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008			100518s2011 flu sb 001 0 eng d
020			_a9781439835937 (ebook : PDF)
040			_aBD-DhSAU _cBD-DhSAU
090			_aRM301.25 _b.C46 2011
092			_a615.190113 _bC456
100	1		_aChang, Mark.
245	1	0	_aMonte Carlo simulation for the pharmaceutical industry _h[electronic resource] : _bconcepts, algorithms, and case studies / _cMark Chang.
260			_aBoca Raton : _bCRC Press, _c2011.
300			_a564 p.
490	1		_aChapman & Hall/CRC biostatistics series ; _v36
504			_aIncludes bibliographical references and index.
520			_a"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.
530			_aAlso available in print edition.
538			_aMode of access: World Wide Web.
650		0	_aDrug development _xComputer simulation.
650		0	_aMonte Carlo method.
655		7	_aElectronic books. _2lcsh
776	1		_z9781439835920
830		0	_aChapman & Hall/CRC biostatistics series ; _v36.
856	4	0	_uhttp://marc.crcnetbase.com/isbn/9781439835937 _qapplication/PDF
999			_c12149 _d12148