Examples of using Data were analysed using in English and their translations into French
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Data were analysed using Epi Info 2002.
The cleaned and coded data were analysed using SPSS 11.0.
Data were analysed using STATA 10.
The choice experiment data were analysed using a conditional logit model.
Data were analysed using NVivo(version 9.
The spasticity data were analysed using a general linear model.
Data were analysed using network analysis.
Qualitative data were analysed using the ground theory.
Data were analysed using Cochrane methods.
The qualitative data were analysed using QDA Miner 3.2.3.
Data were analysed using Cox regression.
Hence, data were analysed using time series.
Data were analysed using STATA version 10.
The data were analysed using Cox regression.
Data were analysed using a general linear model.
All data were analysed using Review Manager(RevMan) 5.
Data were analysed using SAS Enterprise Guide, version 5.1.
Data were analysed using negative binomial regression.
The data were analysed using modern survival statistics.
Data were analysed using Cochrane Review Manager(version 4.2.
Data were analysed using Cochrane Review Manager(version 4.2.
The data were analysed using the Cochrane Review Manager software.
Data were analysed using social network analysis(SNA) techniques.
The data were analysed using the Cochrane Review Manager software.
The data were analysed using Interpretative Phenomenological Analysis(IPA.
The data were analysed using the software program Atlas. ti.
A Data were analysed using a mixed model repeated measures(MMRM) approach.
The data were analysed using descriptive statistics and phi- coeffi cient.
Data were analysed using an inductive thematic approach with constant comparison.
Data were analysed using‘Tracks and Fields' and the results are shown in Figures 25 to 27.