replicate.prop1 {vcmeta} | R Documentation |
Compares and combines single proportion in original and follow-up studies
Description
This function computes confidence intervals for a single proportion from an original study and a follow-up study. Confidence intervals for the difference between the two proportions and average of the two proportions are also computed. The same results can be obtained using the meta.lc.prop1 function with appropriate contrast coefficients. The confidence level for the difference is 1 – 2*alpha, which is recommended for equivalence testing.
Usage
replicate.prop1(alpha, f1, n1, f2, n2)
Arguments
alpha |
alpha level for 1-alpha confidence |
f1 |
frequency count in original study |
n1 |
sample size in original study |
f2 |
frequency count in follow-up study |
n2 |
sample size for 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 difference in proportions
Row 4 estimates the average proportion
The columns are:
Estimate - proportion estimate (single study, difference, average)
SE - standard error
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.prop1(.05, 21, 300, 35, 400)
# Should return:
# Estimate SE LL UL
# Original: 0.07565789 0.01516725 0.04593064 0.10538515
# Follow-up: 0.09158416 0.01435033 0.06345803 0.11971029
# Original - Follow-up: -0.01670456 0.02065098 -0.05067239 0.01726328
# Average: 0.08119996 0.01032549 0.06096237 0.10143755