References
- Zeger SL, Diggle PJ, Liang K-L. A Cox model for biostatistics of the future (March 2004). Johns Hopkins University, Department of Biostatistics Working Papers. Working Paper 32. http://www.bepress.com/jhubiostat/paper32.
- Cox DR. Regression models and life tables (with discussion). J R Stat Soc Ser B 1972;34:187–220.
- Altman DG, Bland JM. Time to event (survival data). Br Med J 1998;317:468–469.
- Kaplan EL, Meier P. Nonparametric estimation from incomplete observations. J Am Stat Assoc 1958;53:457–481.
- StataCorp. Stata Statistical Software. Release 10. Texas: College Station, Stata Corporation; 2007.
- Pocock SJ, Clayton TC, Altman DG. Survival plots of time-to-event outcomes in clinical trials: good practice and pitfalls. Lancet 2002;359:1686–1689.
- Mantel N. Evaluation of survival data and two new rank order statistics arising in its consideration. Cancer Chemotherapy Rep 1966;50:163–170.
- Peto R, Peto J. Asymptotically efficient rank invariant test procedures. J R Stat Soc Ser A 1972;135:185–207.
- Cleland JGF, Louis AA, Rigby AS, Janssens U, Balk AH. Noninvasive home telemonitoring for patients with heart failure at risk of recurrent admission and death. The Trans-European Network-Home-Care Management System (TEN-HMS) study. J Am Coll Cardiol 2005;17:1654–1664.
- Greenwood M. The ‘error of sampling’ survivorship tables. Reports on Public Health and Medical Subjects, No 33, Appendix 1. London: His Majesty's Stationary Office; 1926.
- Schoenfeld D. Partial residual estimation for the proportional hazards regression. Biometrika 1982;69:239–241.
- Grambsch PM, Therneau TM. Proportional hazards tests and diagnostics based on weighted residuals. Biometrika 1994;81:515–526.
- We LJ. The accelerated failure time model: a useful alternative to the Cox regression model in survival analysis. Stat Med 2007;11:1871–1879.
- Cox HJ, Bhandari S, Rigby AS, Kilpatrick ES. Mortality at low and high estimated GFR values: a U shaped curve. Nephron Clin Pract 2008;110:c67–c72.
- Freedman LS. Tables of the numbers of patients required in clinical trials using the log-rank test. Stat Med 1982;1:121–129.
- Wittes J. Sample size estimation for randomized controlled trials. Epidemiol Rev 2002;41:39–53.
- Schoenfeld DA, Richter JR. Nomograms for calculating the number of patients needed for a clinical trial with survival as an endpoint. Biometrics 1982;38:163–170.