PCGMM-class | R Documentation |
An object containing the estimates produced using the univariable principal components generalized method of methods (PC-GMM) method as well as various statistics.
robust
Whether the robust model with overdispersion heterogeneity is estimated.
Exposure
The name of the exposure variable.
Outcome
The name of the outcome variable.
Correlation
The matrix of correlations between genetic variants.
Estimate
The causal estimate from the PC-GMM method.
StdError
The standard error associated with Estimate
.
CILower
The lower bound of the confidence interval for Estimate
based on StdError
.
CIUpper
The upper bound of the confidence interval for Estimate
based on StdError
.
Fstat
The first-stage F statistic for all genetic principal components used as instruments.
Overdispersion
The estimate of the overdispersion parameter for the robust model.
PCs
The number of genetic principal components used to instrument the exposure.
Pvalue
P-value associated with the causal estimate.
Alpha
The significance level used in constructing the confidence interval (default is 0.05).
Heter.Stat
Heterogeneity statistic (Cochran's Q statistic) and associated p-value (for non-robust model): the null hypothesis is that all principal components estimate the same causal parameter; rejection of the null is an indication that one or more principal components may be pleiotropic.
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