Permutation and Bootstrap Testing for the Sequential Parallel Comparison Design
Sequential parallel comparison design (SPCD) was proposed to reduce placebo response in randomized trials with placebo comparators. This design is achieved by randomizing subjects between placebo and drug in stage 1 and after the parallel first stage, participants who do not respond to placebo in st...
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Published in | Statistics in biopharmaceutical research Vol. 11; no. 1; pp. 44 - 51 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Taylor & Francis
02.01.2019
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Subjects | |
Online Access | Get full text |
ISSN | 1946-6315 1946-6315 |
DOI | 10.1080/19466315.2018.1549095 |
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Abstract | Sequential parallel comparison design (SPCD) was proposed to reduce placebo response in randomized trials with placebo comparators. This design is achieved by randomizing subjects between placebo and drug in stage 1 and after the parallel first stage, participants who do not respond to placebo in stage 1 are randomly re-assigned to treatment or placebo in stage 2. The efficacy analysis of the study data includes all data from stage 1 and all placebo nonresponding participants from stage 2. This article examines the validity of permutation and bootstrap testing for SPCD. We examine two permutation tests and three bootstrap tests for SPCD and give recommendations on which test to use. |
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AbstractList | Sequential parallel comparison design (SPCD) was proposed to reduce placebo response in randomized trials with placebo comparators. This design is achieved by randomizing subjects between placebo and drug in stage 1 and after the parallel first stage, participants who do not respond to placebo in stage 1 are randomly re-assigned to treatment or placebo in stage 2. The efficacy analysis of the study data includes all data from stage 1 and all placebo nonresponding participants from stage 2. This article examines the validity of permutation and bootstrap testing for SPCD. We examine two permutation tests and three bootstrap tests for SPCD and give recommendations on which test to use. |
Author | Zink, Richard C. Ivanova, Anastasia Fine, Jason Silverman, Rachel |
Author_xml | – sequence: 1 givenname: Rachel surname: Silverman fullname: Silverman, Rachel email: rachel.silverman1@merck.com organization: Department of Biostatistics, The University of North Carolina – sequence: 2 givenname: Jason surname: Fine fullname: Fine, Jason organization: Department of Biostatistics, The University of North Carolina – sequence: 3 givenname: Richard C. surname: Zink fullname: Zink, Richard C. organization: TARGET PharmaSolutions Inc – sequence: 4 givenname: Anastasia surname: Ivanova fullname: Ivanova, Anastasia organization: Department of Biostatistics, The University of North Carolina |
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CitedBy_id | crossref_primary_10_1080_10543406_2022_2080695 crossref_primary_10_3390_su151612491 crossref_primary_10_1002_sim_9381 crossref_primary_10_1080_19466315_2021_1924257 crossref_primary_10_3389_fenrg_2023_1238416 crossref_primary_10_1080_10543406_2020_1818252 |
Cites_doi | 10.1214/aoms/1177707045 10.1159/000069738 10.1002/sim.7635 10.1007/978-1-4899-4541-9 10.1198/sbr.2010.08015 10.1007/b97553 10.1016/j.cct.2011.04.006 10.1016/S0924-9338(01)00600-9 10.1038/npp.1994.63 10.1159/000332050 10.4155/cli.13.74 10.1002/sim.4292 |
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Snippet | Sequential parallel comparison design (SPCD) was proposed to reduce placebo response in randomized trials with placebo comparators. This design is achieved by... |
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SubjectTerms | Adaptive design Bootstrap tests Permutation test Placebo response Sequential parallel comparison design |
Title | Permutation and Bootstrap Testing for the Sequential Parallel Comparison Design |
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