- Title
- Using a counting process method to impute censored follow-up time data
- Creator
- Efird, Jimmy T.; Jindal, Charulata
- Relation
- International Journal of Environmental Research and Public Health Vol. 15, Issue 4, p. 690-700
- Publisher Link
- http://dx.doi.org/10.3390/ijerph15040690
- Publisher
- MDPI AG
- Resource Type
- journal article
- Date
- 2018
- Description
- Censoring occurs when complete follow-up time information is unavailable for patients enrolled in a clinical study. The process is considered to be informative (non-ignorable) if the likelihood function for the model cannot be partitioned into a set of response parameters that are independent of the censoring parameters. In such cases, estimated survival time probabilities may be biased, prompting the need for special statistical methods to remedy the situation. The problem is especially salient when censoring occurs early in a study. In this paper, we describe a method to impute censored follow-up times using a counting process method.
- Subject
- counting process; censoring; Cox proportional-hazard regression; Kaplan-Meier; imputation; survival analysis
- Identifier
- http://hdl.handle.net/1959.13/1384219
- Identifier
- uon:32029
- Identifier
- ISSN:1661-7827
- Rights
- This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
- Language
- eng
- Full Text
- Reviewed
- Hits: 1845
- Visitors: 1928
- Downloads: 141
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | ATTACHMENT02 | Publisher version (open access) | 6 MB | Adobe Acrobat PDF | View Details Download |