000 02286nam a2200373 a 4500
001 .b41793869
003 OSt
005 20171009160849.0
008 090512t2008 xxuad||||fbs||0|1 ||eng|c
020 _a9780470028421
040 _aES-BaCBU
_bcat
_cES-BaCBU
_dOSt
041 _aeng
080 _a311(02)
100 1 _aRoyston, Patrick
_97184
_eaut.
245 1 0 _aMultivariable model-building :
_ba pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables /
_cPatrick Royston, Willi Sauerbrei.
260 _aHoboken, NJ :
_bJohn Wiley,
_ccop. 2008
300 _axvii, 303 p. :
_bil., gràf. ;
_c25 cm
504 _aInclou referències bibliogràfiques i índex.
520 _aMultivariable regression models are of fundamental importance in all areas of science in which empirical data must be analyzed. This book proposes a systematic approach to building such models based on standard principles of statistical modeling. The main emphasis is on the fractional polynomial method for modeling the influence of continuous variables in a multivariable context, a topic for which there is no standard approach. Existing options range from very simple step functions to highly complex adaptive methods such as multivariate splines with many knots and penalisation. This new approach, developed in part by the authors over the last decade, is a compromise which promotes interpretable, comprehensible and transportable models.
546 1 _aContingut en anglès.
650 7 _aAnàlisi de regressió
_2lemac
_9179
650 0 _aPolinomis
_2lemac
_912832
655 0 _914269
_aANÁLISIS DE REGRESIÓN
_fREGRESSION ANALYSIS
_iANÀLISI DE REGRESSIÓ
655 0 _91363
_aANÁLISIS MULTIVARIABLE
_fMULTIVARIATE ANALYSIS
_iANÀLISI MULTIVARIABLE
655 0 _91821
_aMODELOS ESTADÍSTICOS
_fSTATISTICAL MODELS
_iMODELS ESTADÍSTICS
655 0 _9330
_aMÉTODOS DE INVESTIGACIÓN
_fRESEARCH METHODS
_iMÈTODES D'INVESTIGACIÓ
655 0 _9212
_aMANUAL
_fHANDBOOK
_iMANUAL
700 1 _aSauerbrei, Willi
_eaut.
_97185
830 0 _aWiley series in probability and mathematical statistics
_914527
901 _aRevisat
907 _a.b41793869
_b07-03-17
_c12-05-09
_d12-05-09
_em
_fa
_g-
_heng
_ixxu
_j0
_k0
940 _aUPC
942 _2udc
_cMO
999 _c6532
_d6532