The phrase "comparisons of data between" is grammatically correct and can be used in written English.
It is commonly used when discussing the differences or similarities between two sets of data. Example: The study conducted comparisons of data between various age groups to determine the impact of social media on mental health.
Statistical comparisons of data between subsets of subjects (e.g. subjects with or without medical follow-up, initial vs. second questionnaire) were performed using the Z test.
Statistical comparisons of data between groups were calculated by Student's 2-tailed t-test.
Comparisons of data between YORA and LORA were made with independent and dependent t-tests and χ tests as appropriate.
Comparisons of data between groups were performed by using the Student t test or ANOVA for assessing variance.
Comparisons of data between the three groups were performed using one-way analysis of variance (anova) followed by Bonferroni's multiple comparison test.
Statistical comparisons of data between groups were performed using the χ test or Kruskal-Wallis test, followed by Dunn multiple comparisons test.
To address this problem a comprehensive multicenter study was designed to develop guidelines that limit experimental and data reporting variability and provide a foundation for accurate comparison of data between studies.
In order to facilitate comparison of data between laboratories the efficiency of five traps (Onderstepoort, Rieb, mini-CDC, Pirbright, BG-sentinel), used at present and in the past in Europe, was compared in the field in South Africa.
Comparison of data between survivors and nonsurvivors is summarized in Table 1.
A comparison of data between the two monitoring campaigns will be treated in a next paper.
Comparison of data between hospitals is not straightforward, since the calculation of overhead costs differs between hospitals.
