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Statistics in Biopharmaceutical Research Volume 9, 2017 - Issue 1
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Original Articles

Integrated Data Analysis for Assessing Treatment Effect through Combining Information from All Sources

Hui QuanBiostatistics and Programming, Sanofi, Bridgewater, NJ
,
Bingzhi ZhangBiostatistics and Programming, Sanofi, Bridgewater, NJ
,
Christy Chuang-SteinChuang-Stein Consulting, Kalamazoo, MI
,
Byron JonesNovartis, Basel, Switzerland
& On behalf of the EFSPI Integrated Data Analysis Efficacy Working Group
Pages 52-64 | Received 01 Oct 2015, Published online: 02 Mar 2017

Citations (5)

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Read on this site (2)

Björn Holzhauer. (2020) Methods for Using Aggregate Historical Control Data in Meta-Analyses of Clinical Trials With Time-to-Event Endpoints. Statistics in Biopharmaceutical Research 12:1, pages 107-116.
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Connor Jo Lewis, Somnath Sarkar, Jiawen Zhu & Bradley P. Carlin. (2019) Borrowing From Historical Control Data in Cancer Drug Development: A Cautionary Tale and Practical Guidelines. Statistics in Biopharmaceutical Research 11:1, pages 67-78.
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Articles from other publishers (3)

Ofir Harari, Mohsen Soltanifar, Andre Verhoek & Bart Heeg. (2023) Alone, together: On the benefits of Bayesian borrowing in a meta‐analytic setting. Pharmaceutical Statistics.
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Sanjay Patole. 2021. Principles and Practice of Systematic Reviews and Meta-Analysis. Principles and Practice of Systematic Reviews and Meta-Analysis 169 176 .
Mark Stander & Julian Stander. (2020) A simple method for correcting for the Will Rogers phenomenon with biometrical applications. Biometrical Journal 62:4, pages 1080-1089.
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