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

MVIVWME-class

R Documentation

MVIVWME Class

Description

An object containing the estimates produced using the multivariable inverse-variance weighted (IVW) method with measurement error, as well as various statistics.

Slots

Model: The model used for estimation: random-effects ("random") or fixed-effect ("fixed"). The default option ("default") is to use a fixed-effect model when there are three or fewer genetic variants, and a random-effects model when there are four or more. The (multiplicative) random-effects model allows for heterogeneity between the causal estimates targeted by the genetic variants by allowing over-dispersion in the regression model. Under-dispersion is not permitted (in case of under-dispersion, the residual standard error is set to 1, as in a fixed-effect analysis).
Exposure: The names of the exposure variables.
Outcome: The name of the outcome variable.
Correlation: The matrix of correlations between genetic variants.
Estimate: The causal estimates from the inverse-variance weighted 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.
Alpha: The significance level used in constructing the confidence interval (default is 0.05).
Pvalue: P-value associated with the causal estimate.
SNPs: The number of SNPs that were used in the calculation.
RSE: The estimated residual standard error from the regression model.
Heter.Stat: Heterogeneity statistic (Cochran's Q statistic) and associated p-value: the null hypothesis is that all genetic variants estimate the same causal parameter; rejection of the null is an indication that one or more variants may be pleiotropic.