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The denominator of the stabilized weight for month m was calculated as the estimated probability of surviving from baseline until month m (6).
After 2 years, however, nearly all participants had stabilized weight or tended to exhibit slight weight regain, which is not consistent with muscle breakdown.
We applied the overall stabilized weight to polytomous logistic regression models for depression that contained the exposure of interest as the only explanatory variable in the same way that sampling weights are applied when analyzing data from complex survey sampling designs (Cole and Hernán 2008).
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We weighted the model used the stabilized weights by using the 'scwgt stabw' statement in the procedure.
We thus reran the analyses using such stabilized weights, but in our case, stabilization did not affect the results (data not shown).
The stabilized weights thus obtained (minimum = 0.9; maximum = 1.4; mean = 1) were then multiplied with the longitudinal grand sample weights for waves 1, 3, and 4 provided by the Carolina Population Center for the Add Health Study (GSWGT134).
Using non-truncated stabilized weights and various thresholds for truncating.
We used stabilized weights to adjust potential finite-sample bias attributable to having extreme weights.
We have used "stabilized" weights [[ 10], page 562] to reduce the variability of the estimates.
However, this could be addressed by using stabilized weights, as previously reported [ 26].
First, stabilized IPTWs and IPCWs were estimated, as stabilized weights have been shown to produce narrower confidence intervals with better coverage rates than unstablized weights [ 7, 10].
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