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Table 2 Types of outcomes and corresponding link functions and likelihood distributions available within BUGSnet

From: BUGSnet: an R package to facilitate the conduct and reporting of Bayesian network Meta-analyses

Type of Outcome

Arm-Level

Data Required

Distribution Family

Link function

Measure of effect

Assumption on follow-up time

Continuous

Mean & Standard Error

Normal

Identity

Mean Difference

Outcome is unrelated to follow-up time

Dichotomous

Events &

Sample Size

Binomial

Logit

Odds Ratio

Log

Risk Ratio

Events &

Sample Size &

Median

Follow-Up Time

Complementary

log-log

Hazard Ratio

Event rates are constant over the duration of follow-up

Count

Events & Person-Time at Risk

Poisson

Log

Rate Ratio