Too small sample size and/or the inadequate controlling for certain confounders such as age, gender, alcohol consumption and cigarette smoking may contribute to differing results.
Moreover, inadequate study design such as a too-small sample size and/or the inadequate controlling for certain confounders (such as age and gender) should also be considered as constituting the underpinning for such differing results.
Birth weight strata of hospital controls suggested a dose response effect for IL, and also for ALL and AML subtypes after adjusting for certain confounders.
The authors concluded that the lack of adjustment for certain confounders might have influenced their findings.
This analysis was conducted with the Project RED data set, which included, and allowed controlling for certain clinical and social confounders in our analysis such as subjects' comorbidity burden, depression symptoms, homelessness, substance abuse and other similar risk factors, in our analysis.
Our basic specification is first estimated using Ordinary Least Squares to control for observable confounders.
Observational studies should adequately control for relevant confounders (eg, baseline comorbidities) and assess effect modification in the analysis.
Now it might sound odd, that we would also need to control for genetic confounders while studying genetics.
Studies vary in the number of subjects, cohort characteristics, measurement of exposure and control for potential confounders.
To control for potential confounders, the RH, long-term and seasonal trends, day of the week (DOW), and holidays were introduced into the model simultaneously.
