MVGMM Class
An object containing the estimates produced using the multivariable generalized method of methods (GMM) method. class
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 if specified. If not specified, an identity matrix will be returned.ExpCorrelation: Whether an exposure correlation matrix was specified.CondFstat: The conditional F-statistic for each exposure.Estimate: The causal estimates from the 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. If this is negative, then a value of zero is used in the method.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 genetic variants estimate the same causal parameter; rejection of the null is an indication that one or more genetic variants may be pleiotropic.Useful links