Statistical Methodology in the Pharmaceutical Sciences - Info and Reading Options
By D. A. Berry


"Statistical Methodology in the Pharmaceutical Sciences" was published by M. Dekker in 1990 - New York, the book is classified in Mathematics genre, it has 578 pages and the language of the book is English.
“Statistical Methodology in the Pharmaceutical Sciences” Metadata:
- Title: ➤ Statistical Methodology in the Pharmaceutical Sciences
- Author: D. A. Berry
- Language: English
- Number of Pages: 578
- Is Family Friendly: Yes - No Mature Content
- Publisher: M. Dekker
- Publish Date: 1990
- Publish Location: New York
- Genres: Mathematics
“Statistical Methodology in the Pharmaceutical Sciences” Subjects and Themes:
- Subjects: ➤ Statistical methods - Drug Industry - Recherche - Clinical trials - Research - Etudes cliniques - Pharmacy - Medicaments - Methods - Drugs - Essais - Testing - Clinical Trials as Topic - Statistics as Topic - Methode - Methodes statistiques - Aufsatzsammlung - Pharmazie - Statistik - Biometry - Statistics - Pharmaceutical industry - Médicaments - Essais cliniques - Méthodes statistiques - Études cliniques - Industrie pharmaceutique - MEDICAL - Drug Guides - Pharmacology - Nursing
Edition Specifications:
- Pagination: viii, 578 p. :
Edition Identifiers:
- Google Books ID: 94OhAwAAQBAJ
- The Open Library ID: OL2197155M - OL5374202W
- Online Computer Library Center (OCLC) ID: 47009462 - 20013540
- Library of Congress Control Number (LCCN): 89016852
- ISBN-13: 9780824781170
- ISBN-10: 0824781171
- All ISBNs: 0824781171 - 9780824781170
AI-generated Review of “Statistical Methodology in the Pharmaceutical Sciences”:
Snippets and Summary:
A state-of-the-art handbook of statistical analysis for use in the pharmaceutical industry.
"Statistical Methodology in the Pharmaceutical Sciences" Description:
The Open Library:
This is 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, and, robust data analysis.
Google Books:
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
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- Public Domain: No
- Availability Status: Partially available
- Availability Status for country: US.
- Available Formats: Text is not avialbe, image copy is available.
- Google Books Link: Google Books
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- Is Online Borrowing Available: Yes
- Preview Status: restricted
- Check if available: The Open Library & The Internet Archive
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