Start Date
11-8-2016
Description
As more and more data are shared, the possible distance between data collection and data analysis has increased. This makes missing data handling more difficult, because of the possible loss of information between collection and analysis. We wondered how information about missing data could be shared in order to improve missing data handling. No answer could be found in the literature. Therefore, we conducted an empirical study over three large medical datasets. We observed a diversity of practices and opportunities to improve them. We designed a way of transmitting information about missing data, easy to implement, based on what we empirically learned. Our propositions have been implemented in a large scale medical research project, giving the opportunity of a second empirical study for future works.
Recommended Citation
Meiller, Yannick, "An Information System Approach for Handling Missing Data in Collaborative Medical Research." (2016). AMCIS 2016 Proceedings. 36.
https://aisel.aisnet.org/amcis2016/Health/Presentations/36
An Information System Approach for Handling Missing Data in Collaborative Medical Research.
As more and more data are shared, the possible distance between data collection and data analysis has increased. This makes missing data handling more difficult, because of the possible loss of information between collection and analysis. We wondered how information about missing data could be shared in order to improve missing data handling. No answer could be found in the literature. Therefore, we conducted an empirical study over three large medical datasets. We observed a diversity of practices and opportunities to improve them. We designed a way of transmitting information about missing data, easy to implement, based on what we empirically learned. Our propositions have been implemented in a large scale medical research project, giving the opportunity of a second empirical study for future works.