000			02053cam a2200277zu 4500
001			88849336
003			FRCYB88849336
005			20250107104617.0
006			m o d
007			cr un
008			250107s2017 fr | o|||||0|0|||eng d
020			_a9780444639684
035			_aFRCYB88849336
040			_aFR-PaCSA _ben _c _erda
100	1		_aRao, Arni S. R. Srinivasa
245	0	1	_aDisease Modelling and Public Health, Part A _c['Rao, Arni S. R. Srinivasa']
264		1	_bElsevier Science _c2017
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aRao, Arni S. R. Srinivasa
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88849336 _qtext/html _a
520			_aDisease Modelling and Public Health, Part A, Volume 36 addresses new challenges in existing and emerging diseases with a variety of comprehensive chapters that cover Infectious Disease Modeling, Bayesian Disease Mapping for Public Health, Real time estimation of the case fatality ratio and risk factor of death, Alternative Sampling Designs for Time-To-Event Data with Applications to Biomarker Discovery in Alzheimer's Disease, Dynamic risk prediction for cardiovascular disease: An illustration using the ARIC Study, Theoretical advances in type 2 diabetes, Finite Mixture Models in Biostatistics, and Models of Individual and Collective Behavior for Public Health Epidemiology. As a two part volume, the series covers an extensive range of techniques in the field. It present a vital resource for statisticians who need to access a number of different methods for assessing epidemic spread in population, or in formulating public health policy. Presents a comprehensive, two-part volume written by leading subject expertsProvides a unique breadth and depth of content coverageAddresses the most cutting-edge developments in the field Includes chapters on Ebola and the Zika virus; topics which have grown in prominence and scholarly output
999			_c15234 _d15234