Blog

In a study of preoperative hemoglobin levels and postoperative recovery time, the y-intercept of the regression line represents:

A nurse anesthetist is analyzing the relationship between patient weight (kg) and required propofol dose (mg) using the regression equation: Dose=2.5×Weight+50Predict the propofol dose for a patient weighing 80 kg. Enter a whole number only.

In a regression model for predicting extubation time, which assumption must hold true for residuals?

If a nurse anesthetist uses a regression model to predict fluid requirements based on patient weight, what does a significant p-value for weight indicate?

Multicollinearity in a logistic regression model can:

Given the following data:Observed agreement (Po) = 0.72Expected agreement (Pe) = 0.50Calculate Cohen’s kappa (K). K= (Po−Pe) / (1 – Pe)

In a study predicting postoperative nausea and vomiting (PONV) based on anesthesia type and duration, how would you include anesthesia type (categorical variable) in the regression model?

A systematic review finds a pooled odds ratio of 1.8 (95% CI: 1.2–2.6) for the likelihood of successful intubation using video laryngoscopy compared to direct laryngoscopy. What does this indicate?

You are evaluating inter-rater reliability for two nurse anesthetists assessing the Mallampati score in 50 patients. The observed agreement (Po) between the two raters is 0.84. The expected agreement (Pe), based on chance, is 0.60. Calculate Cohen’s kappa (K).K= (Po−Pe) / (1 – Pe)

When interpreting logistic regression coefficients, what does the exponential of the coefficient represent?