𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A matching method for improving covariate balance in cost-effectiveness analyses

✍ Scribed by Jasjeet Singh Sekhon; Richard D. Grieve

Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
449 KB
Volume
21
Category
Article
ISSN
1057-9230

No coin nor oath required. For personal study only.

✦ Synopsis

SUMMARY

In cost‐effectiveness analyses (CEA) that use randomized controlled trials (RCTs), covariates of prognostic importance may be imbalanced and warrant adjustment. In CEA that use non‐randomized studies (NRS), the selection on observables assumption must hold for regression and matching methods to be unbiased. Even in restricted circumstances when this assumption is plausible, a key concern is how to adjust for imbalances in observed confounders. If the propensity score is misspecified, the covariates in the matched sample will be imbalanced, which can lead to conditional bias. To address covariate imbalance in CEA based on RCTs and NRS, this paper considers Genetic Matching. This matching method uses a search algorithm to directly maximize covariate balance.

We compare Genetic and propensity score matching in Monte Carlo simulations and two case studies, CEA of pulmonary artery catheterization, based on an RCT and an NRS. The simulations show that Genetic Matching reduces the conditional bias and root mean squared error compared with propensity score matching. Genetic Matching achieves better covariate balance than the unadjusted analyses of the RCT data. In the NRS, Genetic Matching improves on the balance obtained from propensity score matching and gives substantively different estimates of incremental cost‐effectiveness.

We conclude that Genetic Matching can improve balance on measured covariates in CEA that use RCTs and NRS, but with NRS, this will be insufficient to reduce bias; the selection on observables assumption must also hold. Copyright © 2011 John Wiley & Sons, Ltd.

📜 SIMILAR VOLUMES

Weighted variance FBAT: a powerful metho
Weighted variance FBAT: a powerful method for including covariates in FBAT analyses
✍ Ake Tzu-Hui Lu; Rita M. Cantor 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 155 KB

## Abstract The family‐based association test (FBAT), an extension of transmission/disequilibrium test, capitalizes on linkage disequilibrium to assess the association of genetic markers and traits in nuclear families. It does not permit a formal inclusion of covariates, although an offset under th

The Role of Zinc(II) in the Absorption–D
The Role of Zinc(II) in the Absorption–Desorption of CO2 by Aqueous NH3, a Potentially Cost-Effective Method for CO2 Capture and Recycling
✍ Fabrizio Mani; Maurizio Peruzzini; Francesco Barzagli 📂 Article 📅 2008 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 292 KB

## Abstract __The absorption of CO~2~ by aqueous NH~3~ solutions has been investigated at atmospheric pressure and 0 °C. The CO~2~ absorption is fast and occurs with high efficiency (88–99 %). The maximum CO~2~‐removal efficiency increases slightly with the NH~3~ concentration. Addition of zinc(II)

EMMA, a cost- and time-effective diagnos
EMMA, a cost- and time-effective diagnostic method for simultaneous detection of point mutations and large-scale genomic rearrangements: application to BRCA1 and BRCA2 in 1,525 patients
✍ Virginie Caux-Moncoutier; Laurent Castéra; Carole Tirapo; Dorothée Michaux; Mari 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 250 KB 👁 1 views

The detection of unknown mutations remains a serious challenge and, despite the expected benefits for the patient's health, a large number of genes are not screened on a routine basis. We present the diagnostic application of EMMA (Enhanced Mismatch Mutation Analysis(®) , Fluigent, Paris, France), a