PCGMM-class {MRZero}R Documentation

PCGMM Class

Description

An object containing the estimates produced using the univariable 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 name of the exposure variable.

Outcome

The name of the outcome variable.

Correlation

The matrix of correlations between genetic variants.

Estimate

The causal estimate from the PC-GMM method.

StdError

The standard error associated with Estimate.

CILower

The lower bound of the confidence interval for Estimate based on StdError.

CIUpper

The upper bound of the confidence interval for Estimate based on StdError.

Fstat

The first-stage F statistic for all genetic principal components used as instruments.

Overdispersion

The estimate of the overdispersion parameter for the robust model.

PCs

The number of genetic principal components used to instrument the exposure.

Pvalue

P-value associated with the causal estimate.

Alpha

The significance level used in constructing the confidence interval (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.


[Package MRZero version 0.2.0 Index]