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https://www.selleckchem.com/products/uk5099.html Suicide research is vitally important, yet-like psychology research more broadly-faces methodological challenges. In recent years, researchers have raised concerns about standard practices in psychological research, concerns that apply to suicide research and raise questions about its robustness and validity. In the present paper, we review these concerns and the corresponding solutions put forth by the "open science" community. These include using open science platforms, pre-registering studies, ensuring reproducible analyses, using high-powered studies, ensuring open access to research materials and products, and conducting replication studies. We build upon existing guides, address specific obstacles faced by suicide researchers, and offer a clear set of recommended practices for suicide researchers. In particular, we consider challenges that suicide researchers may face in seeking to adopt "open science" practices (e.g., prioritizing large samples) and suggest possible strategies that the field may use in order to ensure robust and transparent research, despite these challenges. 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). Study designs, statistical method and graphical reporting standards are detailed with examples from the recently published literature. 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. Compared to RCTs, RWE studies offer larger sample sizes, greater generalizability, and real-world validity. However, these non-experi

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