Ryan, Jessica (11 January 2023). The Handling of Data Missingness in Biological Anthropological Research (Unpublished). In: Big Data, Missing Data and everything in between - Data Science Seminars. online. 11 January 2023.
Missing data in biological anthropology is inevitable due to the circumstances commonly surrounding skeletal preservation. In recent years, an increased accessibility to statistical analysis software has inspired anthropologists to reconsider how they analyze data. In particular, the application of imputation models for both quantitative bone measurements and qualitative development scores has opened the field to new areas of data analysis. However, questions remain concerning the best-adapted imputation models as well as the amount of accepted missingness. This study explores both of those questions through the application of the R packages MICE and missMethods to a well-documented osteological dataset.
Item Type: |
Conference or Workshop Item (Speech) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Service Sector > Institute of Legal Medicine 04 Faculty of Medicine > Service Sector > Institute of Legal Medicine > Anthropology |
UniBE Contributor: |
Ryan, Jessica |
Subjects: |
500 Science > 560 Fossils & prehistoric life 500 Science > 570 Life sciences; biology 600 Technology > 610 Medicine & health |
Language: |
English |
Submitter: |
Sandra Lösch |
Date Deposited: |
18 Jan 2023 16:16 |
Last Modified: |
18 Jan 2023 23:28 |
URI: |
https://boris.unibe.ch/id/eprint/177316 |
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