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MAIC was originally proposed using the method of moments to estimate the weights, but more recently entropy balancing has been proposed as an alternative. Entropy balancing has an additional "optimality" property ensuring that the weights are as uniform as possible, reducing the standard error of the estimates.
In this brief method note, we show that MAIC weights are mathematically identical whether estimated using entropy balancing or the method of moments. Importantly, this means that the standard MAIC (based on the method of moments) also enjoys the "optimality" property. Moreover, the additional flexibility of entropy balancing suggests several interesting avenues for further research, such as combining population adjustment via MAIC with adjustments for treatment switching or non-parametric covariate adjustment.
- effect modification
- indirect comparison
- individual patient data
- matching‐adjusted indirect comparison
- population adjustment
FingerprintDive into the research topics of 'Equivalence of entropy balancing and the method of moments for matching-adjusted indirect comparison'. Together they form a unique fingerprint.
- 1 Finished
1/03/17 → 29/02/20
Phillippo, D. M., 28 Nov 2019
Supervisor: Welton, N. (Supervisor) & Dias, S. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)File