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1 h patient, and the paired-t test was used to analyse the data.
2 ses using random effects models were used to analyse the data.
3 , and develop a software package (rgenie) to analyse the data.
4 d generalised linear mixed-effects models to analyse the data.
5 t tests, chi(2), and Fisher's exact tests to analyse the data.
6 at no two teams chose identical workflows to analyse the data.
7 unity participation theoretical framework to analyse the data.
8 SPM99 software was used to analyse the data.
9 tative synthesis of the evidence was used to analyse the data.
10 us groups, and thematic analysis was used to analyse the data.
11 models, stratified by trial, were applied to analyse the data.
12 ogistic regression analysis were utilized to analyse the data.
13 sequence whole genomes as well as store and analyse the data.
14 sked to the statistician and researchers who analysed the data.
15 and statisticians involved in processing and analysing the data.
16 the interventions, and those collecting and analysing the data.
22 f differential staging of prostate cancer by analysing the data both by intention to treat and by tre
26 A thematic codebook approach was used to analyse the data combining inductive and deductive codes
30 sian statistical modelling to simultaneously analyse the data from 164 HPV infections from 76 partici
32 a successful outcome, it may be necessary to analyse the data in different ways and compare the resul
34 t on domain orientation in the enzyme and we analyse the data in terms of a two-state equilibrium bet
35 om misapprehensions about the correct way to analyse the data, including disaggregation or pooling by
42 ntrolled, interrupted time series regression analyses, the data source was Kantar WorldPanel's househ
44 database, to pre-process, quality assess and analyse the data, to perform functional analyses, and to
53 Using random forest regression models to analyse the data, we show that toxicity is closely corre
54 and clinical research organisation staff who analysed the data were all masked to the treatment assig
55 patients and investigators who recorded and analysed the data were masked for group assignment, whic
57 ients, physicians, and the investigators who analysed the data were masked to treatment allocation.
58 vestigators, and individuals who handled and analysed the data were masked to treatment assignment.
61 the dietary intervention, but investigators analysing the data were masked from the randomisation or
63 stigators, patients, and those collecting or analysing the data were masked to treatment assignment.
66 ent literature suggests that a better way to analyse the data would be to create random trees from th