Einstein, measurement, and prediction
| dc.contributor.author | Gibbons, Robert D. | |
| dc.contributor.author | Beiser, David G. | |
| dc.contributor.author | Boudreaux, Edwin D | |
| dc.contributor.author | Kupfer, David J. | |
| dc.date | 2022-08-11T08:08:20.000 | |
| dc.date.accessioned | 2022-08-23T15:51:49Z | |
| dc.date.available | 2022-08-23T15:51:49Z | |
| dc.date.issued | 2016-12-21 | |
| dc.date.submitted | 2017-05-03 | |
| dc.identifier.citation | J Affect Disord. 2016 Dec 21. pii: S0165-0327(16)31946-2. doi: 10.1016/j.jad.2016.12.016. [Epub ahead of print] <a href="https://doi.org/10.1016/j.jad.2016.12.016">Link to article on publisher's site</a> | |
| dc.identifier.issn | 0165-0327 (Linking) | |
| dc.identifier.doi | 10.1016/j.jad.2016.12.016 | |
| dc.identifier.pmid | 28034468 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.14038/28995 | |
| dc.description.abstract | Delgado-Gomez et al. (2016) have provided an interesting example of the comparison of computerized adaptive testing (CAT) based on unidimensional item response theory (IRT) and a machine learning approach based on decision trees (DT) in the prediction of people who have a history of suicide attempts. ... In the following we attempt to better articulate the differences between the two statistical approaches so that practitioners and consumers of these methods will have a better understanding of their utilities. | |
| dc.language.iso | en_US | |
| dc.relation | <a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=28034468&dopt=Abstract">Link to Article in PubMed</a> | |
| dc.relation.url | https://doi.org/10.1016/j.jad.2016.12.016 | |
| dc.subject | Mental and Social Health | |
| dc.subject | Psychiatry | |
| dc.subject | Psychiatry and Psychology | |
| dc.title | Einstein, measurement, and prediction | |
| dc.type | Response or Comment | |
| dc.source.journaltitle | Journal of affective disorders | |
| dc.identifier.legacycoverpage | https://escholarship.umassmed.edu/faculty_pubs/1221 | |
| dc.identifier.contextkey | 10111048 | |
| html.description.abstract | <p>Delgado-Gomez et al. (2016) have provided an interesting example of the comparison of computerized adaptive testing (CAT) based on unidimensional item response theory (IRT) and a machine learning approach based on decision trees (DT) in the prediction of people who have a history of suicide attempts. ... In the following we attempt to better articulate the differences between the two statistical approaches so that practitioners and consumers of these methods will have a better understanding of their utilities.</p> | |
| dc.identifier.submissionpath | faculty_pubs/1221 | |
| dc.contributor.department | Department of Emergency Medicine |
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