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Change from baseline in MADRS total score was compared between treatment groups with last observation carried forward (LOCF) in the intent-to-treat (ITT) population, using an analysis of covariance model with baseline MADRS as a covariate and treatment as a fixed effect.
In comparison of the performances of the full-spectra (680 950 nm) PLS regression model and the feature wavelengths PLS regression model showed that the MC-UVE GA PLS MC-UVE GA PLSseline offset correction comodeld multiplicative scatter correction (MSC) pretreatment withmuch baselinend 14 variables in toffsetere selecorrection
Propensity score, which is the probability that a patient will receive low-dose hydrocortisone, was assessed using a logistic regression model with baseline covariates as explanatory variables and treatment with low-dose hydrocortisone as the outcome.
We used an AnCova model with baseline values (t1) as nuisance parameter to control for the different brain size between females and males.
Addition of the 5 laboratory test results to a model with baseline clinical and demographic characteristics increased the c statistic from 0.72 to 0.81 for 30-day mortality model and from 0.69 to 0.76 for one-year mortality model with both increases highly statistically significant (both p-values <0.0001).
For each scaled measure, the model with baseline and longitudinal group differences was fitted.
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This was done for PFS and OS Cox models with baseline markers (standard Cox model) and TVC.
Total cost was predicted, adjusting for covariates using Generalized Linear Models, with baseline stage as the independent variable.
Analysis of covariance models with baseline clinical measurement groups as the main effects in the model were used.
Accordingly, at the first stage, crude oil prices were modeled with baseline GARCH models with fractional integration and asymmetric power terms.
Analysis of covariance models with baseline clinical measurement group as the main effects in the model were used, adjusting for age and gender.
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