Suggestions(1)
Exact(1)
Data for standard dietary advice vs. oat-enriched diet treatments were also analysed with baseline measures as covariate.
Similar(59)
The following designs were tested: (i) cross-sectional analyses at baseline (n = 4569) and follow-up (n = 4122), (ii) prospective analyses with baseline predictors, (iii) prospective analyses with average exposure over time [(T1 + T2)/2] as predictor, and (iv) prospective analyses with measures of change in exposure from T1 to T2 as predictors.
We conducted additional analyses with baseline BMI categories with patients with "normal weight" as reference category.
The results from these analyses did not differ substantially from the analyses with baseline values carried forward.
We performed intention-to-treat analyses with baseline values carried forward in the case of missing values.
Thereafter we carried out multiple regression analyses with baseline values (age 5 months), sex, and parental level of education as covariates.
Multivariable logistic regression analyses, with baseline TST status as one outcome and longitudinal TST status (PTST-) as the other were initially conducted.
We analyzed the associations of isometric muscle strength and CRF in adolescence with fasting glucose, insulin, HOMA-IR, and HOMA-B in young adulthood using multiple linear regression analyses with baseline levels of respective variables included as a covariate.
Analysis of separate items involved group comparisons, using paired and unpaired tests, and regression analyses, with baseline measurements, control variables (sex, age and living together with care recipient) and the intervention as independent variables.
The analysis encompassed within and between groups analyses and regression analyses with baseline measurements, control variables (gender, age, co-residence with care receiver, income, education, having a life partner, employment and the duration of caregiving) and the intervention as independent variables.
In intent-to-treat analyses with baseline weight carried forward for missing data, IBI produced significantly larger mean (SD) weight losses than IDEA at 3 months (5.5 kg [4.4] vs. 1.3 kg [2.1]) and 6 months (5.4 kg [5.6] vs. 1.3 kg [4.1]) (P < 0.001).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com