000			01831cam a2200277 a 4500
001			2087379
005			20160912120439.0
008			050207s1996 xxu eng
010			_a 95019489
020			_a0300062990
035			_a(Sirsi) i0300062990
060			_aQA 278.2 96FE
040			_aDLC _cDLC _dDLC
050	0	0	_aQA278 _b.F45 1996
082	0	0	_a519.5/35/02461 _220
100	1		_aFeinstein, Alvan R.
245	1	0	_aMultivariable Analysis : _ban introduction / _cAlvan R. Feinstein.
260			_aNew Haven, Conn. : _bYale University Press, _c1996.
300			_axvi, 613 p. : _bill. ; _c26 cm. +1 computer disk(3 1/2 in.)
504			_a
505	0		_aCh.1 Introduction -- Ch.2 Goals of univariate and bivariate analysis -- Ch.3 Goals of multivariable analysis -- Ch.4 Taxonomy of multivariable methods -- Ch.5 Classification and coding decisions -- Ch.6 Appraisal of simple displays -- Ch.7 Simple linear regression: the algebraic prototype -- Ch.8 Stratified rates: the cluster prototype -- Ch.9 Bivariate evaluations of illustrative data set -- Ch.10 Complexity of additional independent variables -- Ch.11 Multivariable explorations and reductions -- Ch.12 Evaluations and illustrations of multiple linear regression -- Ch.13 Multiple logistic regression -- Ch.14 Evaluations and illustrations of logistic regression -- Ch.15 Proportional hazards analysis (Cox regression) -- Ch.16 Evaluations and illustrations of Cox regression -- Ch.17 Discriminant function analysis -- Ch.18 Illustrations of discriminant function analysis -- Ch.19 Basic strategies of cluster operations -- Ch.20 Multicategorical stratification -- Ch.21 Recursive partitioning -- Ch.22 Additional discussion and conclusions
650	0	2	_aMultivariate analysis.
650	0	2	_aStatistics.
596			_a4
942			_2NLM _cMONOGRAPH
999			_c28927 _d28927