“Missing Data Analysis” is a standard topic in statistics, but the
name is a bit misleading. The point is not to analyze the missing
data, it is to analyze the data that are left, without losing too
much information. Dr. Geert Molenberghs will teach the online course
"Missing Data Analysis" November 19 – December 18 at statistics.com.
Nov 5: Cluster Analysis
Nov 12: Spatial Statistics with Geographic Information Systems (GIS)
Nov 19: Missing Data (more below)
Nov 19: Introduction to Support Vector Machines in R
Nov 27: Generalized Linear Models
“Missing Data Analysis” covers both conventional methods for
handling missing data (like complete case analysis, single
imputation, and last observation carried forward), as well as
newer methods that waste less data and sacrifice less power.
Techniques such as direct Bayesian analysis, inverse probability
weighting, and/or multiple imputation have become practical in
the last few years with the introduction of widely available and
user-friendly software. They apply to continuous data, binary data,
categorical data, count data, etc., and are useful in biomedical
sciences, economy, psychology, social and behavioral sciences,
agriculture, biology, etc. The course will address the issues
arising with the conventional methods, and provide a basis for
the more promising methods. Case studies and the use of
software will be discussed.
Dr. Geert Molenberghs is Professor of Biostatistics at Universiteit
Hasselt and Katholieke Universiteit Leuven in Belgium. He has
co-authored authored books on longitudinal and incomplete data,
and on surrogate marker evaluation (he has a special research
interest in surrogate markers in clinical trials). He was Joint
Editor of "Applied Statistics" (2001-2004) and Co-Editor of
"Biometrics" (2007-2009). He was President of the International
Biometric Society (2004-2005), received the Guy Medal in Bronze
from the Royal Statistical Society and the Myrto Lefkopoulou award
from the Harvard School of Public Health. He is the founding
director of the Center for Statistics and also the director of the
Interuniversity Institute for Biostatistics and statistical
Bioinformatics (I-BioStat). Participants can ask question and
exchange comments directly with Dr. Molenberghs via a private
discussion board throughout the course.
The course takes place online at statistics.com in a series of 4
weekly lessons and assignments, and requires about 15 hours per
week. Participate at your own convenience; there are no set
times when you are required to be online.
You may leave the list at any time by sending the command
to [log in to unmask], leaving the subject line blank.