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Model fit will be tested using maximum likelihood estimations.
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The significance of variables was tested using maximum likelihood tests.
The model is tested using annual maximum series from 20 streamflow gauges located in an 83,000 km2 flood prone basin in Southeast Brazil.
Differences between survival rates were tested, using the Maximum Likelihood test of Wald, sandwich version.
The reduced questionnaire was tested using Robust Maximum Likelihood and the fit to the data was evaluated using goodness of fit indices.
The null hypothesis was tested using a maximum of 3 changes in slope with an overall significance level of 0.05 divided by the number of join points in the final model.
The primary end point was tested using a maximum likelihood-based mixed-model repeated-measures (MMRM) ANCOVA with change in HbA1c as the dependent variable; treatment, baseline HbA1c, country, week of visit, and treatment by week interaction as fixed effects; patient and error as random effects; and an unstructured variance/covariance matrix.
Factorial-construct validity was tested using CFA with a maximum-likelihood estimation method.
The possibility of a local maximum was tested using a quadratic term for year.
27 For confirmative proof of non-inferiority, the rate of clinical remission was tested using a χ test with maximum likelihood estimation according to Farrington and Manning, 28 and differences between the remission rates and corresponding 97.5% one-sided repeated confidence intervals (CIs) were provided.
Cognitive function was tested using the Cambridge Cognitive Examination (CAMCOG, maximum score 105) and the Mini-Mental State Examination (MMSE, maximum score 30).
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