DIVW Class — DIVW-class • MendelianRandomization

An object containing the estimate produced using the debiased inverse-variance weighted (dIVW) method as well as various statistics.

Slots

Over.dispersion: Should the method consider overdispersion (balanced horizontal pleiotropy)? Default is TRUE.
Exposure: The name of the exposure variable.
Outcome: The name of the outcome variable.
Estimate: The causal point estimate from the median-based method.
StdError: The standard error associated with Estimate (obtained from bootstrapping).
CILower: The lower bound of the confidence interval for Estimate based on StdError.
CIUpper: The upper bound of the confidence interval 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 Wald method.
SNPs: The number of SNPs that used in the calculation.
Condition: A measure defined as (average F-statistic -1)*sqrt(# snps) that needs to be large for reliable asymptotic approximation based on the dIVW estimator. It is recommended to be greater than 20.