IVW-class {MRZero} | R Documentation |
IVW Class
Description
An object containing the estimate produced using the inverse-variance weighted (IVW) method 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 name of the exposure variable.
Outcome
The name of the outcome variable.
Correlation
The matrix of correlations between genetic variants.
Robust
Whether robust regression was used in the regression model relating the genetic associations with the outcome and those with the exposure.
Penalized
Whether weights in the regression model were penalized for variants with heterogeneous causal estimates.
Estimate
The causal point estimate from the inverse-variance weighted method.
StdError
The standard error associated with
Estimate
.CILower
The lower bound of the confidence interval for
Estimate
based onStdError
.CIUpper
The upper bound of the confidence interval for
Estimate
based onStdError
.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.
Fstat
An approximation of the first-stage F statistic for all variants based on the summarized data.