An object containing the estimates produced using the multivariable inverse-variance weighted (IVW) method with measurement error, as well as various statistics.
Slots
ModelThe 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).ExposureThe names of the exposure variables.
OutcomeThe name of the outcome variable.
CorrelationThe matrix of correlations between genetic variants.
EstimateThe causal estimates from the inverse-variance weighted method.
StdErrorThe standard errors associated with
Estimate.CILowerThe lower bounds of the confidence interval for
Estimatebased onStdError.CIUpperThe upper bounds of the confidence interval for
Estimatebased onStdError.AlphaThe significance level used in constructing the confidence interval (default is 0.05).
PvalueP-value associated with the causal estimate.
SNPsThe number of SNPs that were used in the calculation.
RSEThe estimated residual standard error from the regression model.
Heter.StatHeterogeneity 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.