Isbn: 9783319843384 - statistical applications for chemistry, manufacturing and controls (cmc) in the pharmaceutical industry (19 risultati)

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Condizione: New. pp. XI, 379 113 illus., 80 illus. in color. Softcover reprint of the original 1st ed. 2017 edition NO-PA16APR2015-KAP.

Condizione: New.

Paperback. Condizione: New. This book examines statistical techniques that are critically important to Chemistry, Manufacturing, and Control (CMC) activities. Statistical methods are presented with a focus on applications unique to the CMC in the pharmaceutical industry.  The target audience consists of statisticians and other scientists who are responsible for performing statistical analyses within a CMC environment. Basic statistical concepts are addressed in Chapter 2 followed by applications to specific topics related to development and manufacturing. The mathematical level assumes an elementary understanding of statistical methods.  The ability to use Excel or statistical packages such as Minitab, JMP, SAS, or R will provide more value to the reader.The motivation for this book came from an American Association of Pharmaceutical Scientists (AAPS) short course on statistical methods applied to CMC applications presented by four of the authors.  One of the course participants asked us for a good reference book, and the only book recommended was written over 20 years ago by Chow and Liu (1995).  We agreed that a more recent book would serve a need in our industry.  Since we began this project, an edited book has been published on the same topic by Zhang (2016).  The chapters in Zhang discuss statistical methods for CMC as well as drug discovery and nonclinical development.  We believe our book complements Zhang by providing more detailed statistical analyses and examples. Softcover reprint of the original 1st ed. 2017.…

Condizione: As New. Unread book in perfect condition.

Taschenbuch. Condizione: Neu. Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry | Richard K. Burdick (u. a.) | Taschenbuch | Statistics for Biology and Health | xi | Englisch | 2018 | Springer | EAN 9783319843384 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book examines statistical techniques that are critically important to Chemistry, Manufacturing, and Control (CMC) activities. Statistical methods are presented with a focus on applications unique to the CMC in the pharmaceutical industry. The target audience consists of statisticians and other scientists who are responsible for performing statistical analyses within a CMC environment. Basic statistical concepts are addressed in Chapter 2 followed by applications to specific topics related to development and manufacturing.The mathematical level assumes an elementary understanding of statistical methods. The ability to use Excel or statistical packages such as Minitab, JMP, SAS, or R will provide more value to the reader.The motivation for this book came from an American Association of Pharmaceutical Scientists (AAPS) short course on statistical methods applied to CMC applications presented by four of the authors. One of the course participants asked us for a good reference book, and the only book recommended was written over 20 years ago by Chow and Liu (1995). We agreed that a more recent book would serve a need in our industry. Since we began this project, an edited book has been published on the same topic by Zhang (2016). The chapters in Zhang discuss statistical methods for CMC as well as drug discovery and nonclinical development. We believe our book complements Zhang by providing more detailed statistical analyses and examples.…

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Paperback. Condizione: New. This book examines statistical techniques that are critically important to Chemistry, Manufacturing, and Control (CMC) activities. Statistical methods are presented with a focus on applications unique to the CMC in the pharmaceutical industry.  The target audience consists of statisticians and other scientists who are responsible for performing statistical analyses within a CMC environment. Basic statistical concepts are addressed in Chapter 2 followed by applications to specific topics related to development and manufacturing. The mathematical level assumes an elementary understanding of statistical methods.  The ability to use Excel or statistical packages such as Minitab, JMP, SAS, or R will provide more value to the reader.The motivation for this book came from an American Association of Pharmaceutical Scientists (AAPS) short course on statistical methods applied to CMC applications presented by four of the authors.  One of the course participants asked us for a good reference book, and the only book recommended was written over 20 years ago by Chow and Liu (1995).  We agreed that a more recent book would serve a need in our industry.  Since we began this project, an edited book has been published on the same topic by Zhang (2016).  The chapters in Zhang discuss statistical methods for CMC as well as drug discovery and nonclinical development.  We believe our book complements Zhang by providing more detailed statistical analyses and examples. Softcover reprint of the original 1st ed. 2017.…

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book examines statistical techniques that are critically important to Chemistry, Manufacturing, and Control (CMC) activities. Statistical methods are presented with a focus on applications unique to the CMC in the pharmaceutical industry. The target audience consists of statisticians and other scientists who are responsible for performing statistical analyses within a CMC environment. Basic statistical concepts are addressed in Chapter 2 followed by applications to specific topics related to development and manufacturing.The mathematical level assumes an elementary understanding of statistical methods. The ability to use Excel or statistical packages such as Minitab, JMP, SAS, or R will provide more value to the reader.The motivation for this book came from an American Association of Pharmaceutical Scientists (AAPS) short course on statistical methods applied to CMC applications presented by four of the authors. One of the course participants asked us for a good reference book, and the only book recommended was written over 20 years ago by Chow and Liu (1995). We agreed that a more recent book would serve a need in our industry. Since we began this project, an edited book has been published on the same topic by Zhang (2016). The chapters in Zhang discuss statistical methods for CMC as well as drug discovery and nonclinical development. We believe our book complements Zhang by providing more detailed statistical analyses and examples. 392 pp. Englisch.…

Condizione: New. Print on Demand pp. XI, 379 113 illus., 80 illus. in color.

Condizione: New. PRINT ON DEMAND pp. XI, 379 113 illus., 80 illus. in color.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers an indispensable guide for statisticians supporting pharmaceutical development and manufacturing, as well as non-statisticians requiring an analysis of their dataCovers a range of applications that covers virtually all aspects of the CMC in.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book examines statistical techniques that are critically important to Chemistry, Manufacturing, and Control (CMC) activities. Statistical methods are presented with a focus on applications unique to the CMC in the pharmaceutical industry.The target audience consists of statisticians and other scientists who are responsible for performing statistical analyses within a CMC environment. Basic statistical concepts are addressed in Chapter 2 followed by applications to specific topics related to development and manufacturing. The mathematical level assumes an elementary understanding of statistical methods. The ability to use Excel or statistical packages such as Minitab, JMP, SAS, or R will provide more value to the reader.The motivation for this book came from an American Association of Pharmaceutical Scientists (AAPS) short course on statistical methods applied to CMC applications presented by four of the authors. One of the course participants asked us for a good reference book, and the only book recommended was written over 20 years ago by Chow and Liu (1995). We agreed that a more recent book would serve a need in our industry.Since we began this project, an edited book has been published on the same topic by Zhang (2016). The chapters in Zhang discuss statistical methods for CMC as well as drug discovery and nonclinical development. We believe our book complements Zhang by providing more detailed statistical analyses and examples.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 392 pp. Englisch.…