Interdisciplinary Statistical Research Group

Address
Akademijos st. 4 , room 609
Vilnius, Lithuania

Head of the Group
prof. dr. Audronė JAKAITIENĖ

Tel: +370 5 210 9303, +370 5 250 1798
E-mail

About

17 February 2023 – the Interdisciplinary Statistical Research Group is established at the Institute for Data Science and Digital Technologies.

Goal – international interdisciplinary statistical research in the health, social and technological sciences, in collaboration with foreign universities and business partners.

Research field – interdisciplinary statistical research.

Group research activities:

Biostatistical analysis in biomedical research.
Statistical analysis and modelling of International Large-Scale Assessment data.
Application of statistical methods in mechatronic systems processes.
Integrating non-probability sampling in statistical research.
Parameter estimation in small population areas.

Conferences

2025

Laura Ringiene, Audrone Jakaitiene, Rimantas Zelvys, Rita Dukynaite. Are Reading Achievement Gaps Closing Over Time in EU and EEA Countries Using PIRLS Data?, 11th International Research Conference (IEA IRC), 25–27 June 2025, Rome, Italy.

Audrone Jakaitiene, Laura Ringiene, Rimantas Zelvys. How is Well-being Important for Mathematics Achievements from PISA 2022? EduBest workshop, 20 June 2025, Porto, Portugal.

Audrone Jakaitiene, Tadas Zvirblis, Pilar Caro, Christian P. Schaaf. Are genetic changes in 15q13.3 associated with lower IQ score? Nordic-Baltic Biometric Conference (NBBC25), 10-12 June 2025, Oslo, Norway.

Audronė Jakaitienė, Evelina Marija Vaitėnienė, Algirdas Utkus. E-Health Information Systems for Modelling Congenital Anomalies in Lithuania, Data Science for Health and Biology (DS4BH), 1st Workshop on Data Science for Health and Biology, 7-9 April 2025, Politecnico di Milano.

2024

Audronė Jakaitienė, Laura Ringienė, Gabrielė Stupurienė, Rita Dukynaitė, Rimantas Želvys. Does achievement gap correlate with average performance? Case of PIRLS, EWEPA Algarve 2024. XVIII European workshop on efficiency and productivity analysis, 18-21 June 2024, Faro, Portugal.

Neapolis, Italija. Audronė Jakaitienė. Predictive Analytics in Medicine and Biology (Invited lecture), 19th annual conference "BBCC2024 Bioinformatics and Computational Biology", 27-29 November 2024, Naples, Italy.

Ieva Burakauskaitė, Andrius Čiginas, Donatas Šlevinskas. Estimation of job vacancies in small population domains using web-scraped data, Joint Statistical Meetings (JSM 2024), 3-8 August 2024, Portland, Oregon, United States.

Andrius Čiginas, Jae-Kwang Kim, Ieva Burakauskaitė. Integrating a non-probability sample and its complementary probability sample, Joint Statistical Meetings (JSM 2024), 3-8 August 2024, Portland, Oregon, United States.

2023

D. Žebrauskienė, R. Puronaitė, E. Sadauskienė, R. Masiulienė, E. Preikšaitienė, A. Jakaitienė. Multiple Regression Models for Predicting Rare Outcomes in Hypertrophic Cardiomyopathy, ISCB44: 44th annual conference of the International Society for Clinical Biostatistics, 27-31 August 2023, Milan, Italy.

Ieva Burakauskaitė, Andrius Čiginas. Integration of a voluntary sample assuming the not missing at random response mechanism, 6th Baltic-Nordic Conference on Survey Statistics, 21-25 August 2023, Helsinki, Finland.

Andrius Čiginas, Ieva Burakauskaitė. Estimation of proportions in very small population domains, 64th World Statistics Congress, 14-20 July 2023, Otava, Canada.

A. Camanho, D. Stumbrienė, F. Barbosa, A. Jakaitienė. Are the Trends of Education and Training Systems in European Countries Improving and Converging? 15th annual International Conference on Education and New Learning Technologies (EDULEARN23), 3-5 July 2023, Palma de Mallorca, Spain.

Audronė Jakaitienė. Interdisciplinary Future? Systems biology at Vilnius university, International conference on Medical and Health Care Sciences "Knowledge for Use in Practice", 29-31 March 2023, Riga Latvia.

science and education

Phd Students

Name, Surname	Supervisor	Field of study	Theme	Time of study
Ieva Burakauskaitė	dr. Andrius Čiginas	N 001	Use of Additional Information to Estimate Parameters in Population Areas	2022-2026
Raimondas Juškys	Prof. Dr. Audronė Jakaitienė	T 007	Machine Learning Methods for Classification and Segmentation Tasks in Neuro-oncology	2024-2028
Gajane Mikalkėnienė	Assoc. Prof. Dr. Tadas Žvirblis	N 009	Developing deep learning methods for depression diagnosis based on EEG signal analysis	2023-2027
Roma Puronaitė	Prof. Dr. Audronė Jakaitienė	N 009	Clustering Algorithms for Medical Big Data	2017-2025
Karolis Šablauskas	Prof. Dr. Audronė Jakaitienė	T 007	Characterization of genetic changes using deep neural networks	2022-2027
Ramunė Vaišnorė	Prof. Dr. Audronė Jakaitienė	T 007	Disease Prediction Algorithms Using Next-Generation Sequencing Data	2020-2026
Akvilė Vitkauskaitė	dr. Andrius Čiginas	N 001	Parameter Estimation and Prediction in Population Domains, Integrating Non-probability Samples	2024-2028

Staff and PhD students

Employees

ajakaitiene2017

Prof. Dr. Audronė Jakaitienė

Department: Interdisciplinary Statistical Research Group
Position: Principal Researcher, Head of Group

Address: Akademijos st. 4,room 609, Vilnius
Tel: +370 5 210 9303, +370 5 250 1798
E-mail:

ORCID ID: 0000-0001-6417-477X

SCOPUS Author ID: 35169724900

Web of Science ResearcherID: HLH-6727-2023