| 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.
robustWhether the robust model with overdispersion heterogeneity is estimated.
ExposureThe name of the exposure variable.
OutcomeThe name of the outcome variable.
CorrelationThe matrix of correlations between genetic variants.
EstimateThe causal estimate from the PC-GMM method.
StdErrorThe standard error associated with Estimate.
CILowerThe lower bound of the confidence interval for Estimate based on StdError.
CIUpperThe upper bound of the confidence interval for Estimate based on StdError.
FstatThe first-stage F statistic for all genetic principal components used as instruments.
OverdispersionThe estimate of the overdispersion parameter for the robust model.
PCsThe number of genetic principal components used to instrument the exposure.
PvalueP-value associated with the causal estimate.
AlphaThe significance level used in constructing the confidence interval (default is 0.05).
Heter.StatHeterogeneity 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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