UTI dipstick tests, and the effects of staff turnover on patients
Talk Evidence
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Understanding Confounding Factors in Observational Studies
This chapter explores the intricacies of developing a linear regression model in observational studies, emphasizing the importance of identifying and accounting for confounding factors. By examining time-varying confounders through a relatable example, it elucidates the complexities that can influence the relationship between exposure and outcome.
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