NestedCohort is an R software package for fitting Kaplan-Meier and Cox Models to estimate standardized survival and attributable risks for studies where covariates of interest are observed on only a sample of the cohort. Standard designs that can be handled by this software include the case-cohort and case-control studies conducted within defined cohorts. At this time, the software does not yet support nested case-control designs.
- Readme text
- License Agreement
- Survival Analysis for Cohorts with Missing Covariate Information (See pg 14-19)
This software requires you to have R 2.15.2 or higher installed on your computer. R is freely-available statistical software that is very similar to S-PLUS. To install R on your computer, visit the R homepage. In the manual included with NestedCohort, I show how to import SAS data into R for NestedCohort to analyze.
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References
Suggested reference for the NestedCohort program:
- Mark SD and Katki HA. Specifying and implementing nonparametric and semiparametric survival estimators in two-stage (sampled) cohort studies with missing case data. J Am Stat Assoc 2006;101(474):460-471.
Studies that have utilized this software:
- Abnet, C. C., Lai, B., Qiao, Y.-L., Vogt, S., Luo, X.-M., Taylor, P. R., Dong, Z.-W., Mark, S. D., and Dawsey, S. M. (2005). Zinc concentration in esophageal biopsies measured by x-ray fluorescence and cancer risk. J Natl Cancer Inst 2005; 97(4):301-306.
- Kamangar F, Qiao YL, Blaser MJ, Katki H, Perez-Perez GI, Abnet CC, Dong ZW, Mark SD, Taylor PR, Dawsey SM. Helicobacter pylori and oesophageal and gastric cancers in a prospective study in China. Br J Cancer 2007; 96(1):172-176
Support
Questions? Contact: Li Cheung, Ph.D.