As with the final CFA model, we performed a Monte Carlo analysis to assure that the parameters of the MIMIC model with DIF adjustment were estimated with sufficient power and accuracy.
A formula for the ratio of the monthly maxima at durations shorter than 24 h, down to 6 min, to the 24 h monthly maximum, in terms of: duration, month of the year, and a site specific adjustment is estimated.
This adjustment was estimated based on a previous survey of CT examination techniques [ 10].
Adjustments parameters were estimated for each CTD-SRDLs separately by comparisons of salinity measurements with available data in the World Ocean Database35.
Adjustment factors were estimated to align allometric- and climate-derived estimates: {text{AdjFactor}} = frac{{text{BGC}}_{{rm Clim}}}{{text{BGC}}_{{rm NGHGI}}} (4 where AdjFactor is the ratio of climate- to allometric-derived belowground C for a specific forest type found in a given geographic region.
The predicted probabilities of mortality and maintainability required for risk-adjustment purposes were estimated using the logistic regression model, and the predictive power of the model was measured using the c-statistics.
Significant effects after adjustment for age were estimated for receiving social security or disability pension (PR 2.0; 95% CI 1.6 to 2.5, N=567), for being unemployed (PR 1.6; 95% CI 1.2 to 2.0, N=503) and for being full-time household workers (PR 1.2; 95% CI 1.0 to 1.5, N=1713).
For risk adjustment, propensity scores were estimated for long term use and late use in separate logistic regression models based on variables including age, geographic region, race, diagnoses of pain conditions, calendar year of delivery, and additional risk factors for neonatal abstinence syndrome.
For the bias-adjustment, logistic regression models were estimated to predict inclusion in the final sample using a number of indicators of family adversity in childhood (good predictors of subsequent dropout).
Again ORs were estimated after adjustments for all other risk factors studied.
