Sentence examples for longitudinal data analyses from inspiring English sources

Bayesian Network modelling showed that cross-sectional and longitudinal data analyses generate contrasting information about the influence of different land uses on surface water pollution.

However, disease assessments (incidence and severity) were done three times and we used longitudinal data analyses to classify the varieties for resistance.

This sample size also allowed us to detect a two-fold reduction in gametocyte prevalence during the entire period of follow-up in longitudinal data analyses, assuming an average Pfs25 QT-NASBA gametocyte prevalence of 58% in SP+AS treated children [4], and a maximum correlation between observations of the same individual of 0.30.

Longitudinal data analyses included regression models with generalized estimating equations.

Longitudinal data analyses will be performed to examine precursors and outcomes of trajectories.

Dropouts were excluded from the longitudinal data analyses (see Figure  1).

Parametric longitudinal data analysed via two-factor (group, time) analysis of variance (ANOVA) with repeated measures on time using general linear modeling.

Longitudinal data were analysed by multivariate analyses of variance (MANOVA) from four measurement occasions at 2-year inter-intervals.

Secondly, we review the types of group-level analyses that can be conducted on longitudinal fMRI data, analyses which must account for repeated measures.

The longitudinal data were analysed using generalised estimating equations.

The longitudinal data were analysed using SITAR (Superimposition by Translation and Rotation) growth curve analysis.