Biostatistics Short Course: An Introduction to the Analysis of Incomplete Data Register here Missing data is a common complication in applied research. Although most researchers and scientists tend to ignore this problem, research has proven that correcting this issue is important. Biased results and inefficient estimates are just some of the risks of having incomplete data. In this course, we will introduce vocabulary on incomplete data and present problems and solutions. We will provide guidance on implementing mitigation procedures including software options. This course is intended for researchers and quantitative scientists with a basic knowledge of statistical inference. Speaker:Ofer Harel, PhD, University of Connecticut
Friday, October 6, 2023 | 9:00am – 4:00pm In-Person, Harvard Medical School