The phrase "stratifying on" is grammatically correct and can be used in written English.
It is typically used in a statistical or research context to refer to grouping or categorizing data based on a specific variable. Example: The study analyzed the effects of the new medication by stratifying on age and gender, yielding significantly different results for older women compared to younger men.
Additionally, we run further analysis while stratifying on long term illness and we still observed significant associations between economic hardships and poor mental health.
Therefore, we used a stratified Cox model, stratifying on these covariates.
Therefore, we used a stratified Cox proportional hazards model, stratifying on surgery, platinum, chemotherapy and surgery.
The primary analysis of PFS will be performed using a stratified log-rank test, with one-sided Type I error of 0.1%, stratifying on randomization stratification factors.
The primary analysis of OS will be performed using a stratified log-rank test, with one-sided Type I error of 2.4%, also stratifying on randomization stratification factors.
Because we believe the online format is limited in its capacity to address teacher content knowledge, we will exclude teachers with very low mathematical knowledge for teaching, then randomly assign teachers to treatment and control conditions, stratifying on grade level.
Y.H. Cheung, J. Watkinson and D. Anastassiou, "Conditional meta-analysis stratifying on detailed HLA genotypes identifies a novel type 1 diabetes locus around TCF19 in the MHC, Human Geneticss, Vol. 129, No. 2, pp. 161-176 (2011).
Primary outcomes for the safety behaviors and device use will be assessed while stratifying on the index child age group.
However, only the full sample of cities is employed in this table, with (undisplayed) results from stratifying on city size or using a smaller set of city characteristics providing similar results for the purposes of this robustness check.
Dichotomous covariates, or covariates with only a few levels, can be included easily in these rare variant approaches by stratifying on them.
The CGH analysis was designed to include all of the MRSA isolates (n = 125) and a 50% random sample of the 244 MSSA isolates with non-missing spa and MLST types, stratifying on clinical severity.
