| replicate.ratio.prop2 {vcmeta} | R Documentation |
Compares and combines 2-group proportion ratios in original and follow-up studies
Description
This function computes confidence intervals from an original study and a follow-up study where the effect size is a 2-group proportion ratio. Confidence intervals for the ratio and geometric average of effect sizes are also computed. The confidence level for the ratio of ratios is 1 – 2*alpha, which is recommended for equivalence testing.
Usage
replicate.ratio.prop2(alpha, f11, f12, n11, n12, f21, f22, n21, n22)
Arguments
alpha |
alpha level for 1-alpha confidence 21q“““““““““““' ““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““““'lpha alpha level for 1-alpha confidence |
f11 |
frequency count for group 1 in original study |
f12 |
frequency count for group 2 in original study |
n11 |
sample size for group 1 in original study |
n12 |
sample size for group 2 in original study |
f21 |
frequency count for group 1 in follow-up study |
f22 |
frequency count for group 2 in follow-up study |
n21 |
sample size for group 1 in follow-up study |
n22 |
sample size for group 2 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 proportion ratios
Row 4 estimates the geometric average proportion ratio
The columns are:
Estimate - proportion difference estimate (single study, ratio, average)
LL - lower limit of the confidence interval
UL - 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.ratio.prop2(.05, 21, 16, 40, 40, 19, 13, 60, 60)
# Should return:
# Estimate LL UL
# Original: 1.3076923 0.8068705 2.119373
# Follow-up: 1.4528302 0.7939881 2.658372
# Original/Follow-up: 0.9000999 0.4703209 1.722611
# Average: 1.3783522 0.9362893 2.029132