The challenges of integrating diverse data sources: A case study in major depression

2025/10/23 by Carly L. Brantner, Carly Lupton‐Smith, Wenshan Yu +12 · 1 voice
Psychology · Social Sciences · #Health disparities and outcomes #Mental Health Research Topics #Mental Health Treatment and Access

paper · doi:10.1007/s10742-025-00363-8

crossref issued 2025/10/23 · crossref published 2025/10/23 · crossref published-online 2025/10/23 · openalex created_date 2025/10/23 · openalex publication_date 2025/10/23 · crossref created 2025/10/23 · crossref published-print 2026/03/01 · crossref deposited 2026/03/07 · crossref indexed 2026/03/08 · openalex updated_date 2026/08/01

Citations

• A New Depression Scale Designed to be Sensitive to Change
• Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available: Table 1.
• Data fusion methods for the heterogeneity of treatment effect and confounding function
• Target Trial Emulation
• Comparison of Methods that Combine Multiple Randomized Trials to Estimate Heterogeneous Treatment Effects
• Methods for Integrating Trials and Non-Experimental Data to Examine Treatment Effect Heterogeneity
• Data Integration in Causal Inference
• Precise Unbiased Estimation in Randomized Experiments using Auxiliary Observational Data
• The PHQ-9

Discussions

• Congratulations to Hwanhee Hong of Duke University on your public disclosure, “The challenges of integrating diverse data sources: A case study in major depression.” We’re proud to facilitate your acc [bsky, 0 points, 0 comments]