Statistical Methods in Biomarker and Early Clinical Development by Fang, Liang

Statistical Methods in Biomarker and Early Clinical Development (Paperback) (ISBN-13: 9783030315054)

Vendor: Liang Fang
Product type: Books
Format: Paperback
$159.00
$159.00
$159.00
Subtotal: $159.00
Statistical Methods in Biomarker and Early Clinical Development by Fang, Liang

Statistical Methods in Biomarker and Early Clinical Development

$159.00
Statistical Methods in Biomarker and Early Clinical Development by Fang, Liang

Statistical Methods in Biomarker and Early Clinical Development

$159.00
Format: Paperback
Description
Description
x
Predictive Subgroup/Biomarker Identification and Machine Learning Methods.- Characterize and Dichotomize a Continuous Biomarker.- Surrogate Biomarkers.- Innovative Designs for Biomarker Guided Trials.- Statistical Considerations in the Development of Companion Diagnostic Device.- Biomarker Assay Development, Qualification and Validation.- Validation of Genomic Based Assay.- Clinical Application of Molecular Features in Therapeutic Selection and Drug Development.- Big data, real-world data, and machine learning.- Design and Analysis of Clinical Pharmacology Studies.- Statistical Considerations in Proof of Concept Studies.- Safety in Early Phase Studies.- Statistical Evaluation of QT/QTc Interval Prolongation.- Phase II Dose Finding.- Pharmacometrics.

Author: Liang Fang
ISBN-10: 3030315053
ISBN-13: 9783030315054
Publisher: Springer
Language: English
Published: 01/21/2021
Pages: 348
Format: Paperback
Weight: 1.12lbs
Size: 9.21h x 6.14w x 0.75d
By Liang Fang
By Liang Fang
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​Liang Fang is an Executive Director and Head of Biostatistics in MyoKardia Inc. His research interests include statistical applications in drug development, precision medicine, and digital health.
Cheng Su is an Executive Director of Data Science & Analytics at BioMarin, Inc. His research interests include statistical applications and tool development in drug discovery, biomarkers, clinical trials design, risk based monitoring, mobile health and big data.

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