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Skip search results from other journals and go to results- 6 Journal of Medical Internet Research
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Independent sample 2-sided t tests and chi-square tests (or Fisher exact test) were used to examine the continuous or categorical variables between the 2 groups at baseline. The statistical assumption of analysis of covariance is that the covariates are correlated with the dependent variable [39]. The demographic or clinical variables (including age and cancer stage) were not added as covariates because no association was found between these variables and the primary outcome (uncertainty in illness at T1).
J Med Internet Res 2023;25:e49939
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All baseline demographic characteristics, clinical variables, and baseline outcomes were compared using independent samples t test for continuous variables and chi-square test or Fisher exact test for categorical variables between the randomized assigned groups, as well as between participants who completed all follow-ups and who dropped out.
JMIR Mhealth Uhealth 2018;6(4):e104
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Inferential statistics such as ANOVA will be used to analyze the differences of baseline outcomes among the three groups, whereas chi-square tests will be used to compare the sociodemographics among the three groups.
To answer the hypothesis 1, repeated measures ANCOVA, adjusted for confounding variables (eg, age, ethnicity), will be used to test the effects of both interventions on maternal self-efficacy, social support, postnatal depression, and anxiety across four time points.
JMIR Res Protoc 2018;7(1):e35
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Differences in demographic characteristics between the two groups were examined by a chi-square test and t test. Interrater reliability was assessed using ICC. Changes between baseline and posttest scores were determined by a paired t test. Analysis of covariance (ANCOVA) was performed to evaluate the posttest scores between groups with baseline scores as a covariate. The comments for the two open-ended questions were coded and analyzed for recurring themes.
J Med Internet Res 2015;17(1):e5
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