# independent censoring

Independent censoring is one of the fundamental assumptions in the survival analysis. However, I cannot find any test for it or any paper which discusses how real that assumption is. I would be grateful if anybody could point me to some useful references. I have found the following paper as an interesting reference but it is not freely available.

Leung, Kwan-Moon, Robert M. Elashoff, and Abdelmonem A. Afifi. "Censoring issues in survival analysis." Annual review of public health 18.1 (1997): 83-104.

Any feedback would be much appreciated. Kind regards DK

• Kalbfleisch and Prentice (2002) The Statistical Analysis of Failure Time Data, is a classical textbook on survival analysis. Nov 29 '16 at 10:49

$$\lim_{\Delta t \rightarrow 0} \frac{\Pr \Big( t \leq T < t + \Delta t \,\Big|\, T \geq t, \, C \geq t \Big)}{\Delta t} = \lim_{\Delta t \rightarrow 0} \frac{\Pr \Big( t \leq T < t + \Delta t \,\Big|\, T \geq t \Big)}{\Delta t}$$