Event

Abstract: Multilevel regression and poststratification methods have been used in an increasing range ofdifferent application areas, from political science to psychology to biomedical areas. However, asapplications have grown increasingly diverse it has become increasingly apparent that it is not only staticcross-sectional survey data that benefits from adjustment for representation, but there also appears to beindications that this technique (and related survey adjustment methods) could be applied in broaderresearch areas in the social sciences. In this study we simulate a randomised control trial based on a large,published example that uses a complex stratified cluster sampling design. Utilizing this design we considertwo interesting applications of MRP. Firstly MRP as it can be used with complex sampling designs (andparticularly cluster sample designs) and MRP as it could be applied to randomized control trials. Results and future directions are discussed.

Lauren is a lecturer in the Econometrics and Business Statistics department at Monash University. Sheworks on applied statistical problems in the social sciences using primarily Bayesian methodology. Hermost recent work is with survey data, particularly the use of model and post-stratify methods to makepopulation and subpopulation predictions.

Thursday 25th March
9:30-10:30am AEDT
Ella Latham Auditorium
Ground Floor, Royal Children's Hospital
50 Flemington Rd, Parkville

Please note this event will also be streamed via Zoom:
https://monash.zoom.us/j/83826058763pwd=WU5mSFZUZ2I4R1lSSEgxMWlyTVhNUT09