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Audrone Jakaitiene is Professor and Chief Researcher at Vilnius university. Prior to this, she held a position as Senior Economist at the Bank of Lithuania. She has also worked as Senior Expert (Economist) for European Central Bank. Dr Jakaitiene is member of European Statistical Advisory Committee (ESAC), Board member of Lithuanian Statistical Society; Lithuania’ representative at International Biometric Society as well as member of Lithuanian Mathematical Society and International Epidemiology Association. She conducts research in the fields such as econometrics, biostatistics and statistics of education. Audrone Jakaitiene was conferred her Bachelor, Master in applied Mathematics from Vytautas Magnus University and Ph.D. in Informatics from the Vytautas Magnus University and Institute of Mathematics and Informatics (joined program).
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Identification

Personal identification

Full name
Audrone Jakaitiene
Gender
Female

Citation names

  • Jakaitiene, Audrone

Author identifiers

Ciência ID
901A-9D54-F1BC
ORCID iD
0000-0001-6417-477X

Addresses

  • Akademijos str. 4, LT-08412, Vilnius, Vilnius, Lithuania (Professional)

Knowledge fields

  • Exact Sciences - Mathematics - Statistics and Probability

Languages

Language Speaking Reading Writing Listening Peer-review
Lithuanian (Mother tongue)
English Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2)
German Elementary (A2) Intermediate (B1) Elementary (A2) Intermediate (B1) Beginner (A1)
Affiliation

Science

Category
Host institution 		Employer
2008/09/01 - Current Principal Investigator (Research) Vilniaus Universitetas, Lithuania
Projects

Grant

Designation Funders
2018 - 2021 Effectiveness and Efficiency Analysis of Education Systems in EU Countries Employing Secondary Big Data
DOTSUT-39 (09.3.3-LMT-K-712-01-0018) / LSS-250000-57
 European Social Fund
2015 - 2017 Modelling the status and causing factors of Lithuanian education system
MIP-024/2015
 Research council Lithuania
2011 - 2014 Genetic diversity of the population of Lithuania and changes of its genetic structure associated with evolution and common diseases (LITGEN)
VP1-3.1-SMM-07-K-01-013
 European Social Fund
2009 - 2011 Teaching, research, innovation in computing education
142399-LLP-1-2008-1-BG-ERASMUS-ENW
 Erasmus Plus
Outputs

Publications

Book
  1. Jakaitiene, A.; Sangiovanni, M.; Guarracino, M.R.; Pardalos, P.M.. Multidimensional scaling for genomic data. 2016.
    10.1007/978-3-319-29975-4_7
Book chapter
  1. Jakaitiene, A.. "Nonlinear regression models". 731-737. 2018.
Conference paper
  1. Jakaitiene, A.; Zilinskas, A.. "Dynamic stochastic optimisation using endogenous gridpoints for consumption in Lithuania". 2010.
    10.1145/1839379.1839428
  2. Jakaitiene, Audrone. "The most appropriate model to estimate Lithuanian business cycle". 2006.
    {10.1142/9789812772954\_0019}
Journal article
  1. Želvys, R.; Dukynaite, R.; Vaitekaitis, J.; Jakaitiene, A.. "School Leadership And Educational Effectiveness: Lithuanian Case In Comparative Perspective.". Management (Croatia) 24 Special Is (2019): 17-36. http://www.scopus.com/inward/record.url?eid=2-s2.0-85071689523&partnerID=MN8TOARS.
    10.30924/mjcmi.24.si.2
  2. Stumbriene, D.; Camanho, A.S.; Jakaitiene, A.. "The performance of education systems in the light of Europe 2020 strategy". Annals of Operations Research (2019): http://www.scopus.com/inward/record.url?eid=2-s2.0-85070339150&partnerID=MN8TOARS.
    10.1007/s10479-019-03329-5
  3. Jakaitiene, Audrone. "Social and Academic Segregation in the Education Systems of the New EU Member States". SOCIALINE TEORIJA EMPIRIJA POLITIKA IR PRAKTIKA (2019): http://dx.doi.org/10.15388/stepp.2019.8.
    {10.15388/STEPP.2019.8}
  4. Jakaitiene, Audrone; Egle Mazgelyte; Dovile Karciauskaite; Aušra Linkeviciute; Asta Mažeikiene; Neringa Burokiene; Reda Matuzeviciene; et al. "Association of Hair Cortisol Concentration with Prevalence of Major Cardiovascular Risk Factors and Allostatic Load". MEDICAL SCIENCE MONITOR 25 (2019): 3573-3582. https://doi.org/10.12659%2Fmsm.913532.
    {10.12659/MSM.913532}
  5. Poskus, E.; Kryzauskas, M.; Poskus, T.; Mikalauskas, S.; Samalavicius, N.E.; Aliosin, O.; Dailidenas, S.; et al. "Improved perioperative care is associated with improved long-term survival in colorectal cancer". International Journal of Colorectal Disease 33 6 (2018): 779-785. http://www.scopus.com/inward/record.url?eid=2-s2.0-85046097716&partnerID=MN8TOARS.
    10.1007/s00384-018-3021-y
  6. Pranckeniene, L.; Jakaitiene, A.; Ambrozaityte, L.; Kavaliauskiene, I.; Kucinskas, V.. "Insights into de novo mutation variation in Lithuanian exome". Frontiers in Genetics 9 AUG (2018): http://www.scopus.com/inward/record.url?eid=2-s2.0-85051862759&partnerID=MN8TOARS.
    10.3389/fgene.2018.00315
  7. Jakaitiene, Audrone; Jakaitiene, A.; Zilinskas, A.; Stumbriene, D.. "Analysis of Education Systems Performance in European Countries by Means of PCA-DEA". INFORMATICS IN EDUCATION 17 2 (2018): 245-263. http://www.scopus.com/inward/record.url?eid=2-s2.0-85058188700&partnerID=MN8TOARS.
    {10.15388/infedu.2018.13}
  8. Jakaitiene, Audrone; Zaleckiene, V.; Peciuliene, V.; Brukiene, V.; Jakaitiene, A.; Aleksejuniene, J.; Zaleckas, L.. "Knowledge about traumatic dental injuries in the permanent dentition: A survey of Lithuanian dentists". DENTAL TRAUMATOLOGY 34 2 (2018): 100-106. http://www.scopus.com/inward/record.url?eid=2-s2.0-85043571644&partnerID=MN8TOARS.
    {10.1111/edt.12388}
  9. Jakaitiene, A.; Avino, M.; Guarracino, M.R.; Jakaitiene, Audrone. "Beta-Binomial Model for the Detection of Rare Mutations in Pooled Next-Generation Sequencing Experiments". Journal of Computational Biology 24 4 (2017): 357-367. http://www.scopus.com/inward/record.url?eid=2-s2.0-85016438858&partnerID=MN8TOARS.
    10.1089/cmb.2016.0106
  10. Želvys, R.; Jakaitiene, A.; Stumbriene, D.. "Moving towards different educational models of the welfare state: Comparing the education systems of the Baltic countries.". Filosofija, Sociologija 28 2 (2017): 139-150. http://www.scopus.com/inward/record.url?eid=2-s2.0-85020384135&partnerID=MN8TOARS.
  11. Dovile Stumbriene; Audrone Jakaitiene; Rimantas Želvys. "Status of Education System: Interactions of Input and Output Composite Indicators". Lietuvos statistikos darbai 56 1 (2017): 31-40. https://doi.org/10.15388%2Fljs.2017.13669.
    10.15388/ljs.2017.13669
  12. Jakaitiene, Audrone; Nedzinskiene, E.; Peciuliene, V.; Aleksejuniene, J.; Maneliene, R.; Drukteinis, S.; Jakaitiene, A.. "Potential to induce dentinal cracks during retreatment procedures of teeth treated with ``Russian red'': An ex vivo study". MEDICINA-LITHUANIA 53 3 (2017): 166-172. http://www.scopus.com/inward/record.url?eid=2-s2.0-85021365323&partnerID=MN8TOARS.
    {10.1016/j.medici.2017.05.005}
  13. V Gineviciene; A Jakaitiene; K Milasius; L Tubelis; A Utkus. "P-18 Genetic variants in myostatin gene and physical performance in lithuanian athletes". British Journal of Sports Medicine 50 Suppl 1 (2016): A41.1-A41. https://doi.org/10.1136%2Fbjsports-2016-097120.71.
    10.1136/bjsports-2016-097120.71
  14. Audrone Jakaitiene; Donatas Austys; Neringa Burokiene; Vytautas Kasiulevicius; Rimantas Stukas; Vaidutis Kucinskas. "Heterogeneity of nutritional habits of Lithuanian ethnolinguistic groups: population-based study". Acta medica Lituanica 23 2 (2016): https://doi.org/10.6001%2Factamedica.v23i2.3323.
    10.6001/actamedica.v23i2.3323
  15. Asta Mažeikiene; Audrone Jakaitiene; Dovile Karciauskaite; Zita Aušrele Kucinskiene; Jonas Algis Abaravicius; Arvydas Kaminskas; Vaidutis Kucinskas. "Dietary lycopene and cardiovascular health in ethnic Lithuanians". Acta medica Lituanica 22 4 (2016): https://doi.org/10.6001%2Factamedica.v22i4.3236.
    10.6001/actamedica.v22i4.3236
  16. Gineviciene, V.; Jakaitiene, A.; Aksenov, M.O.; Aksenova, A.V.; Druzhevskaya, A.M.; Astratenkova, I.V.; Egorova, E.S.; et al. "Association analysis of ACE, ACTN3 and PPARGC1A gene polymorphisms in two cohorts of European strength and power athletes". Biology of Sport 33 3 (2016): 199-206. http://www.scopus.com/inward/record.url?eid=2-s2.0-84981748029&partnerID=MN8TOARS.
    10.5604/20831862.1201051
  17. Mikstiene, V.; Jakaitiene, A.; Byckova, J.; Gradauskiene, E.; Preiksaitiene, E.; Burnyte, B.; Tumiene, B.; et al. "The high frequency of GJB2 gene mutation c.313_326del14 suggests its possible origin in ancestors of Lithuanian population". BMC Genetics 17 1 (2016): http://www.scopus.com/inward/record.url?eid=2-s2.0-84958550639&partnerID=MN8TOARS.
    10.1186/s12863-016-0354-9
  18. Pitsiladis, Y.P.; Tanaka, M.; Eynon, N.; Bouchard, C.; North, K.N.; Williams, A.G.; Collins, M.; et al. "Athlome project consortium: A concerted effort to discover genomic and other "omic" markers of athletic performance". Physiological Genomics 48 3 (2016): 183-190. http://www.scopus.com/inward/record.url?eid=2-s2.0-84984853469&partnerID=MN8TOARS.
    10.1152/physiolgenomics.00105.2015
  19. Vaiva Hendrixson; Elvira Malyško; Asta Mažeikiene; Valdas Šablinskas; Milda Pucetaite; Vytautas Kasiulevicius; Feliksas Jankevicius; et al. "Prevalence of Metabolic Syndrome in Patients with Uric Acid and Calcium–based Kidney Stones". GSTF Journal of Advances in Medical Research 1 2 (2014): https://doi.org/10.5176%2F2345-7201_1.2.17.
    10.5176/2345-7201_1.2.17
  20. Poskus, T.; Buzinskiene, D.; Drasutiene, G.; Samalavicius, N.E.; Barkus, A.; Barisauskiene, A.; Tutkuviene, J.; et al. "Haemorrhoids and anal fissures during pregnancy and after childbirth: A prospective cohort study". BJOG: An International Journal of Obstetrics and Gynaecology 121 13 (2014): 1666-1671. http://www.scopus.com/inward/record.url?eid=2-s2.0-84920853684&partnerID=MN8TOARS.
    10.1111/1471-0528.12838
  21. Gineviciene, V.; Jakaitiene, A.; Pranculis, A.; Milašius, K.; Tubelis, L.; Utkus, A.; Jakaitiene, Audrone. "AMPD1 rs17602729 is associated with physical performance of sprint and power in elite Lithuanian athletes". BMC Genetics 15 (2014): http://www.scopus.com/inward/record.url?eid=2-s2.0-84901479335&partnerID=MN8TOARS.
    10.1186/1471-2156-15-58
  22. Gineviciene, V.; Jakaitiene, A.; Tubelis, L.; Kucinskas, V.. "Variation in the ACE, PPARGC1A and PPARA genes in Lithuanian football players". European Journal of Sport Science 14 SUPPL.1 (2014): http://www.scopus.com/inward/record.url?eid=2-s2.0-84893087562&partnerID=MN8TOARS.
    10.1080/17461391.2012.691117
  23. Jakaitiene, A.; Klyviene, V.. "Tax elasticities - Factors causing fluctuations in the short and long run the case of lithuania". Transformations in Business and Economics 12 1 (2013): 220-237. http://www.scopus.com/inward/record.url?eid=2-s2.0-84875840930&partnerID=MN8TOARS.
  24. Poškus, E.; Mikalauskas, S.; Jotautas, V.; Žeromskas, P.; Poškus, T.; Strupas, K.; Samalavicius, N.E.; et al. "The pattern of colorectal cancer surgery in lithuania in 2005: Do results meet expectations?". Medicina (Lithuania) 49 3 (2013): 124-131. http://www.scopus.com/inward/record.url?eid=2-s2.0-84884275077&partnerID=MN8TOARS.
    10.3390/medicina49030020
  25. Domarkiene, I.; Pranculis, A.; Germanas, Š.; Jakaitiene, A.; Vitkus, D.; Dženkeviciute, V.; Kucinskiene, Z.A.; Kucinskas, V.. "RTN4 and FBXL17 genes are associated with coronary heart disease in genome-wide association analysis of Lithuanian families". Balkan Journal of Medical Genetics 16 2 (2013): 17-22. http://www.scopus.com/inward/record.url?eid=2-s2.0-84903640001&partnerID=MN8TOARS.
    10.2478/bjmg-2013-0026
  26. Audrone Jakaitiene; Vaidutis Kucinskas. "Estimation of the Lithuanian Population Structure by Ethnolinguistic Groups". Lietuvos statistikos darbai 52 1 (2013): 34-38. https://doi.org/10.15388%2Fljs.2013.13921.
    10.15388/ljs.2013.13921
  27. R. Navickas; L. Ryliskyte; A. Jakaitiene; Z. Visockiene; J. Badariene; A. Laucevicius. "P1.30 IN HIGH CVD RISK GROUP ARTERIAL FUNCTION MARKERS CORRELATE WEAKLY WITH PWV AND AIXHR75 AS EXCEPTIONS". Artery Research 6 4 (2012): 159-159. https://doi.org/10.1016%2Fj.artres.2012.09.067.
    10.1016/j.artres.2012.09.067
  28. Jakaitiene, Audrone; Jakaitiene, A.; Dees, S.. "Forecasting the World Economy in the Short Term". WORLD ECONOMY 35 3 (2012): 331-350. http://www.scopus.com/inward/record.url?eid=2-s2.0-84858073307&partnerID=MN8TOARS.
    {10.1111/j.1467-9701.2011.01433.x}
  29. L. Ryliskyte; Z. Visockiene; K. Ryliskiene; R. Navickas; J. Badariene; A. Jakaitiene; A. Laucevicius. "P1.33 PREDICTORS OF ARTERIAL MARKERS IN METABOLIC SYNDROME PATIENTS: ARTERIAL HYPERTENSION AND GENDER OUTBID DYSLIPIDEMIA". Artery Research 6 4 (2012): 160-160. https://doi.org/10.1016%2Fj.artres.2012.09.070.
    10.1016/j.artres.2012.09.070
  30. Birute Surinenaite; Gintautas Domža; Janina Didžiapetriene; Gražina Prasmickiene; Živile Gudleviciene; Audrone Jakaitiene. "The status of antioxidative system in pregnant women infected with human papilloma virus". Acta medica Lituanica 17 3 (2011): 83-92. https://doi.org/10.2478%2Fv10140-010-0011-y.
    10.2478/v10140-010-0011-y
  31. Jakaitiene, Audrone. "Genetic Variation of the Human ACE and ACTN3 Genes and Their Association With Functional Muscle Properties in Lithuanian Elite Athletes". MEDICINA-LITHUANIA (2011):
    10.3390/medicina47050040
  32. Rünstler, G.; Barhoum, K.; Benk, S.; Cristadoro, R.; Reijer, A.D.E.N.; Jakaitiene, A.; Jelonek, P.; et al. "Short-term forecasting of GDP using large datasets: A pseudo real-time forecast evaluation exercise". Journal of Forecasting 28 7 (2009): 595-611. http://www.scopus.com/inward/record.url?eid=2-s2.0-70350515141&partnerID=MN8TOARS.
    10.1002/for.1105
  33. Jakaitiene, Audrone. "Short-Term Forecasting of GDP Using Large Datasets: A Pseudo Real-Time Forecast Evaluation Exercise". JOURNAL OF FORECASTING (2009):
    {10.1002/for.1105}

Other

Other output
  1. EVALUATION OF MATURITY EXAMINATIONS AND 10TH GRADE NATIONAL ASSESSMENT EXAMINATIONS IN LITHUANIA. 2020. Audrone Jakaitiene; Rimantas Zelvys; Jogaila Vaitekaitis; Laura Lipkeviciene; Vaino Brazdeikis. https://doi.org/10.21125%2Finted.2020.0970.
    10.21125/inted.2020.0970
  2. Detection of Rare Mutations Using Beta-Binomial and Empirical Quantile Models in Next-Generation Sequencing Experiments. 2016. Sarunas Germanas; Audrone Jakaitiene; Mario Guarracino. https://doi.org/10.1007%2F978-3-319-45723-9_8.
    10.1007/978-3-319-45723-9_8
  3. Investigation of the relationship between type of kidney stone and metabolic syndrome using Fourier infrared spectroscopy. 2014. Vaiva Hendrixson; Elvira Malyško; Asta Mažeikiene; Valdas Šablinskas; Milda Pucetaite; Vytautas Kasiulevicius; Feliksas Jankevicius; Audrone Jakaitiene; Zita Aušrele Kucinskiene. https://doi.org/10.5176%2F2382-607x_arp14.26.
    10.5176/2382-607x_arp14.26