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Pharmaceutical Statistics

Über Pharmaceutical Statistics

Books covering pharmaceutical sciences combined with statistics are not available in the market. To overcome this setback, this book is authored in a detailed and easy to understand manner incorporating the updated information containing the following features. Syllabus prescribed for B. Pharm & M. Pharm students is covered in detail The application of pharmaceutical statistics to research and clinical evaluation Prime importance is given to the creation of tables and graphs Data presentation, inferential tests such as parametric and nonparametric methods, regression and correlation factors are presented lucidly The importance of ANOVA in statistical designs used in pharmaceutical research Introduction of elementary concepts of the design and analysis of factorial designs Optimization techniques with suitable examples The important designs and their applications predominantly used in controlled clinical studies Application of statistics in quality control.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9789385433795
  • Einband:
  • Gebundene Ausgabe
  • Seitenzahl:
  • 492
  • Veröffentlicht:
  • 1. Oktober 2016
  • Ausgabe:
  • 2
  • Abmessungen:
  • 235x191x27 mm.
  • Gewicht:
  • 1052 g.
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Beschreibung von Pharmaceutical Statistics

Books covering pharmaceutical sciences combined with statistics are not available in the market. To overcome this setback, this book is authored in a detailed and easy to understand manner incorporating the updated information containing the following features.
Syllabus prescribed for B. Pharm & M. Pharm students is covered in detail
The application of pharmaceutical statistics to research and clinical evaluation
Prime importance is given to the creation of tables and graphs
Data presentation, inferential tests such as parametric and nonparametric methods, regression and correlation factors are presented lucidly
The importance of ANOVA in statistical designs used in pharmaceutical research
Introduction of elementary concepts of the design and analysis of factorial designs
Optimization techniques with suitable examples
The important designs and their applications predominantly used in controlled clinical studies
Application of statistics in quality control.

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