Supplementary Materials for a Bayesian Network Meta-Analysis of Selpercatinib in NSCLC

Supplementary materials for a peer-reviewed article in the Journal of Comparative Effectiveness Research. The 1.1 MB collection includes 15 documents, such as systematic literature review criteria, program code for propensity score matching, and results from Bayesian network meta-analyses. Jessica E. Forsyth authored these materials, which were last updated on May 1, 2026.

Use Cases

• Replicate the two-stage Bayesian network meta-analysis method based on the provided program code for propensity score matching and weighting.
• Validate the construction of a pseudo comparator arm for single-arm trials using the described methodology from the KEYNOTE-189 trial and real-world data.
• Assess model fit and results for progression-free and overall survival hazard ratios using the included network meta-analysis assessment statistics and forest plots.

Strengths

• Includes 15 distinct supplementary documents covering methodology, code, and results from a peer-reviewed study.
• Provides specific hazard ratio results, such as 0.304 for progression-free survival of selpercatinib versus a common chemotherapy comparator.
• Materials are associated with a published article in the Journal of Comparative Effectiveness Research, suggesting academic review.

Limitations

• The 1.1 MB size suggests a small-scale supplementary document collection, not a primary research dataset.
• Column-level documentation and sample data are unavailable, requiring manual inspection of the DOCX files to understand data structures.
• Row count is unknown, which may limit suitability assessment for direct computational analysis.

Provenance

Source

figshare, as supplementary materials for a published journal article.

Collection Method

Created as part of a research study involving propensity score matching, weighting, and Bayesian network meta-analysis.

Freshness

Last updated 2026-05-01 11:23:44; freshness should be verified.