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Journal of Biopharmaceutical Statistics Volume 23, 2013 - Issue 1: Medical Product Safety
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Original Articles

Interdependence of Baseline Correction Method and Covariance Structure for Crossover TQT Studies

Wenqing Li Biometrics and Data Management, Novartis Pharmaceuticals, Florham Park, New Jersey, USACorrespondence[email protected]
,
Andrea Maes Watson Pharmaceuticals, Inc., Parsippany, New Jersey, USA
,
Michelle Quinlan Biometrics and Data Management, Novartis Pharmaceuticals, Florham Park, New Jersey, USA
&
Suraj Anand Biometrics and Data Management, Novartis Pharmaceuticals, Florham Park, New Jersey, USA
Pages 82-97 | Received 12 Feb 2012, Accepted 27 Jul 2012, Published online: 18 Jan 2013

Citations (5)

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Read on this site (1)

Wei Wang. (2017) Checking identifiability of covariance parameters in linear mixed effects models. Journal of Applied Statistics 44:11, pages 1938-1946.
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Articles from other publishers (4)

Yasushi Orihashi & Yuji Kumagai. (2021) Concentration-QTc analysis with two or more correlated baselines. Journal of Pharmacokinetics and Pharmacodynamics 48:5, pages 615-622.
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Yasushi Orihashi, Yuji Kumagai & Kazuhito Shiosakai. (2020) Novel concentration‐QTc models for early clinical studies with parallel placebo controls: A simulation study . Pharmaceutical Statistics 20:2, pages 375-389.
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Wei Wang. (2016) Identifiability of covariance parameters in linear mixed effects models. Linear Algebra and its Applications 506, pages 603-613.
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Arne Ring & Robert Schall. 2014. Statistical Methods for Evaluating Safety in Medical Product Development. Statistical Methods for Evaluating Safety in Medical Product Development 193 228 .

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