Biomedical Engineering Reference
In-Depth Information
Austria. ISBN 3-900051-07-0.
URL http://www.R-project.org/
R Foundation for Statistical Computing, T. (2008). R: Regulatory Compliance
and Validation Issues, A Guidance Document for the Use of R in Regulated
Clinical Trial Environments. Vienna, Austria.
URL http://www.R-project.org/R-FDA.pdf
Rubin, D. B. (1987). Multiple Imputation for Nonresponse in Surveys. New
York: John Wiley & Sons. ISBN 0-471-08705-x.
Schick, A. and Yu, Q. (2000).
Consistency of the GMLE with mixed case
interval-censored data. Scandinavian Journal of Statistics 27, 45{55.
Sen, P. K. (1985). Permutational central limit theorems. . In Kotz, S. and
Johnson, N. L., Editors, Encyclopedia of Statistics, volume 6. New York:
Wiley.
So, Y., Johnston, G., and Kim, S. H. (2010).
Analyzing interval-censored
survival data with SAS Software. SAS Global Forum 2010: Statistics and
Data Analysis .
URL support.sas.com/resources/papers/proceedings10/257-2010.
pdf
Sun, J. (1996). A non-parametric test for interval-censored failure time data
with application to AIDS studies. Statistics in Medicine 15, 1387{1395.
Sun, J. (2006).
The Statistical Analysis of Interval-Censored Failure Time
Data. New York: Springer.
Sun, J., Zhao, Q., and Zhao, X. (2005). Generalized logrank tests for interval-
censored failure time data. Scandinavian Journal of Statistics 32, 49{57.
Sun, X. and Chen, C. (2010). Comparison of Finkelstein's method with the
conventional approach for interval-censored data analysis. Statistics in Bio-
pharmaceutical Research 2, 97{108.
 
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