Examining the Effect of Missing Data and Unmeasured Confounding on External Comparator Studies: Case Studies and Simulations
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DOI: 10.1007/s40264-024-01467-9
Abstract: Missing data and unmeasured confounding are key challenges for external comparator studies. This work evaluates bias and other performance characteristics depending on missingness and unmeasured confounding by means of two case studies and simulations. Two… read more here.
Keywords: case studies; external comparator; unmeasured confounding; missing data ... See more keywords
Estimating per-protocol effects in external comparator analyses using real-world data
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DOI: 10.57264/cer-2025-0029
Abstract: Analysis of single arm trials complemented with external comparator arms (ECAs) may be used to support evidence of effectiveness of novel therapies in oncology research when a randomized trial is unavailable or unfeasible. However, the… read more here.
Keywords: external comparator; protocol effects; estimating per; per protocol ... See more keywords