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* Mixed effect linear regression model (after natural log-transformation).
*Estimated by fitting multilevel mixed effect linear model, with clustering at hamlet and household level.
*Estimated by fitting multilevel mixed effect linear model, with clustering at village and household level.
†Estimated with multilevel mixed effect linear regression adjusting for baseline Hb status and clustering at the school and county level.
Mixed effect linear regression models included group and age of the child and interactions between group and age of the child.
Data will be analyzed using mixed effect linear models to exclude any 'carry-over' and 'temporal' effect of the treatment and to test the time effect of TN.
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A mixed effects linear model similar to that used by Keller et al (2000) compared the treatment groups using the self-reports (IDS-SR30, QIDS-SR16, and PGI-I) and the clinician rating (HDRS24) in the ITT sample.
Data were analyzed using mixed effects linear regression models or a Poisson model for the outcome of retraining.
Femoral angle measurements were analysed using a mixed effects linear model for repeated measures to determine the levels of intra-observer agreement (repeatability) and inter-observer agreement (reproducibility).
Both analyses were performed using mixed effects linear and generalized models.
An analysis of covariance (ANCOVA) mixed effects linear model was used to compare mean longitudinal changes in REE and RER.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com