The previously reviewed methods for designs with adaptive sample size modifications have been extended to survival data by Schäfer and Müller (2001), Shen and Cai (2003), Wassmer (2006), Desseaux and Porcher (2007), Jahn- Eimermacher and Ingel (2009), and Irle and Schäfer (2014). Schäfer and Müller (2001) and Irle and Schäfer (2014) extend the conditional error rate principle. Wassmer (2006) and Jahn-Eimermacher and Ingel (2009) consider the inverse normal combination and Desseaux and Porcher (2007) Fisher’s product test approach. Shen and Cai (2003) extend the variance spending method of Shen and Fisher (1999). Most of the mentioned approaches were developed in the multistage context. In this chapter, we focus on the combination testing approach and briefly describe some problems that might arise in survival trials. We consider the general case of two or more stages as the described techniques are directly applicable to the multistage case.