meta.lm.prop.ps: Meta-regression analysis for paired-samples proportion...

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Meta-regression analysis for paired-samples proportion differences

Description

This function estimates the intercept and slope coefficients in a meta-regression model where the dependent variable is a paired-samples proportion difference. The estimates are OLS estimates with robust standard errors that accommodate residual heteroscedasticity.

Usage

meta.lm.prop.ps(alpha, f11, f12, f21, f22, X)

Arguments

alpha	alpha level for 1-alpha confidence
f11	vector of frequency counts in cell 1,1
f12	vector of frequency counts in cell 1,2
f21	vector of frequency counts in cell 2,1
f22	vector of frequency counts in cell 2,2
X	matrix of predictor values

Value

Returns a matrix. The first row is for the intercept with one additional row per predictor. The matrix has the following columns:

• Estimate - OLS estimate

• SE - standard error

• z - z-value

• p - p-value

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

References

\insertRef

Bonett2014vcmeta

Examples

f11 <- c(40, 20, 25, 30)
f12 <- c(3, 2, 2, 1)
f21 <- c(7, 6, 8, 6)
f22 <- c(26, 25, 13, 25)
x1 <- c(1, 1, 4, 6)
x2 <- c(1, 1, 0, 0)
X <- matrix(cbind(x1, x2), 4, 2)
meta.lm.prop.ps(.05, f11, f12, f21, f22, X)

# Should return: 
#       Estimate         SE          z     p          LL         UL
# b0 -0.21113402 0.21119823 -0.9996960 0.317 -0.62507494 0.20280690
# b1  0.02185567 0.03861947  0.5659236 0.571 -0.05383711 0.09754845
# b2  0.12575138 0.17655623  0.7122455 0.476 -0.22029248 0.47179524

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