TY  - JOUR
PY  - 2021//
TI  - Study designs and statistical approaches to suicide and prevention research in real-world data
JO  - Suicide and life-threatening behavior
A1  - Lavigne, Jill E.
A1  - Lagerberg, Tyra
A1  - Ambrosi, John W.
A1  - Chang, Zheng
SP  - 127
EP  - 136
VL  - 51
IS  - 1
N2  - 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). <br><br>METHODS: Study designs, statistical method and graphical reporting standards are detailed with examples from the recently published literature. <br><br>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. <br><br>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.<p />  <p>Language: en</p>
LA  - en
SN  - 0363-0234
UR  - http://dx.doi.org/10.1111/sltb.12677
ID  - ref1
ER  -