Response-adaptive treatment allocation for clinical studies with recurrent event and terminal event data

Cites Work

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Cox's regression model for counting processes: A large sample study
The doubly adaptive biased coin design for sequential clinical trials
Asymptotic properties of doubly adaptive biased coin designs for multitreatment clinical trials.
Asymptotic properties of covariate-adjusted response-adaptive designs
Joint frailty models for recurring events and death using maximum penalized likelihood estimation: application on cancer events
Sample-size calculation and reestimation for a semiparametric analysis of recurrent event data taking robust standard errors into account
Shared Frailty Models for Recurrent Events and a Terminal Event
Robust Covariate‐Adjusted Log‐Rank Statistics and Corresponding Sample Size Formula for Recurrent Events Data
Correlated individual frailty: An advantageous approach to survival analysis of bivariate data
Optimality, Variability, Power
Adaptive treatment allocation for comparative clinical studies with recurrent events data
Implementing Optimal Allocation in Sequential Binary Response Experiments
A Unified Family of Covariate-Adjusted Response-Adaptive Designs Based on Efficiency and Ethics
Semiparametric Analysis of Correlated Recurrent and Terminal Events
The Theory of Response‐Adaptive Randomization in Clinical Trials
Response‐Adaptive Randomization for Clinical Trials with Continuous Outcomes
Response-Adaptive Randomization for Survival Trials: The Parametric Approach
Semiparametric additive rates model for recurrent events data with intermittent gaps

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