Missing Values: What is Really Missing with Missing Values

Talk

WHEN June 23, 2021
3-4:30pm WHERE Zoom Webinar WHO Statistical Consulting Laboratory (StatsLab) Open to the Public

In the talk,  Christian Heumann  will first try to motivate why simply ignoring the problem of missing data is a bad option if a substantial amount of data is missing. Imputation has been proposed a long time ago as a method to treat the problem of missing data adequately. Since single imputation has also severe disadvantages, the standard is (or should be) nowadays multiple imputations. Here, several options can be chosen by the imputer. Finally, Heumann will discuss how to bootstrap and multiple imputations can be combined for inference purposes, e.g. standard errors or confidence intervals. 

Email nyuad.statslab@nyu.edu for more details.

Speakers
  • Christian Heumann, Professor, Department of Statistics, Ludwig-Maximilians-Universität München
Hosted by
  • Statistical Consulting Laboratory (StatsLab)

Registration

* Required

Having difficulty with this form? Please let us know.

Join our events mailing lists

Always be the first to know about what's going on in our community. Sign up for one of our newsletters and receive information on a wide variety of events such as exhibition, lectures, films, art performances, discussions and conferences.

Join The Arts Center events mailing list Join The Institute events mailing list Join The Art Gallery events mailing list Join The StartAD events mailing list