Study designs and statistical approaches to suicide and prevention research in real-world data
Document Type
Article
Publication Date
2-24-2021
Abstract
Objective: 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).
Methods: Study designs, statistical method and graphical reporting standards are detailed with examples from the recently published literature.
Results: 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.
Conclusions: 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.
DOI
10.1111/sltb.12677
Publication Information
Lavigne, Jill; Lagerberg, Tyra; Ambrosi, John W.; and Chang, Zheng (2021). "Study designs and statistical approaches to suicide and prevention research in real-world data." Suicide and Life-Threatening Behavior 51.1, 127-136.
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Comments
Published in a Special Issue of Suicide and Life-Threatening Behavior.