arXiv (All)
open access
Robust Estimation and Inference in Hybrid Controlled Trials for Binary Outcomes: A Case Study on Non-Small Cell Lung Cancer
Hybrid controlled trials (HCTs), which augment randomized controlled trials (RCTs) with external controls (ECs), are increasingly receiving attention as a way to address limited power, slow accrual, and ethical concerns in clinical research. However, borrowing from ECs raises critical statistical ch
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Integrating Tobacco Treatment Into Cancer Care: A Randomized Controlled Comparative Effectiveness Trial#1370506
- First-line sugemalimab plus chemotherapy for metastatic non-small-cell lung cancer: an updated cost-effectiveness analysis based on 4-year survival data#458447
- A Study to Compare the Similarity in Efficacy and Safety Between TRS003 and China-approved Bevacizumab® in NSCLC#1212354
- Precision Prevention Strategy to Increase Uptake and Engagement in Lung Cancer Screening and Smoking Cessation Treatment#1259329
- Evidence for risk of bias in cluster randomised trials: review of recent trials published in three general medical journals#169952
Record · ID 1200753
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive