AbstractNecessary and sufficient conditions for weak and strong convergence are derived for the weighted version of a general process under random censoring. To be more explicit, this means that for this process complete analogues are obtained of the Chibisov‐O'Reilly theorem, the Lai‐Wellner Glivenko‐Cantelli theorem, and the James law of the iterated logarithm for the empirical process. The process contains as special cases the so‐called basic martingale, the empirical cumulative hazard process, and the product‐limit process. As a tool we derive a Kiefer‐process‐type approximation of our process, which may be of indepen