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Response to comments on Jaki et al., A proposal for a new PhD level curriculum on quantitative methods for drug development. Pharm Stat 17(5):593‐606, Sep/Oct 2018., DOI:https://doi.org/10.1002/pst.1873
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- Pharmaceutical Statistics, 2019, v. 18, n. 3, p. 284, doi. 10.1002/pst.1942
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Comment on Jaki et al., A proposal for a new PhD level curriculum on quantitative methods for drug development. Pharmaceutical Statistics 17 (5):593–606, Sep/Oct 2018, DOI: 10.1002/pst.1873.
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- Pharmaceutical Statistics, 2019, v. 18, n. 3, p. 278, doi. 10.1002/pst.1940
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- Article
Comment on Jaki et al., A proposal for a new PhD level curriculum on quantitative methods for drug development. Pharmaceutical Statistics 17(5):593–606, Sep/Oct 2018. DOI: 10.1002/pst.1873.
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- Pharmaceutical Statistics, 2019, v. 18, n. 3, p. 282, doi. 10.1002/pst.1939
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- Article
Assessment of individual bioequivalence using sufficient bootstrap procedure.
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- Pharmaceutical Statistics, 2019, v. 18, n. 3, p. 388, doi. 10.1002/pst.1930
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Hazard ratio inference in stratified clinical trials with time‐to‐event endpoints and limited sample size.
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- Pharmaceutical Statistics, 2019, v. 18, n. 3, p. 366, doi. 10.1002/pst.1928
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Tests for noninferiority trials with binomial endpoints: A guide to modern and quasi‐exact methods for biomedical researchers.
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- Pharmaceutical Statistics, 2019, v. 18, n. 3, p. 377, doi. 10.1002/pst.1929
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Blinded sample size reestimation in event‐driven clinical trials: Methods and an application in multiple sclerosis.
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- Pharmaceutical Statistics, 2019, v. 18, n. 3, p. 351, doi. 10.1002/pst.1927
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Nested combination tests with a time‐to‐event endpoint using a short‐term endpoint for design adaptations.
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- Pharmaceutical Statistics, 2019, v. 18, n. 3, p. 329, doi. 10.1002/pst.1926
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Properties of the weighted log‐rank test in the design of confirmatory studies with delayed effects.
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- Pharmaceutical Statistics, 2019, v. 18, n. 3, p. 287, doi. 10.1002/pst.1923
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Assessing the predictive value of a binary surrogate for a binary true endpoint based on the minimum probability of a prediction error.
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- Pharmaceutical Statistics, 2019, v. 18, n. 3, p. 304, doi. 10.1002/pst.1924
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- Article
A comparative study of confidence intervals to assess biosimilarity from analytical data.
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- Pharmaceutical Statistics, 2019, v. 18, n. 3, p. 316, doi. 10.1002/pst.1925
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- Article
Issue Information.
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- Pharmaceutical Statistics, 2019, v. 18, n. 3, p. 275, doi. 10.1002/pst.1883
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- Article