What is this course about?

As National Statistical Institutes increasingly rely on administrative records, big data, and volunteer-based sources, the ability to integrate non-probability samples with traditional surveys has become a critical skill helping you produce high-quality, reliable official statistics in today’s complex data landscape.

This short course offers a modern, practical framework for combining design-based and model-based perspectives for integrating probability and non-probability samples, covering key methods such as propensity-score adjustment, calibration, doubly robust estimation, and design-oriented integration strategies. 

What You'll explore?

1. A clear and coherent framework bridging design-based and model-based approaches 

2. Practical understanding of key methods, including: 

• Propensity-score adjustment
• Calibration techniques 
• Doubly robust estimation 
• Design-oriented integration strategies 
• Tools to assess and mitigate selection bias 
• Guidance on variance estimation and robustness of integrated estimators under realistic deviations from ideal assumptions 
• Strategies for producing reliable domain and small-area estimates 

Concepts are presented in a concise, accessible (non-technical) manner and illustrated with applied examples from the State Data Agency (Statistics Lithuania), including census data integration, tourism statistics, and business statistics, allowing you to see how modern integration methods operate in real production environments—not just in theory. 

Instructors

This training course is delivered by State Data Agency (Statistics Lithuania).

Instructors: 

Dr. Andrius Čiginas

Ieva Ramašauskienė

Donatas Šlevinskas 

Requirements

1. The participants of this short course should have knowledge and experience with production of official statistics:

• Methodologists and statisticians at NSIs 
• Official statistics producers 
• Researchers working with mixed data sources 
• Anyone involved in survey integration or data quality improvement

2. Please bring your laptop for the training session

Practical information

This short course will take place over a full day. The detailed agenda will be announced shortly.

The venue of the short courses is the Faculty of Mathematics and Informatics (MIF) at Vilnius University (VU).
Address: Naugarduko g. 24, Vilnius, Lithuania.

Please note that places are limited, and we encourage you to secure your participation at your earliest convenience.

Kindly create an account or log in to your existing account and register for the courses using the link below.

For details on the short course fees, please use this link.

The training course participation fee includes morning and afternoon coffee breaks with refreshments. Lunch is not included. However, participants will have the option to purchase lunch at nearby restaurants (details will be announced soon).