Skip to contents

A simulated 12-study meta-analysis of a binary outcome (postoperative nausea and vomiting) used to demonstrate bayesma workflows for binomial likelihoods.

Usage

binary_outcome

Format

A tibble with 12 rows and 18 columns:

Author

Character. Study author/identifier.

Year

Numeric. Publication year.

Subgroup

Character. Surgical specialty subgroup.

Control

Character. Control intervention label.

Intervention

Character. Active intervention label.

N_Total

Numeric. Total sample size.

N_Control

Numeric. Control arm sample size.

N_Intervention

Numeric. Intervention arm sample size.

Event_Control

Numeric. Events in control arm.

Outcome_Control_No

Numeric. Non-events in control arm.

Event_Intervention

Numeric. Events in intervention arm.

Outcome_Intervention_No

Numeric. Non-events in intervention arm.

D1, D2, D3, D4, D5

Character. Risk-of-bias domain judgements: "Low", "Some concerns", or "High".

Overall

Character. Overall risk-of-bias judgement.

Source

Simulated.