David Thiessen

Dr. Thiessen’s research deals with the problem of missing data in statistics. Missing data has many causes and can affect almost all applied statistics, but it is especially prevalent in the areas of survival data, longitudinal data and survey sampling. Survival data records the length of time it takes for an “event” to occur. Longitudinal data is when data is recorded at several occasions over a period of time. Survey sampling refers to the design and collection of data from a large population. Although the statistical techniques used in these areas are quite different, the theme of missing data touches on all of them, and they often use similar methods to deal with the missing data. | Missing data, survival analysis, longitudinal data, survey sampling, data science

David Thiessen is Assistant Professor | Honours Advisor, Statistics at MacEwan University. Their stated interests include Dr. Thiessen’s research deals with the problem of missing data in statistics. Missing data has many causes and can affect almost all applied statistics, but it is especially prevalent in the areas of survival data, longitudinal data and survey sampling. Survival data records the length of time it takes for an “event” to occur. Longitudinal data is when data is recorded at several occasions over a period of time. Survey sampling refers to the design and collection of data from a large population. Although the statistical techniques used in these areas are quite different, the theme of missing data touches on all of them, and they often use similar methods to deal with the missing data. Missin. This summary considered all 2 collected sources.