Biomedical Engineering Reference
In-Depth Information
bivariate cdf for arbitrarily censored data. Canadian Journal of Statistics
30, 557{571.
Groeneboom, P., Jongbloed, G., and Wellner, J. A. (2008). The support reduc-
tion algorithm for computing nonparametric function estimates in mixture
models. Scandinavian Journal of Statistics 35, 385{399.
Hirji, K. F. (2006). Exact Analysis of Discrete Data. New York: Chapman
and Hall/CRC Press.
Hoffman, E. B., Sen, P. K., and Weinberg, C. R. (2001). Within-cluster re-
sampling. Biometrika 88, 420{429.
Huang, J., Lee, C., and Yu, Q. (2008). A generalized logrank test for interval-
censored failure time data via multiple imputation. Statistics in Medicine
27, 3217{3226.
Kalbfleisch, J. D. and Prentice, R. L. (2002). The Statistical Analysis of Failure
Time Data, second edition. New York: Wiley.
Law, C. G. and Brookmeyer, R. (1992). Effects of mid-point imputation on
the analysis of doubly censored data. Statistics in Medicine 11, 1569{1578.
Oller, Ramon, Gomez, Guadalupe, Calle, and Luz, M. (2007).
Interval-
censoring: Identifiability and the constant-sum property.
Biometrika 94,
61{70. ISSN 0006-3444. doi:http://dx.doi.org/10.1093/biomet/asm002.
URL http://dx.doi.org/10.1093/biomet/asm002
Pan, W. (2000). A two-sample test with interval-censored data via multiple
imputation. Statistics in Medicine 19, 1{11.
Peto, R. and Peto, J. (1972).
Asymptotically ecient rank invariant test
procedures. Journal of the Royal Statistical Society A 135, 185{207.
R Development Core Team, T. (2011). R: A Language and Environment for
Statistical Computing.
R Foundation for Statistical Computing, Vienna,
 
Search WWH ::




Custom Search