arXiv (OAI Expanded)
open access
One-step Outcome Imputation: An Alternative to Multiple Imputation
Missing outcomes in randomized controlled trials are often handled by multiple imputation (MI). Rubin's rules are routinely used to estimate standard errors but can fail to provide valid standard error estimates for some commonly used procedures, such as reference-based imputation. We propose a one-
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
- Flexible Multiple Imputation of Missing Data in Time-Structured Longitudinal Designs#433174
- Flexible Multiple Imputation of Missing Data in Time-Structured Longitudinal Designs#323797
- Young Survivors at Kantonsspital Aarau, Switzerland#1032286
- Evaluating the Cyclical Hybrid Imputation Technique (CHIT) under MCAR, MAR, and MNAR missing data mechanisms: Evidence from health datasets.#1147058
- Benchmarking imputation strategies for missing time-series data in critical care using real-world-inspired scenarios#254286
Record · ID 1069817
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