MVPCGMM-class function

MVPCGMM Class

An object containing the estimates produced using the multivariable principal components generalized method of methods (PC-GMM) method as well as various statistics. class

Slots

• robust: Whether the robust model with overdispersion heterogeneity is estimated.
• Exposure: The names of the exposure variables.
• Outcome: The name of the outcome variable.
• Correlation: The matrix of correlations between genetic variants.
• ExpCorrelation: Whether an exposure correlation matrix was specified.
• CondFstat: The conditional F-statistic for each exposure.
• Estimate: The causal estimates from the PC-GMM method.
• StdError: The standard errors associated with Estimate.
• CILower: The lower bounds of the confidence interval for Estimate based on StdError.
• CIUpper: The upper bounds of the confidence interval for Estimate based on StdError.
• Overdispersion: The estimate of the overdispersion parameter for the robust model.
• PCs: The number of genetic principal components used to instrument the exposures.
• Pvalue: P-value associated with the causal estimates.
• Alpha: The significance level used in constructing confidence intervals (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.