MVLasso-class {MRZero}

MRMVLasso class

Description

An object containing the estimates produced using the multivariable MR-Lasso method as well as various statistics.

Slots

Exposure

The names of the exposure variables.

Outcome

The name of the outcome variable.

Orientate

The number of the risk factor that genetic associations are orientated to. The default value is 1, meaning that genetic associations with the first risk factor are set to be positive.

Estimate

The causal estimates from the multivariable MR-Lasso method.

StdError

The standard errors associated with Estimate.

CILower

The lower bounds of the confidence intervals for Estimate based on StdError.

CIUpper

The upper bounds of the confidence intervals for Estimate based on StdError.

Alpha

The significance level used in constructing the confidence interval (default is 0.05).

Pvalue

P-values associated with the causal estimates from the multivariable MR-Lasso method.

SNPs

The number of SNPs used in the calculation.

RegEstimate

The estimates from the regularized regression model used in the multivariable MR-Lasso method.

RegIntercept

The intercept estimates from the regularized regression model used in the multivariable MR-Lasso method. An intercept estimate of zero identifies the corresponding genetic variant as a valid instrument. Genetic variants with non-zero intercept estimates will be excluded from the MR-Lasso method, which is obtained as a post-lasso estimator.

Valid

The number of genetic variants that have been identified as valid instruments.

ValidSNPs

The names of genetic variants that have been identified as valid instruments.

Lambda

The value of the tuning parameter used to compute RegEstimate (default is to calulate Lambda using the heterogeneity stopping rule).