 Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Jessica Snowden and Maryam Garza.
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Connection Strength |
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0.747 |
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Garza MY, Williams TB, Ounpraseuth S, Hu Z, Lee J, Snowden J, Walden AC, Simon AE, Devlin LA, Young LW, Zozus MN. Comparing Medical Record Abstraction (MRA) Error Rates in an Observational Study to Pooled Rates Identified in the Data Quality Literature. Res Sq. 2023 Mar 27.
Score: 0.238
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Greer M, Garza MY, Lee J, Prior F, Tarbox L, Tobler J, Walden A, Zozus MN, Snowden J. Informatics infrastructure in a rural pediatric clinical trials network: Matching specific clinical research needs with best practices and industry guidelines. Contemp Clin Trials. 2023 03; 126:107110.
Score: 0.236
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Garza MY, Williams T, Myneni S, Fenton SH, Ounpraseuth S, Hu Z, Lee J, Snowden J, Zozus MN, Walden AC, Simon AE, McClaskey B, Sanders SG, Beauman SS, Ford SR, Malloch L, Wilson A, Devlin LA, Young LW. Measuring and controlling medical record abstraction (MRA) error rates in an observational study. BMC Med Res Methodol. 2022 08 15; 22(1):227.
Score: 0.228
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Zozus MN, Young LW, Simon AE, Garza M, Lawrence L, Ounpraseuth ST, Bledsoe M, Newman-Norlund S, Jarvis JD, McNally M, Harris KR, McCulloh R, Aikman R, Cox S, Malloch L, Walden A, Snowden J, Chedjieu IM, Wicker CA, Atkins L, Devlin LA. Training as an Intervention to Decrease Medical Record Abstraction Errors Multicenter Studies. Stud Health Technol Inform. 2019; 257:526-539.
Score: 0.044
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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