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Influence of birth cohort on age of onset cluster analysis in bipolar I disorder
journal contribution
posted on 2015-01-01, 00:00 authored by M Bauer, T Glenn, M Alda, O A Andreassen, E Angelopoulos, R Ardau, C Baethge, R Bauer, F Bellivier, R H Belmaker, Michael BerkMichael Berk, T D Bjella, L Bossini, Y Bersudsky, E Y Cheung, J Conell, M Del Zompo, Seetal DoddSeetal Dodd, B Etain, A Fagiolini, M A Frye, K N Fountoulakis, J Garneau-Fournier, A Gonzalez-Pinto, H Harima, S Hassel, C Henry, A Iacovides, E T Isometsä, F Kapczinski, S Kliwicki, B König, R Krogh, M Kunz, B Lafer, E R Larsen, U Lewitzka, C Lopez-Jaramillo, G MacQueen, M Manchia, W Marsh, M Martinez-Cengotitabengoa, I Melle, S Monteith, G Morken, R Munoz, F G Nery, C O'Donovan, Y Osher, A Pfennig, D Quiroz, R Ramesar, N Rasgon, A Reif, P Ritter, J K Rybakowski, K Sagduyu, A M Scippa, E Severus, C Simhandl, D J Stein, S Strejilevich, A Hatim Sulaiman, K Suominen, H Tagata, Y Tatebayashi, C Torrent, E Vieta, B Viswanath, M J Wanchoo, M Zetin, P C WhybrowTwo common approaches to identify subgroups of patients with bipolar disorder are clustering methodology (mixture analysis) based on the age of onset, and a birth cohort analysis. This study investigates if a birth cohort effect will influence the results of clustering on the age of onset, using a large, international database.
History
Journal
European psychiatryVolume
30Issue
1Pagination
99 - 105Publisher
ElsevierLocation
Amsterdam, NetherlandsPublisher DOI
eISSN
1778-3585Language
engPublication classification
C Journal article; C1 Refereed article in a scholarly journalCopyright notice
2015, ElsevierUsage metrics
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