A Poisson regression model predicts the number of postoperative complications (Y ) using surgical duration (X ) with the following equation:log ⁡ ( λ ) = 0.2 X + 1.5 Calculate the expected number of complications (λ λ) for a surgery lasting 4 hours. Round to the nearest whole number.

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 examining BMI as a predictor of difficult intubation, an odds ratio (OR) of 2.5 means:

When analyzing postoperative infections among ICU patients, a Poisson regression coefficient (β 1 ​) of 0.3 for length of stay implies:

What is the main advantage of Full Information Maximum Likelihood (FIML) over simple imputation?

In a meta-analysis comparing supraglottic devices to endotracheal intubation for emergency airway management, an I² statistic of 85% indicates:

Which of the following is an assumption of the Cox proportional hazards model?

Which of the following methods adjusts for publication bias in meta-analysis?

In a logistic regression model evaluating BMI as a predictor of difficult intubation, the coefficient for BMI (b 1 ) is 0.75. Calculate the odds ratio for a 5-unit increase in BMI.Odds Ratio=eb1​⋅5

When adding patient age as a second predictor in a regression model for surgical duration, what does an increase in adjusted R-squared indicate?