Toh, Darren | Digital Healthcare Research

Improving Missing Data Analysis in Distributed Research Networks

Description

This research developed, refined, and assessed the validity of methods for handling missing data in distributed data networks, without sharing individual-level data, to improve data quality and research validity.

Grant Number

R01 HS026214

Principal Investigator(s)

Toh, Darren

Use of linked databases for improved confounding control: Considerations for potential selection bias.

Citation

Sun JW, Wang R, Li D, Toh S. Use of linked databases for improved confounding control: Considerations for potential selection bias. Am J Epidemiol. 2022 Mar 24;191(4):711-723. doi: 10.1093/aje/kwab299. PMID: 35015823; PMCID: PMC9430441.

Principal Investigator

Toh, Darren

Project Name

Improving Missing Data Analysis in Distributed Research Networks

Improving Missing Data Analysis in Distributed Research Networks - Final Report

Citation

Toh D. Improving Missing Data Analysis in Distributed Research Networks - Final Report. (Prepared by Harvard Pilgrim Health Care Institute under Grant No. R01 HS026214). Rockville, MD: Agency for Healthcare Research and Quality, 2022.

Principal Investigator

Toh, Darren

Project Name

Improving Missing Data Analysis in Distributed Research Networks

Imputing missing covariates in time-to-event analysis within distributed research networks: A simulation study.

Citation

Li D, Wong J, Li X, Toh S, Wang R. Imputing missing covariates in time-to-event analysis within distributed research networks: A simulation study. Pharmacoepidemiol Drug Saf. 2023 Mar;32(3):330-340. doi: 10.1002/pds.5563. Epub 2022 Nov 30. PMID: 36380400.

Principal Investigator

Toh, Darren

Project Name

Improving Missing Data Analysis in Distributed Research Networks

Applying machine learning in distributed data networks for pharmacoepidemiologic and pharmacovigilance studies: Opportunities, challenges, and considerations.

Citation

Wong J, Prieto-Alhambra D, Rijnbeek PR, Desai RJ, Reps JM, Toh S. Applying machine learning in distributed data networks for pharmacoepidemiologic and pharmacovigilance studies: Opportunities, challenges, and considerations. Drug Saf. 2022 May;45(5):493-510. doi: 10.1007/s40264-022-01158-3. Epub 2022 May 17. PMID: 35579813; PMCID: PMC9112258.

Principal Investigator

Toh, Darren

Project Name

Improving Missing Data Analysis in Distributed Research Networks

Distributed Cox proportional hazards regression using summary-level information.

Citation

Li D, Lu W, Shu D, Toh S, Wang R. Distributed Cox proportional hazards regression using summary-level information. Biostatistics. 2022 Feb 23:kxac006. doi: 10.1093/biostatistics/kxac006. Epub ahead of print. PMID: 35195675.

Principal Investigator

Toh, Darren

Project Name

Improving Missing Data Analysis in Distributed Research Networks

Combining meta-analysis with multiple imputation for one-step, privacy-protecting estimation of causal treatment effects in multi-site studies.

Citation

Shu D, Li X, Her Q, Wong J, Li D, Wang R, Toh S. Combining meta-analysis with multiple imputation for one-step, privacy-protecting estimation of causal treatment effects in multi-site studies. Res Synth Methods. 2023 Sep;14(5):742-763. doi: 10.1002/jrsm.1660. Epub 2023 Aug 1. PMID: 37527843.

Principal Investigator

Toh, Darren

Project Name

Improving Missing Data Analysis in Distributed Research Networks