Testing for Rare Variant Associations in the Presence of Missing Data

Genetic Epidemiology - United States
doi 10.1002/gepi.21736
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Wiley

Related search

Detecting Rare Variant Associations: Methods for Testing Haplotypes and Multiallelic Genotypes

Genetic Epidemiology
EpidemiologyGenetics
2011English

Statistical Inference in the Presence of Missing Data

English

Efficiency of Multiple Imputation to Test for Association in the Presence of Missing Data

BMC Proceedings
BiochemistryMedicineGeneticsMolecular Biology
2007English

Analysing Mark–Recapture–Recovery Data in the Presence of Missing Covariate Data via Multiple Imputation

Journal of Agricultural, Biological, and Environmental Statistics
StatisticsProbabilityEnvironmental ScienceApplied MathematicsUncertaintyBiological SciencesAgricultural
2014English

Short-Term Traffic Prediction With Vicinity Gaussian Process in the Presence of Missing Data

2018English

Extending Rare-Variant Testing Strategies: Analysis of Noncoding Sequence and Imputed Genotypes

American Journal of Human Genetics
Genetics
2010English

Rare-Variant Kernel Machine Test for Longitudinal Data From Population and Family Samples

Human Heredity
Genetics
2015English

Missing Data Imputation for Ordinal Data

International Journal of Computer Applications
2018English

Temporal Sequence Associations for Rare Events

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2004English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy