Sentence examples for baseline variables that may from inspiring English sources
To identify baseline variables that may have been contributing to membership in a particular cluster, logistic regression (SAS® PROC LOGISTIC) with stepwise variable selection was used.
Primary analysis will use a linear mixed-model method for repeated data to test for between-group differences in neck and back disability separately at week 36, with baseline variables that may influence outcomes as covariates [[ 82],[ 83]].
Our study examined the impact of RUSG on the occurrence of complications following PDT, using propensity score analysis to account for any disparities in baseline variables that may have influenced selection of a particular technique.
For the primary analysis, a multiple regression model will be used to assess a change in VO2peak on study group, the baseline value of the endpoint, and other pertinent baseline variables that may influence change in the study endpoints (e.g., co-morbid conditions/medications, self-reported exercise history, age).
For the primary analysis, a multiple regression model will be used to regress change in VO2peak on study group, the baseline value of the endpoint, and other pertinent baseline variables that may influence change in the study endpoints (e.g., co-morbid conditions/medications, self-reported exercise history, age).
Lack of reported information on all key variables Provide adequate descriptions of the study sample (e.g., age, race, SES, gender, and % with work experience at baseline) and other relevant variables that may influence treatment effects (e.g., whether the intervention was theoretically underpinned, and implementation issues).
The regression model will allow controlling for the baseline value of the study endpoints and other confounding variables that may impact change in VO2peak (e.g., self-reported exercise history, age, prior treatment, exercise adherence).
The regression model will allow control for the baseline value of the trial endpoints and other confounding variables that may impact changes in sleep parameters (e.g. age and gender).
We will include as model covariates the baseline value of outcome variables and any socio-demographic or medical variables that may have differed by chance among the groups.
New experiments would be devised to account for variables that may have confabulated early results.
