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Methods and applications of sample size calculation and recalculation in clinical trials / / Meinhard Kieser
Methods and applications of sample size calculation and recalculation in clinical trials / / Meinhard Kieser
Autore Kieser Meinhard
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2020]
Descrizione fisica 1 online resource (XIV, 396 p. 126 illus.)
Disciplina 615.19
Collana Springer series in pharmaceutical statistics
Soggetto topico Pharmaceutical technology
Clinical trials - Research
Clinical trials - Methodology
ISBN 3-030-49528-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Basics -- Chapter 1- Introduction -- Chapter 2 - Statistical test and sample size calculation -- Part II : Sample size calculation -- Chapter 3 - Comparison of two groups for normally distributed outcomes and test for difference or superiority.-Chapter 4 - Comparison of two groups for continuous and ordered categorical outcomes and test for difference or superiority -- Chapter 5 - Comparison of two groups for binary outcomes and test for difference and superiority -- Chapter 6 - Comparison of two groups for time-to-event outcomes and test for differences or superiority -- Chapter 7 - Comparison of more than two groups and test for difference -- Chapter 8 - Comparison of two groups and test for non-inferiority -- Chapter 9 - Comparison of three groups in the gold standard non-inferiority design -- Chapter 10 - Comparison of two groups for normally distributed outcomes and test for equivalence -- Chapter 11 - Multiple comparisons -- Chapter 12 - Assessment of safety -- Chapter 13 - Cluster-randomized trials -- Chapter 14 - Multi-regional trials -- Chapter 15 - Integrated planning of phase II/III drug development programs -- Chapter 16 - Simulation-based sample size calculation -- Part III: Sample size recalculation -- Chapter 17 – Background -- Part IIIA: Blinded sample size recalculation in internal pilot study designs -- Chapter 18 - Background and notation -- Chapter 19 - A general approach for controlling the type I error rate for blinded sample size recalculation.-Chapter 20 - Comparison of two groups for normally distributed outcomes and test for difference or superiority -- Chapter 21 - Comparison of two groups for binary outcomes and test for difference or superiority -- Chapter 22 - Comparison of two groups for normally distributed outcomes and test for non-inferiority -- Chapter 23 - Comparison of two groups for binary outcomes and test for non-inferiority -- Chapter 24 - Comparison of two groups for normally distributed outcomes and test for equivalence.-Chapter 25 - Regulatory and operational aspects -- Chapter 26 - Concluding remarks.-Part IIIB: Unblinded sample size recalculation in adaptive designs -- Chapter 27 - Background and notation -- Chapter 28 - Sample size recalculation based on conditional power -- Chapter 29 - Sample size recalculation by optimization -- Chapter 30 - Regulatory and operational aspects -- Chapter 31 - Concluding remarks.
Record Nr. UNISA-996418192103316
Kieser Meinhard  
Cham, Switzerland : , : Springer, , [2020]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials / / by Meinhard Kieser
Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials / / by Meinhard Kieser
Autore Kieser Meinhard
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIV, 396 p. 126 illus.)
Disciplina 615.19
Collana Springer Series in Pharmaceutical Statistics
Soggetto topico Statistics
Biometry
Pharmaceutical chemistry
Statistical Theory and Methods
Biostatistics
Pharmaceutics
ISBN 9783030495282
3030495280
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Basics -- Chapter 1- Introduction -- Chapter 2 - Statistical test and sample size calculation -- Part II : Sample size calculation -- Chapter 3 - Comparison of two groups for normally distributed outcomes and test for difference or superiority.-Chapter 4 - Comparison of two groups for continuous and ordered categorical outcomes and test for difference or superiority -- Chapter 5 - Comparison of two groups for binary outcomes and test for difference and superiority -- Chapter 6 - Comparison of two groups for time-to-event outcomes and test for differences or superiority -- Chapter 7 - Comparison of more than two groups and test for difference -- Chapter 8 - Comparison of two groups and test for non-inferiority -- Chapter 9 - Comparison of three groups in the gold standard non-inferiority design -- Chapter 10 - Comparison of two groups for normally distributed outcomes and test for equivalence -- Chapter 11 - Multiple comparisons -- Chapter 12 - Assessment of safety -- Chapter 13 - Cluster-randomized trials -- Chapter 14 - Multi-regional trials -- Chapter 15 - Integrated planning of phase II/III drug development programs -- Chapter 16 - Simulation-based sample size calculation -- Part III: Sample size recalculation -- Chapter 17 – Background -- Part IIIA: Blinded sample size recalculation in internal pilot study designs -- Chapter 18 - Background and notation -- Chapter 19 - A general approach for controlling the type I error rate for blinded sample size recalculation.-Chapter 20 - Comparison of two groups for normally distributed outcomes and test for difference or superiority -- Chapter 21 - Comparison of two groups for binary outcomes and test for difference or superiority -- Chapter 22 - Comparison of two groups for normally distributed outcomes and test for non-inferiority -- Chapter 23 - Comparison of two groups for binary outcomes and test for non-inferiority -- Chapter 24 - Comparison of two groups for normally distributed outcomes and test for equivalence.-Chapter 25 - Regulatory and operational aspects -- Chapter 26 - Concluding remarks.-Part IIIB: Unblinded sample size recalculation in adaptive designs -- Chapter 27 - Background and notation -- Chapter 28 - Sample size recalculation based on conditional power -- Chapter 29 - Sample size recalculation by optimization -- Chapter 30 - Regulatory and operational aspects -- Chapter 31 - Concluding remarks.
Record Nr. UNINA-9910484552403321
Kieser Meinhard  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui