## Abstract It is common to have missing genotypes in practical genetic studies, but the exact underlying missing data mechanism is generally unknown to the investigators. Although some statistical methods can handle missing data, they usually assume that genotypes are missing at random, that is, a
MISSING CAUSE OF DEATH INFORMATION IN THE ANALYSIS OF SURVIVAL DATA
โ Scribed by JANET ANDERSEN; ELS GOETGHEBEUR; LOUISE RYAN
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 699 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0277-6715
No coin nor oath required. For personal study only.
โฆ Synopsis
Goetghebeur and Ryan proposed a method for proportional hazards analyses of competing risks failuretime data when the failure type is missing for some cases. This paper evaluates the properties of the method using data from a clinical trial in Hodgkin's disease. We generated several patterns of missingness in the cause of death in 'pseudo-studies' derived from the study database. We found that the proposed method provided regression coefficients and inferences that were less biased than those from other methods over an increasing percentage of missingness in the failure type when missingness is random, when it depends on an important covariate, when it depends on failure type, and when it depends on follow-up time. We present suggestions for study design with planned missingness in the failure type.
๐ SIMILAR VOLUMES
## Abstract ## Background In a cancer mortality study, the decision of whether to define a study outcome via underlying cause of death (UCD) or via multiple cause of death (MCD) information may impact relative risk (RR) estimates and associated confidence intervals. ## Methods Simple equations a
The problem of competing risks analysis arises often in public health, demography, actuarial science, industrial reliability applications, and experiments in medical therapeutics. In the classical competing risks scenario one models the risks with a vector T = (TI, ... , T,) of non-negative random v