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