Study designs and statistical approaches to suicide and prevention research in real-world data.
<bold>Objective: </bold>To provide researchers, clinicians and policy makers with a primer to study designs, statistical approaches and graphical reporting methods for suicide research in real world data (RWD).<bold>Methods: </bold>Study designs, statistical method and graphical reporting standards...
| Publicado en: | Suicide & Life-Threatening Behavior Vol. 51; no. 1; pp. 127 - 137 |
|---|---|
| Autores principales: | , , , |
| Formato: | journal article |
| Publicado: |
Wiley-Blackwell
Feb2021
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=148928418&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 148928418 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03630234 SUI jtl: Suicide & Life-Threatening Behavior issn: 03630234 maglogo: Y pubinfo: dt: Feb2021 vid: 51 iid: 1 pid: 480 pub: Wiley-Blackwell artinfo: ui: 148928418 10.1111/sltb.12677 ppf: 127 ppct: 10 formats: tig: atl: Study designs and statistical approaches to suicide and prevention research in real-world data. aug: au: Lavigne, Jill E. Lagerberg, Tyra Ambrosi, John W. Chang, Zheng affil: Center of Excellence for Suicide Prevention, Department of Veterans Health Affairs, 400 Fort Hill Ave, Canandaigua 14424,, USA Wegmans School of Pharmacy, St John Fisher College, 3690 East Ave, Rochester NY, 14618,, USA Karolinska Institute, 171 77 Stockholm, Solna, Sweden su: Suicide prevention Suicidal behavior Experimental design Statistical models Sample size (Statistics) sug: subj: Suicide prevention Suicidal behavior Experimental design Statistical models Sample size (Statistics) ab: <bold>Objective: </bold>To provide researchers, clinicians and policy makers with a primer to study designs, statistical approaches and graphical reporting methods for suicide research in real world data (RWD).<bold>Methods: </bold>Study designs, statistical method and graphical reporting standards are detailed with examples from the recently published literature.<bold>Results: </bold>Data sources and codes for identifying suicidal behavior are described. Study designs are described in detail for post-market surveillance, retrospective cohort studies, case control and nested case-control studies, and self-controlled (within-individual) studies including applications of marginal structural models. Graphical reporting of designs is described using an original research study.<bold>Conclusions: </bold>Compared to RCTs, RWE studies offer larger sample sizes, greater generalizability, and real-world validity. However, these non-experimental data risk uncontrolled confounding and potential introduction of bias unless data, design and statistical approaches are rigorously aligned. pubtype: Academic Journal doctype: journal article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|