlated non-Gaussian random variables from independent components, Proceedings of Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, ICA2003, pages 769–774, Nara, Japan, April 2003.
  6. J. Karvanen, V. Koivunen, Blind separation using absolute moments based adaptive estimating function, Proceedings of the Third International Conference on Independent Component Analysis and Signal Separation, ICA2001, pp. 218–223, San Diego, USA, December 2001.
  7. J. Karvanen, V. Koivunen, Blind separation of communication signals using Pearson system based method, Proceedings of The Thirty-Fifth Annual Conference on Information Sciences and Systems, Volume II, pp. 764–767, Baltimore, USA, March 2001.

  8. J. Karvanen, J. Eriksson, V. Koivunen, Maximum likelihood estimation of ICA-model for wide class of source distributions, Proceedings of the 2000 IEEE Workshop on Neural Networks for Signal Processing X, Sydney, Australia, December 2000, pp. 445–454.
  9. J. Karvanen, J. Eriksson, V. Koivunen, Pearson system based method for blind separation, Proceedings of Second International Workshop on Independent Component Analysis and Blind Signal Separation (ICA2000), Helsinki, Finland, June 2000, pp. 585–590

  10. J. Eriksson, J. Karvanen, V. Koivunen, Source distribution adaptive maximum likelihood estimation of ICA model, Proceedings of Second International Workshop on Independent Component Analysis and Blind Signal Separation (ICA2000), Helsinki, Finland, June 2000, pp. 227–232
  11. J. Karvanen, P. Kuosmanen, J. Astola, On output distributions of rational filters in the case of uniform noise, Proceedings of NORSIG'98, IEEE Nordic Signal Processing Symposium, 1998, pp. 145–147

Other publications

  1. P. Neittaanmäki, T. Huttula, J. Karvanen, T. Frisk, J. Tuomisto, A. Simola, T. Tuovinen, J. Ropponen. Unicorn-Open science for assessing environmental state, human health and regional economy. Research Ideas and Outcomes 2: e9232. doi: 10.3897/rio.2.e9232, 2016.
  2. J. Karvanen, A. Luoto. Odottelua pysäkillä (in Finnish, Waiting at the bus stop), Matematiikkalehti Solmu, 3, 2015.
  3. J. Karvanen. Puuttuva tieto ja vilppi (in Finnish, Missing data and fraud), Tieteessä tapahtuu, 1, 2015.
  4. J. Karvanen. Kustannustehokkuus kokeellisessa ja havainnoivassa tutkimuksessa (in Finnish, Cost-efficiency in experimental and observational studies), Tieteessä tapahtuu, 3, 2013.
  5. J. Karvanen. Avoin yritysdata hyödyttäisi yrityksiä ja yliopistoja (in Finnish, Open corporate data would benefit companies and universities), Tietoviikko, 5, 2013.
  6. J. Karvanen, K. Silander, F. Kee, L. Tiret, V. Salomaa, K. Kuulasmaa, P.-G. Wiklund, J. Virtamo, O. Saarela, C. Perret, M. Perola, L. Peltonen, F. Cambien, J. Erdmann, N. J. Samani, H. Schunkert, A. Evans, for the MORGAM Project. The impact of newly-identified loci on coronary heart disease, stroke and total mortality in the MORGAM prospective cohorts: supplement to the paper published in Genetic Epidemiology. Available from URL:http://www.thl.fi/publications/morgam/cardiogenics/index.html, URN:NBN:fi-fe200811052059. 2008.

Theses

  1. J. Karvanen, Adaptive Methods for Score Function Modeling in Blind Source Separation, D. Sc. (Tech.) Thesis, Helsinki University of Technology, August 2002.
  2. J. Karvanen, Stokastiset pisteprosessit ja niiden soveltaminen talouselämässä (in Finnish), Master thesis, University of Tampere, November 1998.

Abstracts, posters and presentations

  1. S. Tikka, J. Karvanen, Simplifying probabilistic expressions in causal inference, 26th Nordic conference in Mathematical statistics (NordStat 2016), Copenhagen, June 2016
  2. J. Karvanen, Visualizing complex study designs, Conference on Complex time-to-event data, Louvain la Neuve, December 2015.
  3. J. Karvanen, A. Rantanen, L. Luoma, Survey data and Bayesian analysis: a cost-efficient way to estimate customer equity, 4th Baltic-Nordic Conference on Survey Statistics (BaNoCoSS-2015), Helsinki, August 2015.
  4. T. Härkänen, J. Karvanen, H. Tolonen, R. Lehtonen, K. Djerf, T. Juntunen, S. Koskinen, Systematic handling of missing data in complex study designs - experiences from the Health 2000 and 2011 Surveys, 4th Baltic-Nordic Conference on Survey Statistics (BaNoCoSS-2015), Helsinki, August 2015.
  5. J. Kopra, T. Härkänen, H. Tolonen, J. Karvanen, Correcting for non-ignorable missingness in health indicator trends, 4th Baltic-Nordic Conference on Survey Statistics (BaNoCoSS-2015), Helsinki, August 2015.
  6. J. Reinikainen, J. Karvanen, Bayesian subcohort selection for longitudinal covariate measurements in follow-up studies, 4th Baltic-Nordic Conference on Survey Statistics (BaNoCoSS-2015), Helsinki, August 2015.
  7. H. Tolonen, J. Karvanen, P. Koponen, E. Vartiainen, K. Kuulasmaa, What can be learned about survey non-response through record linkage? Examples from health examination surveys, 4th Baltic-Nordic Conference on Survey Statistics (BaNoCoSS-2015), Helsinki, August 2015.
  8. J. Karvanen, Population and study design in causal models, 27th International Biometric Conference (IBC2014), Florence, July 2014
  9. J. Karvanen, Nonparametric estimation of nonlinear causal effects from incomplete observational data, 25th Nordic conference in Mathematical statistics (NORDSTAT2014), Turku, June 2014
  10. J. Karvanen, Causal models with design, 4th Nordic-Baltic Biometric Conference (NBBC13), Stockholm, June 2013
  11. J. Reinikainen, J. Karvanen, H. Tolonen, Cost-efficient designs for repeated covariate measurements in follow-up studies, 4th Nordic-Baltic Biometric Conference (NBBC13), Stockholm, June 2013
  12. J. Karvanen, Design and analysis of follow-up studies with genetic component, useR! 2008, Dortmund, August 2008
  13. S. Kulathinal, J. Karvanen, O. Saarela, K. Kuulasmaa MORGAM Case-Cohort Study: Subcohort Selection Procedure and Approaches to Statistical Analysis, GenomEUtwin Scientific Meeting. Rome, 14–15 December, 2006.
  14. J. Karvanen, Visualizing covariates in proportional hazards model using R, useR! 2006, Vienna, June 2006
  15. J. Karvanen, S. Kulathinal, K. Kuulasmaa, Nonparametric multiple imputation of event times for subjects with CHD at baseline in MORGAM genetic study, Twin Research, Volume 7, Number 6, December 2004, pp. 680–689(10), GenomEUtwin Scientific Meeting. Rome, 13–14 December, 2004

Software

  1. rankhazard R package (from CRAN) 2009-2014 (with Nanni Koski since 2014)
  2. PearsonICA R package (from CRAN), 2006
  3. Experimental design for switching measurements, Matlab code, 2005
  4. Lmoments R package (from CRAN), 2005
  5. Generation of correlated non-Gaussian random variables from independent components, Matlab code version 1.1, 2002-2007 (with contributions by Milton Woods)
  6. Pearson-ICA version 1.2, Matlab code, 2000 (with Jan Eriksson and Visa Koivunen)
  7. EGLD-ICA, Matlab code, 2000 (with Jan Eriksson and Visa Koivunen)

Teaching

Courses

Web courses

Current PhD students

  • Juho Kopra
  • Santtu Tikka
  • Lasse Luoma
  • Mikko Niilo-Rämä (primary advisor: Salme Kärkkäinen)

PhD thesis supervised

Master theses supervised

Work as reviewer

Statistics

  • Journal of the American Statistical Association
  • Communications in statistics - Theory and methods
  • Computational Statistics and Data Analysis
  •  Journal of Applied Statistics
  • Journal of Statistical Computation and Simulation
  • Statistical Methodology
  • Test   
  • Journal of Statistical Planning and Inference
  • AStA Advances in Statistical Analysis

Signal processing and neural networks

  • Digital Signal Processing
  • IEEE Transactions on Audio, Speech and Language Processing
  • IEEE Transactions on Circuits and Systems I
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEICE Transactions
  • IEICE TRANS. FUNDAMENTALS Fundamentals of Electronics, Communications and Computer Sciences
  •  International Journal of Adaptive Control and Signal Processing
  • International Journal of Neural Systems
  •  Journal of VLSI Signal Processing Systems
  • Signal Processing
  • Neurocomputing  
  • Biomedical Signal Processing and Control
  • the International Journal of Computational Science and Engineering (IJCSE)

Epidemiology and genetics

  • International Journal of Epidemiology
  • Journal of Clinical Epidemiology
  • European Journal of Human Genetics
  • Human Genetics  
  • BMC Medical Research Methodology
  • European Journal of Cardiovascular Prevention and Rehabilitation

Finance

  • Journal of Empirical Finance  

Grant applications

  • Israel Science Foundation
  • NSA Mathematical Sciences Grant Program