Methods to adjust for stratification variables in stratified cluster randomized trials

Health Services and Outcomes Research Methodology · Published 2025-06-08 · DOI 10.1007/s10742-025-00346-9

Authors being retrieved — see the publisher record. https://doi.org/10.1007/s10742-025-00346-9

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2025

Related articles

• Key factors behind the adoption of a patient-facing technology in primary care: a structured approach to variable importance · Health Services and Outcomes Research Methodology · 2025 · Same journal
• Stable balancing weighted effect curves: uniform inference and robust selection of an imbalance parameter · Health Services and Outcomes Research Methodology · 2026 · Same journal
• Identifying a valid comparison cohort to evaluate the impact of Veterans Affairs caregiver support services · Health Services and Outcomes Research Methodology · 2026 · Same journal
• Estimating an intervention’s effects on health care disparities within and between physician organizations: decomposing the effects of health system affiliation · Health Services and Outcomes Research Methodology · 2025 · Same journal
• Entropy balancing versus vector-based kernel weighting for causal inference in categorical treatment settings · Health Services and Outcomes Research Methodology · 2024 · Same journal
• Using balancing weights to compare performance across facilities providing family planning services in Kenya · Health Services and Outcomes Research Methodology · 2025 · Same journal
• Modeling the moderation: a comparative application of regression and grey relational analysis in healthcare · Health Services and Outcomes Research Methodology · 2026 · Same journal
• Deduplication methods for literature citations in systematic evidence reviews: practical insights to guide decision-making · Health Services and Outcomes Research Methodology · 2024 · Same journal
• Physician explanation of Z-coded homelessness in medicaid claims · Health Services and Outcomes Research Methodology · 2025 · Same journal
• A comprehensive survey of AI trust frameworks in healthcare: current state and future directions · Health Services and Outcomes Research Methodology · 2025 · Same journal