000 01490 a2200433 4500
005 20250513210831.0
264 0 _c20000629
008 200006s 0 0 eng d
022 _a0277-6715
024 7 _a10.1002/(sici)1097-0258(20000515)19:9<1191::aid-sim460>3.0.co;2-1
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aRoyston, P
245 0 0 _aChoice of scale for cubic smoothing spline models in medical applications.
_h[electronic resource]
260 _bStatistics in medicine
_cMay 2000
300 _a1191-205 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't
650 0 4 _aAdult
650 0 4 _aAging
_ximmunology
650 0 4 _aBreast Neoplasms
_xpathology
650 0 4 _aChild
650 0 4 _aChild, Preschool
650 0 4 _aComputer Simulation
650 0 4 _aDisease-Free Survival
650 0 4 _aFemale
650 0 4 _aHumans
650 0 4 _aImmunoglobulin G
_xblood
650 0 4 _aInfant
650 0 4 _aInfant, Newborn
650 0 4 _aInfant, Premature
650 0 4 _aLymph Nodes
_xpathology
650 0 4 _aMiddle Aged
650 0 4 _aModels, Biological
650 0 4 _aNeural Conduction
_xphysiology
650 0 4 _aPrognosis
650 0 4 _aReceptors, Progesterone
_xmetabolism
650 0 4 _aRegression Analysis
773 0 _tStatistics in medicine
_gvol. 19
_gno. 9
_gp. 1191-205
856 4 0 _uhttps://doi.org/10.1002/(sici)1097-0258(20000515)19:9<1191::aid-sim460>3.0.co;2-1
_zAvailable from publisher's website
999 _c10749813
_d10749813