Calculates indirect treatment effect comparing A vs C through common comparator B using the Bucher method (anchored indirect comparison).
Usage
indirect_comparison(
effect_ab,
se_ab,
effect_bc,
se_bc,
effect_measure = c("hr", "or", "rr", "rd", "md", "smd"),
conf_level = 0.95,
label_a = "A",
label_b = "B",
label_c = "C"
)Arguments
- effect_ab
Effect estimate for A vs B comparison
- se_ab
Standard error for A vs B
- effect_bc
Effect estimate for B vs C comparison
- se_bc
Standard error for B vs C
- effect_measure
Character. Effect type: "hr", "or", "rr", "rd", "md", "smd"
- conf_level
Numeric. Confidence level. Default: 0.95
- label_a
Character. Label for treatment A. Default: "A"
- label_b
Character. Label for treatment B (comparator). Default: "B"
- label_c
Character. Label for treatment C. Default: "C"
Examples
# Bucher indirect comparison: Drug A vs Drug B via Placebo
# Drug A vs Placebo: HR = 0.75
# Drug B vs Placebo: HR = 0.85
result <- indirect_comparison(
effect_ab = log(0.75),
se_ab = 0.12,
effect_bc = log(0.85),
se_bc = 0.10,
effect_measure = "hr",
label_a = "Drug A",
label_b = "Placebo",
label_c = "Drug B"
)
result@estimate
#> [1] 0.8823529
result@ci
#> [1] 0.6496514 1.1984068