000			02839nam a22003858i 4500
001			CR9780511811692
003			UkCbUP
005			20200124160300.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			101021s2006||||enk o ||1 0|eng|d
020			_a9780511811692 (ebook)
020			_z9780521840514 (hardback)
020			_z9780521549851 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aR853.S7 _bK38 2006
082	0	4	_a519.5302461 _222
100	1		_aKatz, Mitchell H., _eauthor.
245	1	0	_aMultivariable analysis : _ba practical guide for clinicians / _cMitchell H. Katz.
250			_aSecond edition.
264		1	_aCambridge : _bCambridge University Press, _c2006.
300			_a1 online resource (xv, 203 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aIntroduction -- Common uses of multivariable models -- Outcome variables in multivariable analysis -- Type of independent variables in multivariable analysis -- Assumptions of multiple linear regression, multiple logistic regression, and proportional hazards analysis -- Relationship of independent variables to one another -- Setting up a multivariable analysis -- Performing the analysis -- Interpreting the analysis -- Checking the assumptions of the analysis -- Propensity scores -- Correlated observations -- Validation of models -- Special topics -- Publishing your study -- Summary: steps for constructing a multivariable model.
520			_aThis new edition has been fully revised to build on the enormous success of its popular predecessor. It now includes new features introduced by readers' requests including a new chapter on propensity score, more detail on clustered data and Poisson regression and a new section on analysis of variance. As before it describes how to perform and interpret multivariable analysis, using plain language rather than complex derivations and mathematical formulae. It is the perfect introduction for all clinical researchers. It focuses on the nuts and bolts of performing research and prepares the reader to perform and interpret multivariable models. Numerous tables, graphs and tips help to simplify and explain the process of performing multivariable analysis. The text is illustrated with many up-to-date examples from the medical literature on how to use multivariable analysis in clinical practice and in research.
650		0	_aMedicine _xResearch _xStatistical methods.
650		0	_aMultivariate analysis.
650		0	_aBiometry.
650		0	_aMedical statistics.
776	0	8	_iPrint version: _z9780521840514
856	4	0	_uhttps://doi.org/10.1017/CBO9780511811692
999			_c520262 _d520260