Sentence examples for longitudinal data analyzed from inspiring English sources

The paucity of longitudinal data analyzed by sex limits our ability to confirm this hypothesis.

Parameters (Hb0, PLT0, koutPLT, koutHb, IC50Peg-IFN, IC50RBV) were estimated using longitudinal data analyzed by nonlinear mixed-effect models with the Stochastic Approximation Expectation Minimization (SAEM) algorithm in MONOLIX v. 4.2 (http://www.lixoft.eu), assuming exponential random effects models and additive error models.

Longitudinal data were analyzed with linear mixed models to examine change in grief by condition across the study period and the effect of the intervention on grief through its interaction with psychiatric distress.

It examined the impact not only of adding children to a family but also of subtracting them — the Empty Nest, quantified with longitudinal data and analyzed with reference to Lagrangean multipliers and the Ashenfelter dip.

To assess the added value of multiple imputation (MI) of missing repeated outcomes measures in longitudinal data sets analyzed with linear mixed-effects (LME) models.

In order to take into account the pre-existing abilities of exposed and reference workers, and investigate the neurobehavioral changes over time, longitudinal data were analyzed by a two-stage regression model and analysis of variance for repeated measures (MANOVA).

The fact that longitudinal data is analyzed also raises the question whether the errors are auto-correlated.

Longitudinal data were analyzed using repeated measures ANOVA with the Bonferroni post-hoc test for pairwise comparisons.

Linear longitudinal data were analyzed with repeated-measures ANCOVA.

Longitudinal data were analyzed using generalized estimating equations (GEE) [ 14].

Though we utilized longitudinal data, we analyzed the data in a cross-sectional fashion.