000			03714cam a2200517Ii 4500
001			9780429055713
003			FlBoTFG
005			20220509193053.0
006			m o d
007			cr |n|||||||||
008			190418s2019 flu o 000 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a9780429055713 _q(electronic bk.)
020			_a0429055714 _q(electronic bk.)
020			_a9780429616907 _q(electronic bk. : Mobipocket)
020			_a0429616902 _q(electronic bk. : Mobipocket)
020			_a9780429621208 _q(electronic bk. : PDF)
020			_a0429621205 _q(electronic bk. : PDF)
020			_a9780429619052 _q(electronic bk. : EPUB)
020			_a0429619057 _q(electronic bk. : EPUB)
020			_z9780367152062
020			_z0367152061
035			_a(OCoLC)1097607794
035			_a(OCoLC-P)1097607794
050		4	_aQA278.2 _b.C86 2019
072		7	_aMAT _x003000 _2bisacsh
072		7	_aMAT _x029000 _2bisacsh
072		7	_aREF _x000000 _2bisacsh
072		7	_aPBT _2bicssc
082	0	4	_a519.5/36 _223
100	1		_aCummings, Peter _c(Epidemiologist), _eauthor.
245	1	0	_aAnalysis of incidence rates _h[electronic resource] / _cPeter Cummings.
264		1	_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c2019.
300			_a1 online resource
520			_aIncidence rates are counts divided by person-time; mortality rates are a well-known example. Analysis of Incidence Rates offers a detailed discussion of the practical aspects of analyzing incidence rates. Important pitfalls and areas of controversy are discussed. The text is aimed at graduate students, researchers, and analysts in the disciplines of epidemiology, biostatistics, social sciences, economics, and psychology. Features: Compares and contrasts incidence rates with risks, odds, and hazards. Shows stratified methods, including standardization, inverse-variance weighting, and Mantel-Haenszel methods Describes Poisson regression methods for adjusted rate ratios and rate differences. Examines linear regression for rate differences with an emphasis on common problems. Gives methods for correcting confidence intervals. Illustrates problems related to collapsibility. Explores extensions of count models for rates, including negative binomial regression, methods for clustered data, and the analysis of longitudinal data. Also, reviews controversies and limitations. Presents matched cohort methods in detail. Gives marginal methods for converting adjusted rate ratios to rate differences, and vice versa. Demonstrates instrumental variable methods. Compares Poisson regression with the Cox proportional hazards model. Also, introduces Royston-Parmar models. All data and analyses are in online Stata files which readers can download. Peter Cummings is Professor Emeritus, Department of Epidemiology, School of Public Health, University of Washington, Seattle WA. His research was primarily in the field of injuries. He used matched cohort methods to estimate how the use of seat belts and presence of airbags were related to death in a traffic crash. He is author or co-author of over 100 peer-reviewed articles.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aCorrelation (Statistics)
650		0	_aMultivariate analysis.
650		0	_aRegression analysis.
650		0	_aMathematical statistics.
650		0	_aProbabilities.
650		7	_aMATHEMATICS / Applied. _2bisacsh
650		7	_aMATHEMATICS / Probability & Statistics / General. _2bisacsh
650		7	_aREFERENCE / General _2bisacsh
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429055713
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c129247 _d129247