Your English writing platform
Discover LudwigSuggestions(1)
Exact(4)
Relying on routine medical diagnosis introduced a potential source of misclassification of kidney disease status for seven studies. 5 16–19 21 24 There was variable adjustment for confounding, from unadjusted crude estimates to estimates adjusted for a range of comorbidities, demographic and socioeconomic factors.
Variable adjustment for confounding and disparate analytic strategies (due to the nature of studies included) means that caution is needed in direct comparisons between studies.
Further studies are needed to determine risk prediction ability of this marker, with clearer description of the study population and variable adjustment for simple clinical risk factors, such as age, sex, smoking habits, diabetes, obesity, and lipid panel abnormalities.
Assessment of the literature relating to occupational solar radiation is often hampered by inadequate definition of the type of skin cancer studied, the use of different methods for assessing exposure and variable adjustment for non-occupational exposure (if any) and other risk factors.
Similar(56)
Risk estimates were adjusted only for the randomisation stratification variables; adjustment for a range of other sociodemographic and lifestyle factors had little effect.
Interestingly, our observations were sensitive to two specific variables – adjustments for QALY after surviving sepsis and the incidence of sepsis due to candidemia.
Multivariable linear regression models were run to examine the relationship between C-IMT (dependent variable) and serum osteocalcin level (independent variable) after adjustment for other variables.
Adjusted ORs give estimated effects of each variable after adjustment for all other variables.
Full models were then fitted to calculate hazard ratios for each baseline variable with adjustment for other confounding variables.
None of these expression markers had a significant impact on RFS (taken as continuous variables, or binary variables, with adjustment for tumour staging).
*latent class 2 as reference; **adjusted for all variables After adjustment for all variables, age and gender effect were attenuated, while education and the history of rheumatic disease as the major determinants.
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