000			01843cam a2200277 4500
008			031105s2000 xxu 000 0 eng u
020			_a0387950273
035			_a(Sirsi) i0387950273
060			_aQA 279 2000VE
100	1		_aVerbeke, Geert
700	1		_aMolenberghs, Geert .
505	0		_aIntroduction -- Ch 2.Examples -- Ch 3 Model for Longitudinal Data -- Ch.4 Exploratory Data Analysis -- Ch.5 Estimation of the Marginal Model -- Ch.6 Inference for the Marginal Model -- Ch.7 Inference for the Random Effects -- Ch.8 Fitting Linear Mixed Models with SAS -- Ch.9 General Guidelines for Model Building -- Ch. 10 Exploring Serial Correlation -- Ch.11 Local Influence for the Linear Mixed Model -- Ch.12 The Heterogeneity Model -- Ch. 13 Conditional Linear Mixed Models -- Ch.14 Exploring Incomplete Data -- Ch.15 Joint Modeling of Measurements and Missingness -- Ch.16 Simple Missing Data Methods -- Ch.17 Selection Models -- Ch.18 Pattern-Mixture Models -- Ch.19 Sensitivity Analysis for Selection Models -- Ch.20 Sensitivity Analysis for Pattern-Mixture Models -- Ch.21 How Ignorable Is Missing At Random? -- Ch. 22 The Expectation-Maximization Algorithm -- Ch.23 Design Considerations 3 -- Ch.24 Case Studies -- App. A: Software -- App. B Technical Details for Sensitivity Analysis -- References -- Index .
245	1	0	_aLinear mixed models for longitudinal data / _cGeert Verbeke, Geert Molenberghs.
250			_a
300			_axxii, 568 p. : _bill. ; _c25 cm
260			_aNew York : _bSpringer, _c2000.
440	0		_aSpringer series in statistics .
500			_a
650	0	2	_aData collection _xmethods.
650	0	2	_aLongitudinal studies.
650	0	2	_aLinear models.
650	0	2	_aResearch design.
650	0	2	_aData interpretation, Statistical.
596			_a4
942			_2NLM _cMONOGRAPH
999			_c27989 _d27989