LEADER 05764nam 22007574a 450 001 9911020009603321 005 20251116151412.0 010 $a9786610447619 010 $a9781280447617 010 $a1280447613 010 $a9780470036488 010 $a0470036486 010 $a9780470036471 010 $a0470036478 035 $a(CKB)1000000000355769 035 $a(EBL)257031 035 $a(OCoLC)71626407 035 $a(SSID)ssj0000194112 035 $a(PQKBManifestationID)11188457 035 $a(PQKBTitleCode)TC0000194112 035 $a(PQKBWorkID)10231424 035 $a(PQKB)11619141 035 $a(MiAaPQ)EBC257031 035 $a(Perlego)2770879 035 $a(iGPub)WILEYB0009765 035 $a(EXLCZ)991000000000355769 100 $a20051219d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLongitudinal data analysis /$fDonald Hedeker, Robert D. Gibbons 210 $aHoboken, N.J. $cWiley-Interscience$dc2006 215 $a1 online resource (369 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 08$a9780471420279 311 08$a0471420271 320 $aIncludes bibliographical references (p. 313-334) and index. 327 $aLONGITUDINAL DATA ANALYSIS; CONTENTS; Preface; Acknowledgments; Acronyms; 1 Introduction; 1.1 Advantages of Longitudinal Studies; 1.2 Challenges of Longitudinal Data Analysis; 1.3 Some General Notation; 1.4 Data Layout; 1.5 Analysis Considerations; 1.6 General Approaches; 1.7 The Simplest Longitudinal Analysis; 1.7.1 Change Score Analysis; 1.7.2 Analysis of Covariance of Post-test Scores; 1.7.3 ANCOVA of Change Scores; 1.7.4 Example; 1.8 Summary; 2 ANOVA Approaches to Longitudinal Data; 2.1 Single-Sample Repeated Measures ANOVA; 2.1.1 Design; 2.1.2 Decomposing the Time Effect 327 $a2.1.2.1 Trend Analysis-Orthogonal Polynomial Contrasts2.1.2.2 Change Relative to Baseline-Reference Cell Contrasts; 2.1.2.3 Consecutive Time Comparisons-Profile Contrasts; 2.1.2.4 Contrasting Each Timepoint to the Mean of Subsequent Timepoints-Helmert Contrasts; 2.1.2.5 Contrasting Each Timepoint to the Mean of Others-Deviation Contrasts; 2.1.2.6 Multiple Comparisons; 2.2 Multiple-Sample Repeated Measures ANOVA; 2.2.1 Testing for Group by Time Interaction; 2.2.2 Testing for Subject Effect; 2.2.3 Contrasts for Time Effects; 2.2.3.1 Orthogonal Polynomial Partition of SS 327 $a2.2.4 Compound Symmetry and Sphericity2.2.4.1 Sphericity; 2.3 Illustration; 2.4 Summary; 3 MANOVA Approaches to Longitudinal Data; 3.1 Data Layout for ANOVA versus MANOVA; 3.2 MANOVA for Repeated Measurements; 3.2.1 Growth Curve Analysis-Polynomial Representation; 3.2.2 Extracting Univariate Repeated Measures ANOVA Results; 3.2.3 Multivariate Test of the Time Effect; 3.2.4 Tests of Specific Time Elements; 3.3 MANOVA of Repeated Measures-s Sample Case; 3.3.1 Extracting Univariate Repeated Measures ANOVA Results; 3.3.2 Multivariate Tests; 3.4 Illustration; 3.5 Summary 327 $a4 Mixed-Effects Regression Models for Continuous Outcomes4.1 Introduction; 4.2 A Simple Linear Regression Model; 4.3 Random Intercept MRM; 4.3.1 Incomplete Data Across Time; 4.3.2 Compound Symmetry and Intraclass Correlation; 4.3.3 Inference; 4.3.4 Psychiatric Dataset; 4.3.5 Random Intercept Model Example; 4.4 Random Intercept and Trend MRM; 4.4.1 Random Intercept and Trend Example; 4.4.2 Coding of Time; 4.4.2.1 Example; 4.4.3 Effect of Diagnosis on Time Trends; 4.5 Matrix Formulation; 4.5.1 Fit of Variance-Covariance Matrix; 4.5.2 Model with Time-Varying Covariates 327 $a4.5.2.1 Within and Between-Subjects Effects for Time-Varying Covariates4.5.2.2 Time Interactions with Time-Varying Covariates; 4.6 Estimation; 4.6.1 ML Bias in Estimation of Variance Parameters; 4.7 Summary; 5 Mixed-Effects Polynomial Regression Models; 5.1 Introduction; 5.2 Curvilinear Trend Model; 5.2.1 Curvilinear Trend Example; 5.3 Orthogonal Polynomials; 5.3.1 Model Representations; 5.3.2 Orthogonal Polynomial Trend Example; 5.3.3 Translating Parameters; 5.3.4 Higher-Order Polynomial Models; 5.3.5 Cubic Trend Example; 5.4 Summary; 6 Covariance Pattern Models; 6.1 Introduction 327 $a6.2 Covariance Pattern Models 330 $aLongitudinal data analysis for biomedical and behavioral sciencesThis innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data.Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroo 410 0$aWiley series in probability and statistics. 606 $aLongitudinal method 606 $aMedicine$xResearch$xStatistical methods 606 $aMedical sciences$xResearch$xStatistical methods 606 $aSocial sciences$xResearch$xStatistical methods 615 0$aLongitudinal method. 615 0$aMedicine$xResearch$xStatistical methods. 615 0$aMedical sciences$xResearch$xStatistical methods. 615 0$aSocial sciences$xResearch$xStatistical methods. 676 $a610.72/7 700 $aHedeker$b Donald R.$f1958-$01837379 701 $aGibbons$b Robert D.$f1955-$01837380 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911020009603321 996 $aLongitudinal data analysis$94416088 997 $aUNINA LEADER 03456oam 2200529zu 450 001 9910140127603321 005 20210807001151.0 010 $a2-35412-199-7 024 7 $a10.4000/books.pupvd.1946 035 $a(CKB)2560000000351964 035 $a(SSID)ssj0001306747 035 $a(PQKBManifestationID)12416768 035 $a(PQKBTitleCode)TC0001306747 035 $a(PQKBWorkID)11282383 035 $a(PQKB)10623695 035 $a(FrMaCLE)OB-pupvd-1946 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/45375 035 $a(PPN)182828166 035 $a(oapen)doab45375 035 $a(oapen)45375 035 $a(EXLCZ)992560000000351964 100 $a20160829d2000 uy 101 0 $afre 135 $auu||||||m|||| 181 $ctxt 182 $cc 183 $acr 200 13$aLe Dommage Concurrentiel 210 $cPresses universitaires de Perpignan$d2000 210 31$a[Place of publication not identified]$cPresses universitaires de Perpignan$d2000 215 $a1 online resource (382 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a2-908912-94-5 330 $aPour le profane comme pour le juriste le sujet de cette étude évoque le mariage d'une figure familière du vocabulaire juridique, le dommage, avec une notion économique et juridique, la concurrence, qui à défaut d'être parfaitement connue n'en est pas moins entrée dans le langage courant. Cependant, sitôt cette intuition commune dissipée, si le profane risque d'être dérouté par le contenu du tableau, le juriste, espérons-le, y trouvera son compte. L'étude est un triptyque. Le premier volet est consacré, d'une part, à l'examen du domaine du dommage concurrentiel au travers du prisme de l'ensemble des règles législatives et jurisprudentielles qui envisagent, principalement ou incidemment, la notion de dommage concurrentiel dans ses deux acceptions d'atteinte à la concurrence et d'atteinte aux concurrents et, d'autre part, à l'analyse du champ concurrentiel. Le panneau central tente de montrer que si le préjudice concurrentiel est un élément second de la responsabilité concurrentielle, en revanche, l'atteinte au processus concurrentiel représente un élément essentiel de la qualification délictueuse de l'ensemble des comportements de marché. Ainsi, la preuve de ce dommage au processus concurrentiel, qui dans le domaine des pratiques anticoncurrentielles fonde les délits d'ententes illicites et d'abus de position dominante, semble aussi pertinente dans la qualification des autres comportements délictuels de marché que le droit de la concurrence appréhende sous les noms de pratiques restrictives de concurrence, de pratiques déloyales, ou d'agissements parasitaires. Le seconde volet, consacré aux sanctions, referme l'étude sur la confirmation de l'identité de vue qui irrigue l'ensemble des sanctions du dommage concurrentiel, lesquelles cherchent avant tout à rétablir et à sauvegarder le mécanisme concurrentiel. 606 $aLaw$2bicssc 610 $adroit de la concurrence 610 $aconcurrence 610 $adommage concurrentiel 610 $adroit privé 615 7$aLaw 700 $aDorandeu$b Nicolas$0892511 712 02$aCentre de droit de la concurrence Perpignan Staff 801 0$bPQKB 906 $aBOOK 912 $a9910140127603321 996 $aLe Dommage Concurrentiel$91993517 997 $aUNINA