Publication Category: Methods/Informatics

Stakeholder engagement infrastructure to support multicenter research networks: Advances from the clinical research networks participating in PCORnet

Cope EL, McTigue KM, Forrest CB, Carton TW, Fair AM, Goytia C, Harrington JM, Lowe S, Merritt JG, Shenkman EA, Stephens WJ, Templeton A, Williams NA, Zemon N, Millender S, Angove RSM. Stakeholder engagement infrastructure to support multicenter research networks: Advances from the clinical research networks participating in PCORnet. Learn Health Syst. 2022 May 12;7(1):e10313. […]

a Surrogate-Assisted Two-wave case boosting sampling method, with application to EHR-based association studies

Liu X, Chubak J, Hubbard RA, Chen Y. SAT: a Surrogate-Assisted Two-wave case boosting sampling method, with application to EHR-based association studies. J Am Med Inform Assoc. 2022 Apr 13;29(5):918-927. doi: 10.1093/jamia/ocab267. PMID: 34962283; PMCID: PMC9714591

Using a Multi-Institutional Pediatric Learning Health System to Identify Systemic Lupus Erythematosus and Lupus Nephritis: Development and Validation of Computable Phenotypes.

Wenderfer SE, Chang JC, Goodwin Davies A, Luna IY, Scobell R, Sears C, Magella B, Mitsnefes M, Stotter BR, Dharnidharka VR, Nowicki KD, Dixon BP, Kelton M, Flynn JT, Gluck C, Kallash M, Smoyer WE, Knight A, Sule S, Razzaghi H, Bailey LC, Furth SL, Forrest CB, Denburg MR, Atkinson MA. Using a Multi-Institutional Pediatric […]

Multisite learning of high-dimensional heterogeneous data with applications to opioid use disorder study of 15,000 patients across 5 clinical sites

Liu X, Duan R, Luo C, Ogdie A, Moore JH, Kranzler HR, Bian J, Chen Y. Multisite learning of high-dimensional heterogeneous data with applications to opioid use disorder study of 15,000 patients across 5 clinical sites. Sci Rep. 2022 Jun 30;12(1):11073. doi: 10.1038/s41598-022-14029-9. PMID: 35773438; PMCID: PMC9245877

Privacy-preserving harmonization via distributed ComBat

Chen AA, Luo C, Chen Y, Shinohara RT, Shou H; Alzheimer’s Disease Neuroimaging Initiative. Privacy-preserving harmonization via distributed ComBat. Neuroimage. 2022 Mar;248:118822. doi: 10.1016/j.neuroimage.2021.118822. Epub 2021 Dec 25. PMID: 34958950; PMCID: PMC9802006

ODACH: a one-shot distributed algorithm for Cox model with heterogeneous multi-center data

Luo C, Duan R, Naj AC, Kranzler HR, Bian J, Chen Y. ODACH: a one-shot distributed algorithm for Cox model with heterogeneous multi-center data. Sci Rep. 2022 Apr 22;12(1):6627. doi: 10.1038/s41598-022-09069-0.PMID: 35459767; PMCID: PMC9033863

A cost-effective chart review sampling design to account for phenotyping error in electronic health records (EHR) data

Yin Z, Tong J, Chen Y, Hubbard RA, Tang CY. A cost-effective chart review sampling design to account for phenotyping error in electronic health records (EHR) data. J Am Med Inform Assoc. 2021 Dec 28;29(1):52-61. doi: 10.1093/jamia/ocab222. PMID: 34718618; PMCID: PMC8714286

Applied Methods for Estimating Transition Probabilities from Electronic Health Record Data

Rodriguez PJ, Ward ZJ, Long MW, Austin SB, Wright DR. Applied Methods for Estimating Transition Probabilities from Electronic Health Record Data. Med Decis Making. 2021 Feb;41(2):143-152. doi: 10.1177/0272989X20985752. PMID: 33563111

Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm

Duan R, Boland MR, Liu Z, Liu Y, Chang HH, Xu H, Chu H, Schmid CH, Forrest CB, Holmes JH, Schuemie MJ, Berlin JA, Moore JH, Chen Y. Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm. J Am Med Inform Assoc. 2020 Mar 1;27(3):376-385. doi: 10.1093/jamia/ocz199. PMID: 31816040; PMCID: […]

Development and evaluation of an EHR-based computable phenotype for identification of pediatric Crohn’s disease patients in a National Pediatric Learning Health System

Khare R, Kappelman MD, Samson C, Pyrzanowski J, Darwar RA, Forrest CB, Bailey CC, Margolis P, Dempsey A; And the PEDSnet Computable Phenotype Working Group. Development and evaluation of an EHR-based computable phenotype for identification of pediatric Crohn’s disease patients in a National Pediatric Learning Health System. Learn Health Syst. 2020 Aug 28;4(4):e10243. doi: 10.1002/lrh2.10243. […]