Survival analysis with incomplete genetic data

• Published in: Lifetime data analysis Vol. 20; no. 1; pp. 16 - 22
• Main Author: Lin, D. Y.
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.01.2014; Springer Nature B.V
• Subjects: Case-Control Studies; Cohort analysis; Cohort Studies; Consortia; Data analysis; Data Interpretation, Statistical; Disease; Economics; Finance; Genetic Predisposition to Disease; Genome-Wide Association Study - methods; Genomes; Genomics; Genotype & phenotype; Haplotypes; Haplotypes - genetics; Health Sciences; Humans; Insurance; Likelihood Functions; Management; Mathematics and Statistics; Medicine; Missing data; Operations Research/Decision Theory; Polymorphism; Proportional Hazards Models; Quality Control; Rare diseases; Reliability; Safety and Risk; Statistics; Statistics for Business; Statistics for Life Sciences; Studies; Survival analysis; Womens health; Haplotypes; Genome-wide association studies; Women’s Health Initiative; Next-generation sequencing; Nonparametric likelihood; Censoring; Two-phase study; Case-control design; Case-cohort design; Single nucleotide polymorphisms

Genetic data are now collected frequently in clinical studies and epidemiological cohort studies. For a large study, it may be prohibitively expensive to genotype all study subjects, especially with the next-generation sequencing technology. Two-phase sampling, such as case-cohort and nested case-co...