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The marker term was not significant, and its presence made almost no change in the other model coefficients (data not shown), which we interpret to mean that the data set is too small to examine this hypothesis in detail.
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This study does not provide definitive findings on the value of developing individual site models compared to simply applying coefficients from multisite or national model coefficients to local data.
Therefore, we applied the estimated model coefficients to the data of PLWH who were lost to follow-up to calculate their respective probability of being dead by the end of follow-up.
The converted model SH-coefficient data sets cover the period from March 2009 to February 2011, with that of January 2011 excluded due to the absence of GRACE data for this month.
To compare alternative models, we used a cross-validation approach in which we fit model coefficients on half the data set (training set) and assessed model predictions against the other unseen half (test data set) to estimate a cross-validated R (Experimental Procedures).
The dynamic implementation of the model relies on multiple filtering in order to determine model coefficients from the resolved data.
The model coefficients were obtained using data from both the CM1 and CM2 channels.
The model coefficients estimated for individual data of study area are presented in Table 3.
Similarly, when excluding MetS, logistic model coefficients were almost unchanged (data not shown).
Future work entails regular updating of ADNEX model coefficients using newly collected data, and monitoring of model performance.
Transaction data, Market Model coefficients and, estimated through linear regression and General Index (GI) data were then combined to form the final dataset of the Data Selection process.
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CEO of Professional Science Editing for Scientists @ prosciediting.com