南開科技大學圖書館 |

Language: 繁體中文

說明(常見問題)

南開科技大學

圖書館首頁

編目中圖書申請

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Linear mixed models for longitudinal...

Molenberghs, Geert.

Linear mixed models for longitudinal data

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Linear mixed models for longitudinal data/ Geert Verbeke, Geert Molenberghs.
作者:	Verbeke, Geert.
其他作者:	Molenberghs, Geert.
出版者:	New York :Springer,�000.
面頁冊數:	1 online resource (xxii, 568 pages) :illustrations.
標題:	Linear models (Statistics) -
電子資源:	Click here for online access to this book (查閱全文) (EBSCO eBook)
ISBN:	038722775X (electronic bk.)
ISBN:	9780387227757 (electronic bk.)
ISBN:	9781441903006 (electronic bk.)
ISBN:	1441903003 (electronic bk.)

Linear mixed models for longitudinal data
Verbeke, Geert.

Linear mixed models for longitudinal data[electronic resource] /Geert Verbeke, Geert Molenberghs. - New York :Springer,�000. - 1 online resource (xxii, 568 pages) :illustrations. - Springer series in statistics. - Springer series in statistics..

Includes bibliographical references (pages 523-553) and index.

1. Introduction -- 2. Examples -- 3. A Model for Longitudinal Data -- 4. Exploratory Data Analysis -- 5. Estimation of the Marginal Model -- 6. Inference for the Marginal Model -- 7. Inference for the Random Effects -- 8. Fitting Linear Mixed Models with SAS -- 9. General Guidelines for Model Building -- 10. Exploring Serial Correlation -- 11. Local Influence for the Linear Mixed Model -- 12. The Heterogeneity Model -- 13. Conditional Linear Mixed Models -- 14. Exploring Incomplete Data -- 15. Joint Modeling of Measurements and Missingness -- 16. Simple Missing Data Methods -- 17. Selection Models -- 18. Pattern-Mixture Models -- 19. Sensitivity Analysis for Selection Models -- 20. Sensitivity Analysis for Pattern-Mixture Models -- 21. How Ignorable Is Missing At Random? -- 22. The Expectation-Maximization Algorithm -- 23. Design Considerations -- 24. Case Studies -- App. B. Technical Details for Sensitivity Analysis.

The SAS routines on mixed models have applications in many areas of statistics, especially biostatistics, but the procedures are not well- documented. Based on short courses given by the authors, this book provides practical guidance for SAS users.

English.

ISBN: 038722775X (electronic bk.)Subjects--Topical Terms:

148693
Linear models (Statistics)
Index Terms--Genre/Form:

172687
Electronic books.

LC Class. No.: QA279 / .V458 2000eb

Dewey Class. No.: 519.5/3

Linear mixed models for longitudinal data
LDR:03419nmm 2200481Ia 4500 001 1000046936
005 20140814074012.0
006 m o d
007 cr cnu|||unuuu
008 040331s2000 nyua obs 001 0 eng d
019 $a 55050800 $a 228040541 $a 228373867 $a 488728607 $a 559529611 $a 646705795 $a 722099420
020 $a 038722775X (electronic bk.)
020 $a 9780387227757 (electronic bk.)
020 $a 9781441903006 (electronic bk.)
020 $a 1441903003 (electronic bk.)
020 $z 9780387950273
020 $z 0387950273
020 $z 0387982221 (alk. paper)
035 $a (OCoLC)54850270 $z (OCoLC)55050800 $z (OCoLC)228040541 $z (OCoLC)228373867 $z (OCoLC)488728607 $z (OCoLC)559529611 $z (OCoLC)646705795 $z (OCoLC)722099420
035 $a ocm54850270
040 $a N$T $b eng $e pn $c N$T $d OCLCQ $d OCL $d YDXCP $d OCLCQ $d TNF $d OCLCQ $d MERUC $d CCO $d E7B $d EBLCP $d UV0 $d UAB $d MHW $d IDEBK $d OCLCO $d OCLCQ $d GW5XE $d OCLCF $d OCLCQ $d DKDLA $d GW5XE $d OCLCQ
049 $a MAIN{me_controlnum}
050 4 $a QA279 $b .V458 2000eb
072 7 $a MAT $x 029000 $2 bisacsh
082 0 4 $a 519.5/3 $2 22
100 1 $a Verbeke, Geert. $3 1000064827
245 1 0 $a Linear mixed models for longitudinal data $h [electronic resource] / $c Geert Verbeke, Geert Molenberghs.
260 $a New York : $b Springer, $c �000.
300 $a 1 online resource (xxii, 568 pages) : $b illustrations.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
490 1 $a Springer series in statistics
504 $a Includes bibliographical references (pages 523-553) and index.
505 0 $a 1. Introduction -- 2. Examples -- 3. A Model for Longitudinal Data -- 4. Exploratory Data Analysis -- 5. Estimation of the Marginal Model -- 6. Inference for the Marginal Model -- 7. Inference for the Random Effects -- 8. Fitting Linear Mixed Models with SAS -- 9. General Guidelines for Model Building -- 10. Exploring Serial Correlation -- 11. Local Influence for the Linear Mixed Model -- 12. The Heterogeneity Model -- 13. Conditional Linear Mixed Models -- 14. Exploring Incomplete Data -- 15. Joint Modeling of Measurements and Missingness -- 16. Simple Missing Data Methods -- 17. Selection Models -- 18. Pattern-Mixture Models -- 19. Sensitivity Analysis for Selection Models -- 20. Sensitivity Analysis for Pattern-Mixture Models -- 21. How Ignorable Is Missing At Random? -- 22. The Expectation-Maximization Algorithm -- 23. Design Considerations -- 24. Case Studies -- App. B. Technical Details for Sensitivity Analysis.
520 $a The SAS routines on mixed models have applications in many areas of statistics, especially biostatistics, but the procedures are not well- documented. Based on short courses given by the authors, this book provides practical guidance for SAS users.
546 $a English.
588 $a Description based on print version record.
650 0 $a Linear models (Statistics) $3 148693
650 0 $a Longitudinal method. $3 184346
650 0 $a Mathematics. $3 146772
650 2 $a Statistics $x methods. $3 1000064829
650 2 $a Linear Models. $3 1000064830
650 2 $a Longitudinal Studies. $3 183543
650 6 $a Mod墈les lin歋aires (Statistique) $3 1000064766
650 6 $a M歋thode longitudinale. $3 1000064831
650 7 $a MATHEMATICS $x Probability & Statistics $x General. $2 bisacsh $3 1000062101
655 4 $a Electronic books. $2 local. $3 172687
700 1 $a Molenberghs, Geert. $3 1000064828
776 0 8 $i Print version: $a Verbeke, Geert. $t Linear mixed models for longitudinal data. $d New York : Springer, �000 $z 0387982221 $z 0387950273 $w (DLC) 00026596 $w (OCoLC)43615499
830 0 $a Springer series in statistics. $3 1000064765
856 4 0 $3 EBSCOhost $u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=104522 $z Click here for online access to this book (查閱全文) (EBSCO eBook)
938 $a EBL - Ebook Library $b EBLB $n EBL219479
938 $a ebrary $b EBRY $n ebr10002182
938 $a EBSCOhost $b EBSC $n 104522
938 $a Ingram Digital eBook Collection $b IDEB $n 14568
938 $a YBP Library Services $b YANK $n 2296431