Your English writing platform
Discover LudwigSuggestions(5)
Exact(48)
We analyzed the association between genetic variants and PSA levels using multivariate linear regression models, including age as a covariate.
Association between biomarkers of Hg exposure and oxidative stress were examined using multiple regression models, including age, gender, alcohol consumption, smoking status, fish consumption and then stratified for gender.
Significant reductions in both PPD and mBoP were seen at all time points relative to the baseline clinical measurements (p < 0.001) in both the unadjusted and adjusted models including age, gender and past smoking experience (Figs. 2 and 3).
Factors 1 and 2 from GSS were analyzed using linear regression models including age and affection status as covariates.
Propensity scores [28] for starting first HAART before or after pregnancy versus during pregnancy were derived from separate logistic regression models including age, race, baseline CD4+ lymphocyte count and HIV-1 RNA level, CD4+ lymphocyte count nadir, use of non-HAART ART, type of HAART regimen, prior pregnancies, and date of conception.
* Bivariable odds ratios are from the models including age.
Similar(12)
This model included age, gender, eGFR, proteinuria, serum albumin, and recurrence after transplantation [ 25].
The regression models included age, sex, hospital, unit type, and Charlson comorbidity index as covariates.
All adjusted models included age and sex.
All models included age, sex, and race.
aAdjusted analysis models include age at diagnosis.
More suggestions(15)
models incorporating age
models include age
sample including age
models including gene
models including iPhone
models including offline
models including study-level
models including advertising
models including interaction
models including trade
models including sex
models including treatment
models including breast
models including prostate
models including arthritis
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