## [1] "Infants replicated across vaccines or vaccine effect significant, therefore separate tests performed"
## [1] "Cholera:"
## [1] "Insufficient studies (n<3)"
## [1] "Rotavirus:"
## [1] "Insufficient studies (n<3)"
## [1] "OPV3:"
## [1] "Insufficient studies (n<3)"
##
## Random-Effects Model (k = 4; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -0.2845 0.5691 4.5691 2.7663 16.5691
##
## tau^2 (estimated amount of total heterogeneity): 0.0374 (SE = 0.0555)
## tau (square root of estimated tau^2 value): 0.1935
## I^2 (total heterogeneity / total variability): 58.26%
## H^2 (total variability / sampling variability): 2.40
##
## Test for Heterogeneity:
## Q(df = 3) = 7.5735, p-val = 0.0557
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0880 0.1311 0.6712 0.5021 -0.1689 0.3449
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Mixed-Effects Model (k = 4; tau^2 estimator: REML)
##
## tau^2 (estimated amount of residual heterogeneity): 0 (SE = 0.0366)
## tau (square root of estimated tau^2 value): 0
## I^2 (residual heterogeneity / unaccounted variability): 0.00%
## H^2 (unaccounted variability / sampling variability): 1.00
## R^2 (amount of heterogeneity accounted for): 100.00%
##
## Test for Residual Heterogeneity:
## QE(df = 1) = 0.2195, p-val = 0.6394
##
## Test of Moderators (coefficient(s) 2:3):
## QM(df = 2) = 7.3540, p-val = 0.0253
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.1930 0.1205 -1.6017 0.1092 -0.4292 0.0432
## VaccinePolio 0.6450 0.3603 1.7904 0.0734 -0.0611 1.3511 .
## VaccineRotavirus 0.3867 0.1596 2.4230 0.0154 0.0739 0.6994 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "Insufficient studies (n<2)"
##
## Random-Effects Model (k = 2; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 0.7982 -1.5964 2.4036 -1.5964 14.4036
##
## tau^2 (estimated amount of total heterogeneity): 0 (SE = 0.0366)
## tau (square root of estimated tau^2 value): 0
## I^2 (total heterogeneity / total variability): 0.00%
## H^2 (total variability / sampling variability): 1.00
##
## Test for Heterogeneity:
## Q(df = 1) = 0.2195, p-val = 0.6394
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.1937 0.1046 1.8511 0.0642 -0.0114 0.3987 .
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "Insufficient studies (n<2)"
## [1] "Residual heterogeneity not significant (p>0.05)"
## [1] "Residual heterogeneity not significant (p>0.05)"
## [1] "Residual heterogeneity not significant (p>0.05)"
Infants replicated across vaccines, therefore separate tests performed
## [1] "OPV1:"
## [1] "Insufficient studies (n<3)"
## [1] "OPV2:"
## [1] "Insufficient studies (n<3)"
## [1] "OPV3:"
## [1] "Insufficient studies (n<3)"
##
## Multivariate Meta-Analysis Model (k = 3; method: REML)
##
## logLik Deviance AIC BIC AICc
## 0.7455 -1.4909 0.5091 -0.7978 4.5091
##
## Variance Components:
##
## estim sqrt nlvls fixed factor
## sigma^2 0.0000 0.0000 1 yes Reference
##
## Test for Heterogeneity:
## Q(df = 2) = 1.1273, p-val = 0.5691
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.1688 0.0957 1.7639 0.0778 -0.0188 0.3564 .
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Multivariate Meta-Analysis Model (k = 3; method: REML)
##
## Variance Components:
##
## estim sqrt nlvls fixed factor
## sigma^2 0.0000 0.0000 1 yes Reference
##
## Test for Residual Heterogeneity:
## QE(df = 0) = 0.0000, p-val = 1.0000
##
## Test of Moderators (coefficient(s) 2:3):
## QM(df = 2) = 1.1273, p-val = 0.5691
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.1006 0.1229 0.8182 0.4132 -0.1404 0.3415
## Measure_of_SCOPV2 N-AB 0.1283 0.2104 0.6096 0.5421 -0.2841 0.5406
## Measure_of_SCOPV3 N-AB 0.3514 0.3611 0.9732 0.3305 -0.3563 1.0591
##
## intrcpt
## Measure_of_SCOPV2 N-AB
## Measure_of_SCOPV3 N-AB
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "Insufficient studies (n<2)"
## [1] "Insufficient studies (n<2)"
## [1] "Insufficient studies (n<2)"