Some challenges in survival analysis with large datasets
AbstractIn this presentation some common challenges in survival analysis with large datasets are demonstrated. We investigate the relationship between the age of smoking initiation and some demographic factors in the Canadian Community Health Survey, Cycle 3.1 (CCHS-3.1) dataset. CCHS-3.1 is a large dataset which includes information for over 130000 individuals. We used different techniques for model fitting and model checking. Test-based techniques for the assessment of PH assumption are not very useful as small deviation from the theoretical model leads to the rejection of PH assumption. In contrast graphical approaches seem to be more helpful. However, not every diagnostic graph can be drawn due to large dataset. Preliminary results show that 63% of Canadians ever smoked a whole cigarette. Therefore, it seems more appropriate to use a cure fraction model (Lambert 2007; Stata Journal, 7:(3), pp. 1-25) to handle the large proportion of censored data. However, sampling weights cannot be used in this model. In conclusion, survival analysis for large datasets cannot be done easily. Some challenges include assessment of PH assumption and drawing diagnostic graphs. Besides, use of cure fraction model may not be appropriate if sampling weights cannot be incorporated in the model estimation.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Stata Users Group in its series Fall North American Stata Users' Group Meetings 2008 with number 4.
Date of creation: 16 Nov 2008
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-11-25 (All new papers)
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum).
If references are entirely missing, you can add them using this form.