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Annexes 220Figure 1 : (A) Predicted mean evolutions of the latent cognitive level with age according togender for a non smoking subject with a low educational level and any antecedent of stroke ordiabetes (with the 95% confidence bands (CB)) (B) predicted mean evolutions of the MMSE,IST15, BVRT and DSST according to gender for a non smoking subject with a loweducational level and any antecedent of stroke or diabetes.22
Annexes 221Figure 2 : (A) Predicted mean evolutions of the latent cognitive level with age according tothe educational level (EL) for a non smoking women without any antecedent of stroke ordiabetes (with the 95% confidence bands (CB)) (B) predicted mean evolutions of the MMSE,IST15, BVRT and DSST according to the educational level for a non smoking womenwithout no antecedent of stroke or diabetes.23
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Université Victor Segalen Bordeaux
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3RemerciementsA Monsieur Jean-Louis
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5Un immense merci à tous ceux que
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7A Delphine et ses mille et une his
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TABLE DES MATIÈRES 92.3.2 Estimati
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TABLE DES MATIÈRES 116.3.1 Adéqua
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Introduction 13ans atteintes d’un
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Introduction 15Mais, pour l’insta
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Introduction 171.2 Problèmes méth
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Introduction 191.2.3 Association en
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Introduction 21QUID suggère que le
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Chapitre 2Etat des connaissancesCe
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Etat des connaissances 25Plusieurs
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Etat des connaissances 27Prise en c
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Etat des connaissances 29Extensions
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Etat des connaissances 31données s
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Etat des connaissances 33variables
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Etat des connaissances 35(2000) ne
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Etat des connaissances 372.3 Modél
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Etat des connaissances 39chapitre 3
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Etat des connaissances 41de mélang
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Etat des connaissances 43Hawkins et
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Etat des connaissances 45tique de d
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Etat des connaissances 47L’estima
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Etat des connaissances 49normales s
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Etat des connaissances 512.4 Modél
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Etat des connaissances 53en tant qu
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Etat des connaissances 55interactio
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Etat des connaissances 57décrite p
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Etat des connaissances 59entre l’
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Etat des connaissances 612.4.3 Cas
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Etat des connaissances 63l’inform
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Modèle nonlinéaire à processus l
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Chapitre 4Modèle nonlinéaire à c
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Modèle nonlinéaire à classes lat
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Chapitre 6Discussion et perspective
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Discussion et perspectives 151la pr
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Discussion et perspectives 153Varia
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Discussion et perspectives 1556.2 M
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Discussion et perspectives 157à cl
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Discussion et perspectives 160effet
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Discussion et perspectives 162Dans
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Chapitre 7BibliographieAmieva, H.,
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Bibliographie 1661, S19-25.Brown, E
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Bibliographie 168Sons, New-York.Fol
Page 170 and 171: Bibliographie 170Hogan, J. W. et La
Page 172 and 173: Bibliographie 172Lin, H., McCulloch
Page 174 and 175: Bibliographie 174Park, CA.Muthén,
Page 176 and 177: Bibliographie 176Schlattmann, P. (2
Page 178 and 179: Bibliographie 178in the random-effe
Page 180 and 181: Chapitre 8Annexes8.1 Liste des publ
Page 182 and 183: Annexes 182Pau (France)Communicatio
Page 184 and 185: Annexes 184166 C. Proust, H. Jacqmi
Page 192 and 193: AnnexesAmerican Journal of Epidemio
Page 194 and 195: Annexes 194Psychometric Tests’ Se
Page 200 and 201: Annexes 200Abstract :When investiga
Page 202 and 203: Annexes 202educated subjects. This
Page 204 and 205: Annexes 204(iii) the recognition fo
Page 206 and 207: Annexes 206Explanatory variablesIn
Page 208 and 209: Annexes 208IST15 (median=28, IQR=24
Page 210 and 211: Annexes 210and on the mean evolutio
Page 212 and 213: Annexes 212These findings should be
Page 214 and 215: Annexes 214Appendix : model specifi
Page 216 and 217: Annexes 216References[1] Amieva H,
Page 218 and 219: Annexes 218[19] Letenneur L, Commen
Page 222 and 223: Annexes 222Table 1: demographic and
Page 224: Annexes 224MMSE 0.0037 * 0.0013,0.0
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