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1 t tests, chi(2), and Fisher's exact tests to analyse the data.
2 unity participation theoretical framework to analyse the data.
3 SPM99 software was used to analyse the data.
4 ses using random effects models were used to analyse the data.
5 d generalised linear mixed-effects models to analyse the data.
6 and statisticians involved in processing and analysing the data.
8 f differential staging of prostate cancer by analysing the data both by intention to treat and by tre
14 a successful outcome, it may be necessary to analyse the data in different ways and compare the resul
16 t on domain orientation in the enzyme and we analyse the data in terms of a two-state equilibrium bet
20 database, to pre-process, quality assess and analyse the data, to perform functional analyses, and to
23 Using random forest regression models to analyse the data, we show that toxicity is closely corre
24 and clinical research organisation staff who analysed the data were all masked to the treatment assig
26 vestigators, and individuals who handled and analysed the data were masked to treatment assignment.
28 the dietary intervention, but investigators analysing the data were masked from the randomisation or
31 ent literature suggests that a better way to analyse the data would be to create random trees from th
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