Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration.

Saved in:
Bibliographic Details
Title: Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration.
Authors: Brantner CL; Department of Biostatistics and Bioinformatics, Duke University, North Carolina, USA.; Duke Clinical Research Institute, North Carolina, USA., Nguyen TQ; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Maryland, USA., Parikh H; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Maryland, USA.; Department of Biostatistics, Yale University, Connecticut, USA., Zhao C; Department of Biostatistics and Bioinformatics, Duke University, North Carolina, USA., Hong H; Department of Biostatistics and Bioinformatics, Duke University, North Carolina, USA.; Duke Clinical Research Institute, North Carolina, USA., Stuart EA; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Maryland, USA.
Source: Journal of the Royal Statistical Society. Series C, Applied statistics [J R Stat Soc Ser C Appl Stat] 2025 Dec 12. Date of Electronic Publication: 2025 Dec 12.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 101086541 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0035-9254 (Print) Linking ISSN: 00359254 NLM ISO Abbreviation: J R Stat Soc Ser C Appl Stat
Database: MEDLINE Ultimate
Description
ISSN:0035-9254
DOI:10.1093/jrsssc/qlaf068