Streamlined variance calculations for semiparametric mixed models.

@article{citeulike:1424280, abstract = {Semiparametric mixed model analysis benefits from variability estimates such as standard errors of effect estimates and variability bars to accompany curve estimates. We show how the underlying variance calculations can be done extremely efficiently compared with the direct na\"{i}ve approach. These streamlined calculations are linear in the number of subjects, representing a two orders of magnitude improvement. Copyright (c) 2007 John Wiley \& Sons, Ltd.}, address = {School of Mathematics and Statistics, University of New South Wales, Sydney 2052, NSW, Australia.}, author = {Smith, Andrew D A C D. and Wand, M P P. }, citeulike-article-id = {1424280}, doi = {10.1002/sim.2925}, issn = {0277-6715}, journal = {Stat Med}, keywords = {mixed-model, r, semiparametric}, month = {May}, posted-at = {2007-06-30 04:47:11}, priority = {2}, title = {Streamlined variance calculations for semiparametric mixed models.}, url = {http://dx.doi.org/10.1002/sim.2925}, year = {2007} }

TY - JOUR ID - citeulike:1424280 L3 - citeulike-article-id:1424280 TI - Streamlined variance calculations for semiparametric mixed models. JF - Stat Med AD - School of Mathematics and Statistics, University of New South Wales, Sydney 2052, NSW, Australia. SN - 0277-6715 N2 - Semiparametric mixed model analysis benefits from variability estimates such as standard errors of effect estimates and variability bars to accompany curve estimates. We show how the underlying variance calculations can be done extremely efficiently compared with the direct naïve approach. These streamlined calculations are linear in the number of subjects, representing a two orders of magnitude improvement. Copyright (c) 2007 John Wiley & Sons, Ltd. KW - mixed-model KW - r KW - semiparametric AU - Smith, Andrew D A C AU - Wand, M P PY - 2007/05/15/ UR - http://dx.doi.org/10.1002/sim.2925 ER -