| replicate.oddsratio {vcmeta} | R Documentation |
Compares and combines odds ratios in original and follow-up studies
Description
This function computes confidence intervals for an odds ratio from an original study and a follow-up study. Confidence intervals for the ratio of odds ratios and geometric average odds ratio are also computed. The confidence level for the ratio of ratios is 1 – 2*alpha, which is recommended for equivalence testing.
Usage
replicate.oddsratio(alpha, est1, se1, est2, se2)
Arguments
alpha |
alpha level for 1-alpha confidence |
est1 |
estimate of log odds ratio in original study |
se1 |
standard error of log odds ratio in original study |
est2 |
estimate of log odds ratio in follow-up study |
se2 |
standard error of log odds ratio in follow-up study |
Value
A 4-row matrix. The rows are:
Row 1 summarizes the original study
Row 2 summarizes the follow-up study
Row 3 estimates the ratio of odds ratios
Row 4 estimates the geometric average odds ratio
The columns are:
Estimate - odds ratio estimate (single study, ratio, average)
SE - standard error
z - z-value
p - p-value
LL - exponentiated lower limit of the confidence interval
UL - exponentiated upper limit of the confidence interval
References
Bonett DG (2021). “Design and analysis of replication studies.” Organizational Research Methods, 24(3), 513–529. ISSN 1094-4281, doi:10.1177/1094428120911088.
Examples
replicate.oddsratio(.05, 1.39, .302, 1.48, .206)
# Should return:
# Estimate SE z p
# Original: 1.39000000 0.3020000 4.6026490 4.171509e-06
# Follow-up: 1.48000000 0.2060000 7.1844660 6.747936e-13
# Original/Follow-up: -0.06273834 0.3655681 -0.1716188 8.637372e-01
# Average: 0.36067292 0.1827840 1.9732190 4.847061e-02
# exp(LL) exp(UL)
# Original: 2.2212961 7.256583
# Follow-up: 2.9336501 6.578144
# Original/Fllow-up: 0.5147653 1.713551
# Average: 1.0024257 2.052222