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Statistical Methods for Pharmaceutical Research Planning : Statistics: Textbooks and Monographs - S. W. Bergman

Statistical Methods for Pharmaceutical Research Planning

Statistics: Textbooks and Monographs

Hardcover

Published: 1st January 1985
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The first comprehensive survey of the procedures devised by statisticians and operational researchers to expedite the early stages of pharmaceutical and agri-chemical research, this useful text describes and evaluates all major methodologies, in some cases extending them and offering new ones for the first time. Statistical Methods for Pharmaceutical Research Planning provides ample, non-technical summaries of each method ... gathers information from widely scattered sources ... discusses general statistical methodology not designed specifically for pharmaceutical research ... investigates statistically based procedures, developed by such major figures as Free, Hansch, and Wilson, for finding active compounds ... examines the design of single screens and sequences of screens for testing candidate compounds ... looks at methods for research project selection, devised mainly by management scientists without specific reference to pharmaceutical research ... and contains hundreds of references to sources for further research, plus numerous tables, equations, and line drawings. Statistical Methods for Pharmaceutical Research Planning is essential reading for all those directly or indirectly concerned with planning pharmaceutical and agri-chemical research: statisticians, particularly biostatisticians, pharmacologists, chemists, biologists, research managers, management scientists, and operational researchers. It is also a valuable supplement for graduate-level courses on statistics and operational research. Book jacket.

Prefacep. iii
Quantitative Structure-Activity Relationships (QSAR)p. 1
Introductionp. 1
Regression and Related Methodsp. 11
Classificationp. 42
Miscellaneousp. 61
Referencesp. 89
Screening Procedures for Discovering Active Compoundsp. 105
Introductionp. 105
Formulation of the Problemp. 112
The OC Curve and the Average Sample Numberp. 114
Procedures for Limiting Misclassification Errorsp. 118
Procedures for Maximizing Benefits Subject to a Constraintp. 121
Procedures for Maximizing Net Financial Benefitsp. 127
Referencesp. 136
Allocation of Resources Between Related Screensp. 141
Introductionp. 141
Resource Allocation Between Ordered Screensp. 141
Optimal Sequencing of Screensp. 163
Referencesp. 166
R&D Project Selection Methodsp. 167
Introductionp. 167
Checklists and Profile Chartsp. 179
Scoring Indicesp. 186
Profitability Indicesp. 191
Integer and Linear Programmingp. 200
Stochastic Programmingp. 209
Other Integer and Linear Programming Techniques for Handling Uncertaintyp. 216
Dynamic Programming and Nonlinear Modelsp. 220
RESPRO: An Interactive Modelp. 229
Multiobjective Modelsp. 235
Referencesp. 238
Summary: State of the Artp. 247
Indexp. 251
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9780824771461
ISBN-10: 082477146X
Series: Statistics: Textbooks and Monographs
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 257
Published: 1st January 1985
Publisher: TAYLOR & FRANCIS
Country of Publication: US
Dimensions (cm): 23.42 x 15.14  x 1.8
Weight (kg): 0.52
Edition Number: 1