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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.
7                                           We analysed the data according to the number of morbidities
8 f differential staging of prostate cancer by analysing the data both by intention to treat and by tre
9               It would be straightforward to analyse the data, but it is unlikely that the resulting
10 eration screen of the genome for linkage and analysed the data by multipoint linkage methods.
11            We used descriptive statistics to analyse the data collected during a period of 1 year, af
12                                           We analysed the data for descriptive measures of fatal and
13                                      Here we analyse the data from the Long Range Reconnaissance Imag
14 a successful outcome, it may be necessary to analyse the data in different ways and compare the resul
15         A variety of methods were applied to analyse the data in order to look at diversity within an
16 t on domain orientation in the enzyme and we analyse the data in terms of a two-state equilibrium bet
17                                      Here we analyse the data on Vesta and conclude that the crust-ma
18                                           We analysed the data on an intention-to-treat basis.
19 rt that the binomial is more appropriate for analysing the data than our resampling approach.
20 database, to pre-process, quality assess and analyse the data, to perform functional analyses, and to
21                We transcribed recordings and analysed the data using an interpretative phenomenologic
22                                           We analysed the data using two different approaches, based
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
25  all investigators other than the person who analysed the data were masked to allocation.
26 vestigators, and individuals who handled and analysed the data were masked to treatment assignment.
27 tion, but patients and the investigators who analysed the data were not.
28  the dietary intervention, but investigators analysing the data were masked from the randomisation or
29                     Moreover, we intended to analyse the data with joint independent component analys
30                                           We analysed the data with imaging software.
31 ent literature suggests that a better way to analyse the data would be to create random trees from th

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