Your English writing platform
Discover LudwigExact(12)
By focusing on a well defined highly inbred population such as AJ, taking into account population substructure, and with adequate matching and statistical analysis adjustments, the genetic determinants of a particular phenotype may be more homogeneous and hence more clearly identified, and conversely false positive associations due to population stratification can be avoided.
After an unadjusted analysis, adjustments for age, sex, smoking, HbA1c, BMI, and LDL levels were incorporated.
Besides crude analysis, adjustments were made for ethnicity (categorical), maternal age (categorical) and social status (in quartiles).
In multivariate regression analysis adjustments were made for confounding variables as age, gender, body height and weight.
The covariates chosen for multivariate analysis adjustments were based on biological associations deemed important in assessing menstrual factors and survival.
Hence in the last two steps of the mediation analysis, adjustments for CRP and SJC were made.
Similar(48)
In the logistic regression analysis adjustment for age and sex made little difference to the results and, therefore, adjusted odds ratios only are presented.
Special features provide the analysis' adjustment to the concrete problem setting.
In multivariate analysis, adjustment for age and BMI was performed in model 1.
Unmatched analysis; Adjustment for family history, soldering fumes, solvents, education, and for age, sex, country.
SensA can contribute to the analysis, adjustment and understanding of mathematical models for dynamic systems.
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