DIVW-class: DIVW Class
In MendelianRandomization: Mendelian Randomization Package
DIVW-class R Documentation
DIVW Class
Description
An object containing the estimate produced using the debiased inverse-variance weighted (dIVW) method as well as various statistics.
Slots
Over.dispersionShould the method consider overdispersion (balanced horizontal pleiotropy)? Default is TRUE.
ExposureThe name of the exposure variable.
OutcomeThe name of the outcome variable.
EstimateThe causal point estimate from the median-based method.
StdErrorThe standard error associated with Estimate (obtained from bootstrapping).
CILowerThe lower bound of the confidence interval for Estimate based on StdError.
CIUpperThe upper bound of the confidence interval for Estimate based on StdError.
AlphaThe significance level used in constructing the confidence interval (default is 0.05).
PvalueP-value associated with the causal estimate from the Wald method.
SNPsThe number of SNPs that used in the calculation.
ConditionA 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.
MendelianRandomization documentation built on Aug. 9, 2023, 1:05 a.m.
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| DIVW-class | R Documentation |
DIVW Class
Description
An object containing the estimate produced using the debiased inverse-variance weighted (dIVW) method as well as various statistics.
Slots
Over.dispersionShould the method consider overdispersion (balanced horizontal pleiotropy)? Default is TRUE.
ExposureThe name of the exposure variable.
OutcomeThe name of the outcome variable.
EstimateThe causal point estimate from the median-based method.
StdErrorThe standard error associated with
Estimate(obtained from bootstrapping).CILowerThe lower bound of the confidence interval for
Estimatebased onStdError.CIUpperThe upper bound of the confidence interval for
Estimatebased onStdError.AlphaThe significance level used in constructing the confidence interval (default is 0.05).
PvalueP-value associated with the causal estimate from the Wald method.
SNPsThe number of SNPs that used in the calculation.
ConditionA 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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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