Konstantinos Pateras

Behavioural Sciences · Biostatistics · Evidence Synthesis

Konstantinos Pateras

Upcoming role - Ass. Professor of Applied Statistics in Behavioural Sciences

Konstantinos Pateras is a statistician working at the intersection of applied statistics, behavioural sciences and biostatistics. His work focuses on Bayesian methods, evidence synthesis, small-population studies, public and one health applications and statistical tools that support transparent decision-making under limited or complex data. He develops and applies statistical methodology across clinical, epidemiological and behavioural research, with a strong interest in reproducible workflows and collaborative research networks.

27+ funded research and applied projects
37 peer-reviewed publications; 10 as first/last author
Main proposer and Action Chair Candidate for MAGNET COST Action
Teaching across AUEB, University of Thessaly, UMC Utrecht and NKUA
Maintainer/contributor to statistical R tools including PriorGen, EVI and gamlss.demo

Research Themes

Behavioural Statistics Anthropology Social Psychology Bayesian Statistics Flexible regression Small Populations Evidence Synthesis One Health

MAGNET COST Action 2026–2030

Multidisciplinary Adaptations of GAMLSS NETwork

Main proposer and Action Chair Candidate

MAGNET is the main future focal point of the website. It is designed around multidisciplinary adaptations of Generalized Additive Models for Location, Scale and Shape (GAMLSS), with applications in Public & One Health, infectious disease modelling, predictive risk modelling, open workflows, training schools, exchanges and pilot outputs.

MAGNET Europe participation map [to be fixed on the 13th June]

Active Candidate Interested Pending
UKUnited Kingdom
NLNetherlands
DEGermany
PLPoland
FRFrance
CHSwitzerland
ATAustria
HUHungary
PTPortugal
ESSpain
ITItaly
GRGreece
TRTurkey
CYCyprus
BEBelgium

Projects

Projects are ordered by first year of involvement. MAGNET remains the central current theme.

GR-Stats Forum

2009–present

Administrator of the GRstats Forum - Leshi Filon Statistikis, a forum for the long-running Greek statistics community initiative that is based on Ioannis Ntzoufra's GRSTATS.

Public health, health and social/behavioural projects

2010–present

Aggregated portfolio covering 10+ public health projects, 10+ social and behavioural science projects, clinical medicine, data engineering, registries and national/european statistics.

ASTERIX FP7

2013–2017

Advances in Small Trials dEsign for Regulatory Innovation and eXcellence; rare diseases, small populations and trial methodology.

NEMO

2017–2019

Missing outcome data in network meta-analysis; systematic review, empirical and simulation work with Bayesian statistics.

HARMONY COST

2020–2024

Novel tools for test evaluation and disease prevalence estimation; WG member and trainer in Bayesian statistics and prior elicitation.

unCoVer H2020

2021–2023

Unravelling Data for Rapid Evidence-Based Response to COVID-19; biostatistics and evidence synthesis in pandemic data.

REFORMED collaborations

2021–2025

Biostatistical collaborations in national research projects, public health, clinical medicine and applied epidemiology.

JIR-CliPS COST

2022–present

Improving outcome of juvenile inflammatory rheumatism via universally applicable clinical practice strategies; MC member, researcher and statistical expert.

Books under development

ongoing

Space reserved for book projects, lecture notes and long-form educational material in applied statistics and biostatistics.

Teaching

Teaching grouped by larger areas rather than long inline course lists.

Applied Statistics & Biostatistics

Athens University of Economics and Business · University of Thessaly · University Medical Center Utrecht

Data AnalysisBiostatisticsBiostatistics IIMedical StatisticsBasics of BiostatisticsClassical BiostatisticsModern Biostatistics

Statistical Computing & R

Athens University of Economics and Business · National and Kapodistrian University of Athens · University Medical Center Utrecht

Introduction to RComputational StatisticsR in Bayesian Biostatistics

Bayesian Methods, Evidence Synthesis & Training

ASTERIX FP7 · HARMONY COST · JIR-CliPS COST · University of Thessaly

Bayesian BiostatisticsBayesian StatisticsMeta-analysisPrior ElicitationBayesian Latent Class ModelsMedical Repository Statistics

Behavioural Sciences

Aristotle University of Thessaloniki

Statistics IStatistics IIAdvance Statistics for Behavioural Sciences

Epidemiology, Survival & One Health

University Medical Center Utrecht · University of Thessaly

Survival AnalysisMixed Models

Featured publications

Selected publication highlights. Full publication list available through Google Scholar.

Combined assessment of early and late-phase outcomes in orphan drug development

Combined assessment of early and late-phase outcomes in orphan drug development

Statistics in Medicine (2021)

Bayesian methods for combining evidence across development phases in orphan drug research.

Prior distributions for variance parameters in a sparse-event meta-analysis of a few small trials

Prior distributions for variance parameters in a sparse-event meta-analysis of a few small trials

Pharmaceutical Statistics (2020)

Development and evaluation of prior distributions for sparse-event meta-analysis.

Participants' outcomes gone missing within a network of interventions

Participants' outcomes gone missing within a network of interventions

Statistics in Medicine (2019)

Bayesian modelling strategies for missing outcomes in network meta-analysis.

Data generating models of dichotomous outcomes

Data generating models of dichotomous outcomes

Statistics in Medicine (2018)

Simulation frameworks for random-effects meta-analysis.

The convergence Epidemic Volatility Index as an early warning tool

The convergence Epidemic Volatility Index as an early warning tool

Infectious Disease Modelling (2023)

Early warning indicators for epidemic surveillance.

tPRiors

tPRiors

BMC Medical Research Methodology (2022)

Prior elicitation and posterior distributions of true disease prevalence.