Development and validation of coding algorithms to identify patients with incident lung cancer in United States healthcare claims data
Author:
Affiliation:
1. Eli Lilly and Company Indianapolis Indiana USA
2. DeLisle Associates LTD Indianapolis Indiana USA
3. University of Cincinnati James L. Winkle College of Pharmacy Cincinnati Ohio USA
Funder
Eli Lilly and Company
Publisher
Wiley
Subject
Pharmacology (medical),Epidemiology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/pds.5137
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1. A Checklist for Ascertaining Study Cohorts in Oncology Health Services Research Using Secondary Data: Report of the ISPOR Oncology Good Outcomes Research Practices Working Group
2. Determining the Time of Cancer Recurrence Using Claims or Electronic Medical Record Data
3. Accuracy of administrative databases in detecting primary breast cancer diagnoses: a systematic review
4. Administrative database research has unique characteristics that can risk biased results
5. Application of Recursive Partitioning to Derive and Validate a Claims-Based Algorithm for Identifying Keratinocyte Carcinoma (Nonmelanoma Skin Cancer)
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