DIVW-class {MRZero}

DIVW Class

Description

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.