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Statistical methodology in the pharmaceutical sciences

Contributor(s): Material type: TextTextSeries: Publication details: New York M. Dekker 1990Description: viii, 578 pISBN:
  • 9780824781170
Subject(s): DDC classification:
  • 615.1901 S8
Summary: A state-of-the-art handbook of statistical analysis for use in the pharmaceutical industry. Areas covered in this reference/text include: bioavailability, repeated-measures designs, dose-response, population models, multicenter trials, handling dropouts, survival analysis, robust data analysis, cate. Table of content: Basic principles in designing and analyzing clinical studies /​ Donald A. Berry Bioavailability : designs and analysis /​ Bruce E. Rodda Analysis of repeated-measures designs /​ George A. Milliken Dose-response : relating doses and plasma levels to efficacy and adverse experiences /​ Bruce P. Ekholm, Terrance L. Fox, and James A. Bolognese Population models /​ Amy Racine-Poon and Adrian F.M. Smith Linear and nonlinear regression /​ R. Dennis Cook and Sanford Weisberg Design and analysis of multicenter trials /​ Judith D. Goldberg and Kenneth J. Koury Crossover versus parallel designs /​ Andrew P. Grieve. Handling dropouts and related issues /​ Richard G. Cornell Group sequential methods in clinical trials /​ Peter C. O'Brien Survival analysis /​ John D. Kalbfleisch and James O. Street Robust data analysis /​ Robert V. Hogg, Stephen J. Ruberg, and Lianng Yuh Categorical data analysis /​ Gary G. Koch ... [et al.] Causality assessment for adverse drug reactions /​ David A. Lane Bayesian metaanalysis /​ William DuMouchel Inferential problems in postmarketing surveillance /​ David A. Lane and Nigel S.B. Rawson. (https://openlibrary.org/works/OL5374202W/Statistical_Methodology_in_the_Pharmaceutical_Sciences_%28Statistics_a_Series_of_Textbooks_and_Monogrp)
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Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book Ahmedabad Non-fiction 615.1901 S8 (Browse shelf(Opens below)) Available 189681
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A state-of-the-art handbook of statistical analysis for use in the pharmaceutical industry. Areas covered in this reference/text include: bioavailability, repeated-measures designs, dose-response, population models, multicenter trials, handling dropouts, survival analysis, robust data analysis, cate.

Table of content:
Basic principles in designing and analyzing clinical studies /​ Donald A. Berry
Bioavailability : designs and analysis /​ Bruce E. Rodda
Analysis of repeated-measures designs /​ George A. Milliken
Dose-response : relating doses and plasma levels to efficacy and adverse experiences /​ Bruce P. Ekholm, Terrance L. Fox, and James A. Bolognese
Population models /​ Amy Racine-Poon and Adrian F.M. Smith
Linear and nonlinear regression /​ R. Dennis Cook and Sanford Weisberg
Design and analysis of multicenter trials /​ Judith D. Goldberg and Kenneth J. Koury
Crossover versus parallel designs /​ Andrew P. Grieve.
Handling dropouts and related issues /​ Richard G. Cornell
Group sequential methods in clinical trials /​ Peter C. O'Brien
Survival analysis /​ John D. Kalbfleisch and James O. Street
Robust data analysis /​ Robert V. Hogg, Stephen J. Ruberg, and Lianng Yuh
Categorical data analysis /​ Gary G. Koch ... [et al.]
Causality assessment for adverse drug reactions /​ David A. Lane
Bayesian metaanalysis /​ William DuMouchel
Inferential problems in postmarketing surveillance /​ David A. Lane and Nigel S.B. Rawson.
(https://openlibrary.org/works/OL5374202W/Statistical_Methodology_in_the_Pharmaceutical_Sciences_%28Statistics_a_Series_of_Textbooks_and_Monogrp)

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