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Small samples evaluation in basic, translational, clinical, environmental research and meta-analysis

Host Mentor is Affiliated with National & Kapodistrian of Athens University Medical School

Dr. Styliani Geronikolou is a Researcher C (Assistant Professor Level) in the University Research Institute of Maternal & Child Health and Precision Medicine National & Kapodistrian of Athens University Medical School and this program reflects her expertise. However, these classes will be independently hosted and not endorsed by or affiliated with the University. Certificates issued will note her affiliation but do not imply university endorsement. Participants will receive a guided research project and meet with her every week for mentorship, progress tracking, and advanced discussions. Participants are also encouraged to bring their own datasets or research problems and apply the learned techniques in real time to generate meaningful results under expert guidance.

This six module online program is designed to guide participants through the entire lifecycle of research based on small samples. From formulating a research question to publishing in peer-reviewed journals, this fellowship offers step-by-step training for those aiming to build skills in designing, executing, and communicating small-sampled studies.

Main Areas of Interest

Research Design and Methodology for Small-Sample Studies
Advanced Statistical Methods and Simulation Approaches
Basic, Translational, and Preclinical Research Optimization
Clinical and Environmental Applications of Limited-Data Analysis
Meta-analysis and Evidence Synthesis of Small or Heterogeneous Studies
Transparency, Reproducibility, and Reporting Standards in Research
Data Interpretation, Sensitivity Analysis, and Bias Mitigation
Open Science Practices and Reproducible Research Workflows

Techniques You Will Learn

· Small-sample study design principles

· Power analysis and sample size estimation for limited data. Power enhancement through data pooling and matched designs

· Optimal design for pilot and feasibility studies

· CONSORT, STROBE, ARRIVE, and PRISMA guidelines for small-sample studies

· Randomization and stratification with small groups, Sequential and adaptive design approaches, N-of-1 and single-case experimental designs

· Environmental exposure modeling with sparse measurements

· Sensitivity analyses for model dependence and uncertainty

· Non-parametric tests, Small Samples Evaluator SSEv and Hedge’s g

· Bootstrapping and Monte Carlo simulation for design validation

· Publication bias and small-study bias detection (Egger’s test, funnel plots, trim-and-fill, p-curve)

· Design and analysis of animal and cell-based studies with small replicates

· Repeated-measures ANOVA and mixed models with small n

· Bootstrapped confidence intervals for effect sizes

· Open data and reproducibility tools (GitHub, OSF, Zenodo), Transparent reporting of uncertainty and limitations

· Sensitivity and robustness reporting frameworks

· Data visualization techniques for small-sample results

Modules

Module 1: Principles and Challenges of Small Sample Studies
Overview of small-sample research design, sources of bias, uncertainty, and implications for scientific inference across disciplines. Exposomics

Module 2: Advanced Statistical Approaches for Limited Data
Application of robust, resampling, and Bayesian methods to improve inference and reliability when sample sizes are small. Simulation and SSEv methods

Module 3: Strategies in Basic and Translational Research
Design optimization, pilot and/or feasibility studies, and adaptive methods for laboratory and preclinical investigations with limited experimental units.

Module 4: Clinical and Environmental Applications of Small Sample Analysis
Approaches to ethical design, data interpretation, and model selection in small-scale clinical trials, and environmental studies.

Module 5: Synthesizing Evidence: Meta-analysis of Small and Heterogeneous Studies
Combining limited-sample research through meta-analysis, individual participant data (IPD) integration, and sensitivity assessments.

Module 6: Transparency, Reproducibility, and Reporting Standards
Ensuring rigor through standardized reporting (CONSORT, STROBE, ARRIVE), reproducible workflows, and open data practices.

Program Fee


Total Number of Modules	6
Time duration of Each module	60 minutes
Total Program Cost	$630

Who Can Apply

Public and/or Environmental Health professionals, researchers, students, and biologists, chemists, clinicians.

Host Details

Host Name: Stella Geronikolou

Affiliation: Host Mentor is Affiliated with National & Kapodistrian of Athens University Medical School

Address: Levadias 8, Athina 115 27, Greece

Website URL: https://scholar.google.gr/citations?user=QULTYKsAAAAJ&hl=en

Disclaimer:It is mandatory that all applicants carry workplace liability insurance, e.g., https://www.protrip-world-liability.com (Erasmus students use this package and typically costs around 5 € per month - please check) in addition to health insurance when you join any of the onsite Trialect partnered fellowships.

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