MVMRcML Class — MVMRcML-class • MendelianRandomization

An object containing the results of MVMRcML.

Slots

Exposure: The names of the exposure variables.
Outcome: The name of the outcome variable.
Estimate: The causal estimates from the multivariable MRcML 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 MRcML method.
BIC_invalid: The index set of selected invalid IVs by MVMRcML-BIC.
K_hat: The number of selected invalid IVs by MVMRcML-BIC, or a vector for each data perturbation in MVMRcML-DP.
eff_DP_B: The number of data perturbations with successful convergence in MVMRcML-DP.
SNPs: The number of SNPs that were used in the calculation.
DP: Indicator of whether data perturbation is applied.