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Everything about SDTM
Standard for experimental data tabulation
SDTM defines a standard structure for human clinical trial (study) data tabulations and for nonclinical study data tabulations that are to be submitted as part of a product application to a regulatory authority such as the United States Food and Drug Administration (FDA). The Submission Data Standards team of Clinical Data Interchange Standards Consortium (CDISC) defines SDTM. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: SDTMA 5-minute orientation
- Skim a recent paper: Evaluating the statistical utility and information loss in the transformation of a real-world oncology database from CDISC-SDTM to OMOP-CDMInfluential work since 2022
- Pick up a classic book: Implementing CDISC Using SASThe most-reprinted book on the subject
- Read the landmark paper: sDTM: A Supervised Bayesian Deep Topic Model for Text AnalyticsCited 44 times
- Go sideways: Clinical Data Interchange Standards ConsortiumA closely related topic
- Go sideways: Data definition specificationA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics
A pragmatic method for transforming clinical research data from the research electronic data capture “REDCap” to Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model (SDTM): Development and evaluation of REDCap2SDTM
Evolution and Implementation of the CDISC Study Data Tabulation Model (SDTM)
Seamless design-to-manufacture (SDTM)
Semi-automated Conversion of Clinical Trial Legacy Data into CDISC SDTM Standards Format Using Supervised Machine Learning
Implementation of Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model (SDTM) in Investigator-Initiated Studies on Hematologic Malignancies
SDTM: A Novel Topic Model Framework for Syndrome Differentiation in Traditional Chinese Medicine
Automated mapping of electronic data capture fields to SDTM
🆕 Influential since 2022
Evaluating the statistical utility and information loss in the transformation of a real-world oncology database from CDISC-SDTM to OMOP-CDM
A Comprehensive Guide to Generating SDTM Demographic Datasets Using R in Clinical Trials
Implementation of Clinical Data Interchange Standard Consortium (CDISC) standards to Real-World Data: Challenges and Strategies in SDTM Development in the Setting of Observational Studies
EPH91 Evaluate the Statistical Utility After Transformation of a CDISC SDTM Database Into OMOP CDM
La instilaciĂłn preoperatoria de epinefrina y lidocaĂna puede reducir el tiempo quirĂşrgico del tratamiento endoscĂłpico del SDTM
đź“š Books worth reading
Implementing CDISC Using SASChris Holland, Jack Shostak · 2013- 📕Modifikasi seni jemblung di PonorogoEko Wahyuni Rahayu · 2006
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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