 Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Songthip Ounpraseuth and Tremaine Williams.
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Connection Strength |
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0.175 |
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Garza MY, Williams T, Ounpraseuth S, Hu Z, Lee J, Snowden J, Walden AC, Simon AE, Devlin LA, Young LW, Zozus MN. Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis of Manuscripts Identified Through PubMed. Res Sq. 2023 Dec 21.
Score: 0.061
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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: 0.058
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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: 0.056
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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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