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Charlotte Z. Mann; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2025
Combining observational and experimental data for causal inference can improve treatment effect estimation. However, many observational data sets cannot be released due to data privacy considerations, so one researcher may not have access to both experimental and observational data. Nonetheless, a small amount of risk of disclosing sensitive…
Descriptors: Causal Models, Statistical Analysis, Privacy, Risk
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Deborah M. Caldwell; Jennifer C. Palmer; Katie E. Webster; Sarah R. Davies; Hugo Hughes; Joseph Rona; Rachel Churchill; Sarah E. Hetrick; Nicky J. Welton – Prevention Science, 2025
Many randomized controlled trials have investigated the role of school-based prevention interventions to reduce symptoms of anxiety and depression in young people. Systematic reviews have subsequently demonstrated a small, beneficial effect of these interventions when compared to a combined control group including usual care, no intervention, or…
Descriptors: Depression (Psychology), Prevention, Randomized Controlled Trials, Symptoms (Individual Disorders)