MRLasso class
An object containing the estimates produced using the MR-Lasso method as well as various statistics. class
Exposure: The names of the exposure variables.Outcome: The name of the outcome variable.Estimate: The causal estimate from the MR-Lasso method.StdError: The standard error 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-value associated with the causal estimate from the MR-Lasso method.SNPs: The number of SNPs used in the calculation.RegEstimate: The estimate from the regularized regression model used in the MR-Lasso method.RegIntercept: The intercept estimates from the regularized regression model used in the 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 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).Useful links