Missing data occurs in almost all research, even well-designed and controlled studies. Missing data can reduce power and result in a biased estimate of your effect of interest. In this talk, I will review the mechanisms that give rise to missing data. I will also discuss some of the strategies available to address missingness, such as value substitution and deletion and more advanced methods such as imputation and maximum likelihood.

Speaker:  Nancy, Briggs, Senior Statistical Consultant and Manager, Stats Central, UNSW Sydney

When:  Thursday, 11th July, 2019 - 2.30 pm to 3.00 pm

Where:  Central Lecture Block (Building E19), Theatre 1, Kensington Campus, UNSW Sydney

More information and Bookings:  https://www.eventbrite.com.au/e/dealing-with-missing-data-in-your-research-tickets-63931666335