meta.ave.gen: Confidence interval for an average of any parameter

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Confidence interval for an average of any parameter

Description

Computes the estimate, standard error, and confidence interval for an average of any type of parameter from two or more studies.

Usage

meta.ave.gen(alpha, est, se, bystudy = TRUE)

Arguments

alpha	alpha level for 1-alpha confidence
est	vector of parameter estimates
se	vector of standard errors
bystudy	logical to also return each study estimate (TRUE) or not

Value

Returns a matrix. The first row is the average estimate across all studies. If bystudy is TRUE, there is 1 additional row for each study. The matrix has the following columns:

• Estimate - estimated effect size

• SE - standard error

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

Examples

est <- c(.022, .751, .421, .287, .052, .146, .562, .904)
se <- c(.124, .464, .102, .592, .864, .241, .252, .318)
meta.ave.gen(.05, est, se, bystudy = TRUE)

# Should return:
#          Estimate        SE          LL        UL
# Average  0.393125 0.1561622  0.08705266 0.6991973
# Study 1  0.022000 0.1240000 -0.22103553 0.2650355
# Study 2  0.751000 0.4640000 -0.15842329 1.6604233
# Study 3  0.421000 0.1020000  0.22108367 0.6209163
# Study 4  0.287000 0.5920000 -0.87329868 1.4472987
# Study 5  0.052000 0.8640000 -1.64140888 1.7454089
# Study 6  0.146000 0.2410000 -0.32635132 0.6183513
# Study 7  0.562000 0.2520000  0.06808908 1.0559109
# Study 8  0.904000 0.3180000  0.28073145 1.5272685

dgbonett/vcmeta documentation built on July 12, 2024, 3:12 p.m.