Sentence examples for multivariable adjustment includes from inspiring English sources
Multivariable adjustment includes age, sex, ethnicity, race, Medicaid coverage, region of residence, primary cause of dialysis, CVD comorbidity, functional impairment, serum albumin, serum creatinine, hemoglobin, primary dialysis setting, predialysis nephrology care, initial type of dialysis access and incident ESRD year.
For each model multivariable adjustment includes age, sex, ethnicity, race, Medicaid coverage, region of residence, primary cause of dialysis, CVD comorbidity, functional impairment, serum albumin, serum creatinine, hemoglobin, primary dialysis setting, predialysis nephrology care, initial type of dialysis access and incident ESRD year.
Multivariable adjustment included all demographic, health and treatment factors described above.
These associations were attenuated and no longer statistically significant after multivariable adjustment including mean 24-h24-h.
Sequentially, we began our multivariable adjustment including only cardiac or only noncardiac comorbidities in separate models.
This association was no longer statistically significant after multivariable adjustment including mean 24-h24-h.
These differences were not statistically significant after further multivariable adjustment including 24-h mean SBP.
Multivariable adjustment including mutual adjustment for volume (LTPA) and intensity (walking speed and jogging) attenuated associations slightly (figure 2).
After multivariable adjustment including eGFR, there was no longer any gender difference in early outcome and the long-term outcome was better in women.
After multivariable adjustment, including body size (model 3), there was a positive association of the lipophilic index with fetuin-A in men (p for trend across quartiles <0.001) and a slight positive association with HDL-cholesterol in women (p = 0.002).
After multivariable adjustment, including in the model the previous diagnosis of diabetes, metabolic syndrome was associated with increased risk of cardiovascular mortality in all subjects but not in men and women separately.
