- sendigR - Enable Cross-Study Analysis of CDISC SEND Datasets
- SENDsanitizer
- xptcleaner
- haven
- read and write xpt file with haven
- Hmisc::sasxport.get()
- SASxport::read.xport() and SASxport::write.xport()
- foreign::read.xport()
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Cross study analyses of SEND data: toxicity profile classification
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sendigR: an R package to leverage the value of CDISC SEND datasets for cross-study analysis
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Making sense of SEND; the Standard for Exchange of Nonclinical Data
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The Standard for the Exchange of Nonclinical Data (SEND): Challenges and Promises
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SEND harmonization & cross-study analysis: A proposal to better harvest the value from SEND data
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Specific pathologist responses for Standard for Exchange of Nonclinical Data (SEND)
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Regulatory Forum Commentary*: Through the Looking Glass SENDing the Pathology Data We Have INHAND
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Data Standardization, Pharmaceutical Drug Development, and the 3Rs
- Toxicological Sciences from SOT
- International Journal of Toxicology (IJT) form ACT
- Regulatory Toxicology and Pharmacology
- Toxicologic Pathology
- Journal of Toxicologic Pathology
- Toxicology and Applied Pharmacology
- Frontiers in Toxicology
- Chemical Research in Toxicology ACS
- Clinical Toxicology
- Critical Reviews in Toxicology
- Trends in Pharmacological Sciences
- Annual Review of Pharmacology and Toxicology
- Reproductive Toxicology
- Neurotoxicity Research
- Cardiovascular Toxicology
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Most Common Issues with CDISC-SEND Data in FDA Toxicology Review
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Data Visualization with SEND Data to See What Happened at the Preclinical Phase
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Best Practices for SEND Dataset Quality Control_https://www.pinnacle21.com/blog