References

Andersen, P. K., Borgan, O., Gill, R. D., and Keiding, N. (1992), Statistical Models Based on Counting Processes, New York: Springer-Verlag.

Borgan, Ø. and Liestøl, K. (1990), “A Note on Confidence Interval and Bands for the Survival Curves Based on Transformations,” Scandinavian Journal of Statistics, 18, 35–41.

Brookmeyer, R. and Crowley, J. (1982), “A Confidence Interval for the Median Survival Time,” Biometrics, 38, 29–41.

Chung, C. F. (1986), Formulae for Probabilities Associated with Wiener and Brownian Bridge Processes, Technical Report 79, Laboratory for Research in Statistics and Probability, Ottawa, Canada: Carleton University.

Collett, D. (1994), Modeling Survival Data in Medical Research, London: Chapman & Hall.

Cox, D. R. and Oakes, D. (1984), Analysis of Survival Data, London: Chapman & Hall.

Edwards, D. and Berry, J. J. (1987), “The Efficiency of Simulation-Based Multiple Comparisons,” Biometrics, 43, 913–928.

Elandt-Johnson, R. C. and Johnson, N. L. (1980), Survival Models and Data Analysis, New York: John Wiley & Sons.

Fleming, T. R. and Harrington, D. (1991), Counting Processes and Survival Analysis, New York: John Wiley & Sons.

Fleming, T. R. and Harrington, D. P. (1981), “A Class of Hypothesis Tests for One and Two Samples of Censored Survival Data,” Communications in Statistics, 10, 763–794.

Fleming, T. R. and Harrington, D. P. (1984), “Nonparametric Estimation of the Survival Distribution in Censored Data,” Communications in Statistics—Theory and Methods, 13, 2469–2486.

Gasser, T. and Müller, H. G. (1979), “Kernel Estimation of Regression Functions,” in Smoothing Techniques for Curve Estimation, Lecture Notes in Mathematics 757, 23–68, Berlin: Springer-Verlag.

Hall, W. J. and Wellner, J. A. (1980), “Confidence Bands for a Survival Curve for Censored Data,” Biometrika 69.

Harrington, D. P. and Fleming, T. R. (1982), “A Class of Rank Test Procedures for Censored Survival Data,” Biometrika, 69, 133–143.

Hsu, J. C. (1992), “The Factor Analytic Approach to Simultaneous Inference in the General Linear Model,” Journal of Computational and Graphical Statistics, 1, 151–168.

Kalbfleisch, J. D. and Prentice, R. L. (1980), The Statistical Analysis of Failure Time Data, New York: John Wiley & Sons.

Klein, J. P. and Moeschberger, M. L. (1997), Survival Analysis: Techniques for Censored and Truncated Data, New York: Springer-Verlag.

Kramer, C. Y. (1956), “Extension of Multiple Range Tests to Group Means with Unequal Numbers of Replications,” Biometrics, 12, 307–310.

Lachin, J. M. (2000), Biostatistical Methods: The Assessment of Relative Risks, New York: John Wiley & Sons.

Lawless, J. F. (1982), Statistical Methods and Methods for Lifetime Data, New York: John Wiley & Sons.

Lee, E. T. (1992), Statistical Methods for Survival Data Analysis, Second Edition, New York: John Wiley & Sons.

Meeker, W. Q. and Escobar, L. A. (1998), Statistical Methods for Reliability Data, New York: John Wiley & Sons.

Miller, R. G. and Siegmund, D. (1982), “Maximally Selected Chi-Square Statistics,” Biometrics, 1011–1016.

Nair, V. N. (1984), “Confidence Bands for Survival Functions with Censored Data: A Comparative Study,” Technometrics, 26, 265–275.

Ramlau-Hansen, H. (1983a), “The Choice of a Kernel Function in the Graduation of Counting Process Intensities,” Scandinavian Actuarial Journal, 165–182.

Ramlau-Hansen, H. (1983b), “Smoothing Counting Process Intensities by Means of Kernel Functions,” Annual of Statistics, 11, 453–466.

Westfall, P. H., Tobias, R. D., Rom, D., Wolfinger, R. D., and Hochberg, Y. (1999), Multiple Comparisons and Multiple Tests Using the SAS System, Cary, NC: SAS Institute Inc.