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Point and Interval Estimation of Primary and Secondary Parameters in a Two-Stage Adaptive Clinical Trial Export

Journal of Biopharmaceutical Statistics, Vol. 18, No. 2. (2008), pp. 211-226.

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adaptive_design bias confidence_intervals effect_size mean_squared_error minimal_sufficiency pivot_function sample_size_reestimation

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Investigated in this paper is the point estimation and confidence intervals of the treatment efficacy parameter and related secondary parameters in a two-stage adaptive trial. Based on the minimal sufficient statistics, several alternative estimators to the sample averages are proposed to reduce the bias and to improve the precision of estimation. Confidence intervals are constructed using Woodroofe's pivot method. Numerical studies are conducted to evaluate the bias and mean squared error of the estimators and the coverage probability of the confidence intervals.


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