MVPCGMM-class {MRZero}

MVPCGMM Class

Description

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

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.