Event dependent sampling of recurrent events.
The effect of event-dependent sampling of processes consisting of recurrent events is investigated when analyzing whether the risk of recurrence increases with event count. We study the situation where processes are selected for study if an event occurs in a certain selection interval. Motivation co...
| Publicado en: | Lifetime Data Analysis Vol. 16; no. 4; pp. 580 - 599 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Sep2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104925004&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104925004 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13807870 OJH jtl: Lifetime Data Analysis issn: 13807870 maglogo: N pubinfo: dt: Sep2010 vid: 16 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104925004 NLM20526806 2010798614 10.1007/s10985-010-9172-y NLM20526806 104925004 ppf: 580 ppct: 19 formats: tig: atl: Event dependent sampling of recurrent events. aug: au: Kvist K Andersen PK Angst J Kessing LV Kvist, Kajsa Andersen, Per Kragh Angst, Jules Kessing, Lars Vedel affil: Department of Biostatistics, University of Copenhagen, Copenhagen, Denmark sug: subj: Data Analysis, Statistical Models, Statistical Affective Disorders Epidemiology Computer Simulation Hospitalization Recurrence Human ab: The effect of event-dependent sampling of processes consisting of recurrent events is investigated when analyzing whether the risk of recurrence increases with event count. We study the situation where processes are selected for study if an event occurs in a certain selection interval. Motivation comes from psychiatric epidemiology where repeated hospital admissions are studied for patients with affective disease, as seen in Kessing et al. (Acta Psychiatr Scand 109:339-344, 2004b). For the selected processes, either only disease course from selection and onwards is used in the analysis, or, both retrospective and prospective disease course histories are used. We examine two methods to correct for the selection depending on which data are used in the analysis. In the first case, the conditional distribution of the process given the pre-selection history is determined. In the second case, an inverse-probability-of-selection weighting scheme is suggested. The ability of the methods to correct for the bias due to selection is investigated with simulations. Furthermore, the methods are applied to affective disease data from a register-based study (Kessing et al. Br J Psychiatry 185:372-377, 2004a) and from a long-term clinical study (Kessing et al. Acta Psychiatr Scand 109:339-344, 2004b). pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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