MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03336cam a22004334a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
16243245 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20180529094813.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
100518s2011 fluab b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2010019530 |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER |
|---|
| Record control number |
101531192 |
| Source |
DNLM |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781439835920 (hardcover : alk. paper) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
1439835926 (hardcover : alk. paper) |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)ocn624405718 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DNLM/DLC |
| Transcribing agency |
DLC |
| Modifying agency |
YDX |
| -- |
NLM |
| -- |
YDXCP |
| -- |
CDX |
| -- |
DLC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
RM301.25 |
| Item number |
.C46 2011 |
| 060 00 - NATIONAL LIBRARY OF MEDICINE CALL NUMBER |
|---|
| Classification number |
2010 M-583 |
| 060 10 - NATIONAL LIBRARY OF MEDICINE CALL NUMBER |
|---|
| Classification number |
QV 736 |
| Item number |
C4555m 2011 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
615.19 |
| Edition number |
22 |
| Item number |
C.M.M |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Chang, Mark. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Monte Carlo simulation for the pharmaceutical industry : |
| Remainder of title |
concepts, algorithms, and case studies / |
| Statement of responsibility, etc |
Mark Chang. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st ed |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Boca Raton, FL : |
| Name of publisher, distributor, etc |
CRC Press, |
| Date of publication, distribution, etc |
c2011. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxiii, 539 p. : |
| Other physical details |
ill. (some col.), maps ; |
| Dimensions |
25 cm. |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Chapman & Hall/CRC biostatistics series ; |
| Volume number/sequential designation |
36 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"Preface Drug development, aiming at improving people's health, becomes more costly every year. The pharmaceutical industry must join its efforts with government and health professions to seek new, innovative, and cost- effective approaches in the development process. During this evolutionary process in the next decades, computer simulations will no doubt play a critical role. Computer simulation or Monte Carlo is the technique of simulating a dynamic system or process using a computer program. Computer simulations, as an efficient and effective research tool, have been used virtually in every concern of engineering, science, mathematics, etc. In this book, I am going to present the concept, theory, algorithm, and cases studies of Monte Carlo simulation in the pharmaceutical and health industries. The concepts refer not only to simulation in general, but also to various types of simulations in drug development. The theory will include virtual data sampling, game theory, deterministic and stochastic decision theories, adaptive design methods, Petrinet, genetic programming, resampling methods, and other strategies. These theories and methods either are necessary to carry out the simulations or make the simulations more efficient, even though there are many practical problems that can be simulated directly in ad hoc fashion without any theory of their efficiency or convergence considerations. The algorithms, which can be descriptive, computer pseudocode, or a combination of both, provide the basis for implementation of simulation methods. The case studies or applications are the simplified versions of the real world problems. These simplifications are necessary because a single case could otherwise occupy the whole book, preventing readers from exploring broad issues"--Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Drug development |
| General subdivision |
Computer simulation. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Monte Carlo method. |
| 650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Drug Industry |
| General subdivision |
methods. |
| 650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computer Simulation. |
| 650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Drug Design. |
| 650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Monte Carlo Method. |
| 650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Technology, Pharmaceutical |
| General subdivision |
methods. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Chapman & Hall/CRC biostatistics series ; |
| Volume number/sequential designation |
36. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Item type |
Books |
