MVGMM-class: MVGMM Class
In MendelianRandomization: Mendelian Randomization Package

MVGMM-class

R Documentation

MVGMM Class

An object containing the estimates produced using the multivariable generalized method of methods (GMM) method.

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.