summary.metaLik: Summarizing meta-analysis and meta-regression model fits

In metaLik: Likelihood Inference in Meta-Analysis and Meta-Regression Models

Description

Summary method for class "metaLik".

Usage

## S3 method for class 'metaLik'
summary(object, ...)

Arguments

object	an object of class "metaLik", usually a result of a call to "metaLik".
...	additional arguments

Details

summary.metaLik prints summary information about within-study heterogeneity, parameter estimates, standard errors, first- and higher-order log-likelihood ratio statistics. See test.metaLik for more details about the first- and higher-order statistics.

Value

The function summary.metaLik returns the metaLik object from which summary.metaLik is called.

See Also

The generic functions coefficients, confint and vcov.

Function test.metaLik allows for hypothesis testing.

Examples

## meta-analysis
data(education)
m <- metaLik(y~1, data=education, sigma2=sigma2)
summary(m)
## meta-analysis
data(albumin)
m <- metaLik(y~1, data=albumin, sigma2=sigma2)
summary(m)
## meta-regression  
data(vaccine)
m <- metaLik(y~latitude, data=vaccine, sigma2=sigma2)
summary(m)
## meta-regression
data(cholesterol)
m <- metaLik(heart_disease~chol_reduction, data=cholesterol, weights=1/sigma2)
summary(m)

Example output

Likelihood inference in random-effects meta-analysis models

Call:
metaLik(formula = y ~ 1, data = education, sigma2 = sigma2)

Estimated heterogeneity parameter tau2 = 0.03829

Fixed-effects:
             estimate  std.err.  signed logLRT  p-value  Skovgaard  p-value
(Intercept)    0.3004    0.0832         2.8989   0.0037     2.6778   0.0074

Log-likelihood: 8.3768 

Likelihood inference in random-effects meta-analysis models

Call:
metaLik(formula = y ~ 1, data = albumin, sigma2 = sigma2)

Estimated heterogeneity parameter tau2 = 7.071e-05

Fixed-effects:
             estimate  std.err.  signed logLRT  p-value  Skovgaard  p-value
(Intercept)   60.9949    0.5457        27.9857        0    25.4928        0

Log-likelihood: -2.163 

Likelihood inference in random-effects meta-analysis models

Call:
metaLik(formula = y ~ latitude, data = vaccine, sigma2 = sigma2)

Estimated heterogeneity parameter tau2 = 0.1676

Fixed-effects:
             estimate  std.err.  signed logLRT  p-value  Skovgaard  p-value
(Intercept)   -0.3050    0.2241        -1.3378    0.181    -1.2245   0.2208
latitude      -0.0154    0.0064        -2.1203    0.034    -1.8164   0.0693

Log-likelihood: 1.1212 

Likelihood inference in random-effects meta-analysis models

Call:
metaLik(formula = heart_disease ~ chol_reduction, data = cholesterol, 
    weights = 1/sigma2)

Estimated heterogeneity parameter tau2 = 7.071e-05

Fixed-effects:
                estimate  std.err.  signed logLRT  p-value  Skovgaard  p-value
(Intercept)       0.1210    0.0974         1.2498   0.2114     1.3597   0.1739
chol_reduction   -0.4757    0.1384        -3.0323   0.0024    -2.4606   0.0139

Log-likelihood: 15.1519 

metaLik documentation built on May 1, 2019, 8:44 p.m.