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Journal of Pharmacokinetics and Biopharmaceutics ; Sample size calculation for bioequivalence studies with high-order crossover designs. Based on the Likelihood. R Development Core Team, Statistics in Medicine ;

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Comparison of sample size formulae for 2x2 cross-over designs applied to bioequivalence studies.

Testing Statistical Hypotheses of Equivalence. This "Cited by" count includes citations to the following articles in Scholar. Statistics in Medicine ; Empirical power for higher-order crossover designs in comparative bioavailability clinical trials. University of Michigan Press.

Library Resource Finder: Table of Contents for: Statistical inference

Cambridge University Press, 2a. Comparison of models for average bioequivalence in replicated crossover designs. Journal of the American Statistical Association 84, Verified email at asu.

Journal of the American Statistical Association 89, Universidade de Passo Fundo.

Bioequivalence Studies in Drug Development: M e Singer, J. User s Guide 1: Livraria Atheneu - 1a. A note on sample size determination for bioequivalence studies with higher-order crossover designs.

Chapman infereencia Hall Journal of the American Statistical Association 79, Sample sizes for clinical trials with Normal data.

Table of Contents for: Statistical inference

Introduction to the Theory of Statistics, 3rd. Livraria Atheneu - 5a. Cengage Learning Statistical Modelling and Inference using Likelihood.

Guanabara Koogan - 3a. Validation, Model Selection and Bootstrap.

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On statistical power for average bioequivalence testing under replicated crossover designs. British Journal of Cancer.

Likelihood ratio tests and intersection-union tests RL Berger Advances in statistical decision theory and applications, Guanabara Koogan - 9a.

Uniformly more powerful tests for hypotheses concerning linear inequalities and normal means RL Berger Journal of the American Statistical Association 84, The Likelihood Theory of Statistical Inference. Chapman and Hall, London, UK, Oxford University Press, Oxford. Design and Analysis of Crossover Trials.