MVGMM-class {MendelianRandomization}

MVGMM Class

Description

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

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 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.