The Design of Intervention Trials Involving Recurrent and Terminal Events
- 185 Downloads
Clinical trials are often designed to assess the effect of therapeutic interventions on the incidence of recurrent events in the presence of a dependent terminal event such as death. Statistical methods based on multistate analysis have considerable appeal in this setting since they can incorporate changes in risk with each event occurrence, a dependence between the recurrent event and the terminal event, and event-dependent censoring. To date, however, there has been limited development of statistical methods for the design of trials involving recurrent and terminal events. Based on the asymptotic distribution of regression coefficients from a multiplicative intensity Markov regression model, we derive sample size formulas to address power requirements for both the recurrent and terminal event processes. We consider the design of trials for which separate marginal hypothesis tests are of interest for the recurrent and terminal event processes and deal with both superiority and non-inferiority tests. Simulation studies confirm that the designs satisfy the nominal power requirements in both settings, and an application to a trial evaluating the effect of a bisphosphonate on skeletal complications is given for illustration.
KeywordsMultistate model Non-inferiority Recurrent events Sample size Superiority
This research was supported by the Natural Sciences and Engineering Research Council of Canada (LW and RJC) and the Canadian Institutes for Health Research (RJC). Richard Cook is a Canada Research Chair in Statistical Methods for Health Research. The authors thank Jerry Lawless for helpful discussions, the editorial reviewers for helpful comments, and Novartis Pharmaceuticals for permission to use the data from the clinical trial.
- 19.Hortobagyi GN, Theriault RL, Lipton A, Porter L, Blayney D, Sinoff C, Wheeler H, Simeone JF, Seaman JJ, Knight RD, Heffernan M, Mellars K, Reitsma DJ (1998) Long-term prevention of skeletal complications of metastatic breast cancer with pamidronate. Protocol 19 Aredia Breast Cancer Study Group. J Clin Oncol 16:2038–2044 Google Scholar
- 20.Hortobagyi GN, Theriault RL, Porter L, Blayney D, Lipton A, Sinoff C, Wheeler H, Simeone JF, Seaman J, Knight RD (1996) Efficacy of pamidronate in reducing skeletal complications in patients with breast cancer and lytic bone metastases. Protocol 19 Aredia Breast Cancer Study Group. N Engl J Med 335:1785–1791 CrossRefGoogle Scholar
- 22.Cook RJ, Lawless JF, Lakhal-Chaieb L, Lee K-A (2009) Robust estimation of mean functions and treatment effects for recurrent events under event-dependent censoring and termination: application to skeletal complications in cancer metastatic to bone. J Am Stat Assoc 104:60–75 MathSciNetCrossRefGoogle Scholar