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Cha pter 3.2 Discriminant analysis using a multivariate linear mixed model with a normal mixture in the random effects distribution Arnošt Komárek 1 , Bettina E. Hansen 2,3 , Edith M. M. Kuiper 3 , Henk R. van Buuren 3 , Emmanuel Lesaffre 2,4 Departments of 1 Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic, 2Biostatistics, 3 Gastroenterology and Hepatology, Erasmus MC University Medical Center, Rotterdam, the Netherlands and 4 Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Katholieke Universiteit Leuven and Universiteit Hasselt, Belgium Statistics in Medicine, in press
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Statistical Models of Treatment Eff
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ISBN: 978-90-8559-069-9 © Bettina
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PROMOTIECOMMISSIE Promotor: Prof.dr
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CONTENTS Chapter 1. Introduction 11
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Cha pter 1 Introduction
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Chapter 1 14 Epidemiology Worldwide
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Chapter 1 16 Prediction models with
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Chapter 1 18 standard method fails
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Chapter 1 20 The extended non-linea
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Chapter 1 22 References 1. Blumberg
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Cha pter 2 Prediction of response t
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Chapter 2.1 28 ABSTRACT The aim of
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Chapter 2.1 30 been hepatitis B sur
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Chapter 2.1 32 HBV DNA decline The
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Chapter 2.1 34 Figure 2 continued.
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Chapter 2.1 36 Figure 4. Estimated
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Chapter 2.1 38 DNA was observed in
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Chapter 2.1 40 15. Kao JH. Role of
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Chapter 2.2 44 ABSTRACT Background:
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Chapter 2.2 46 low baseline HBV DNA
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Chapter 2.2 48 patient subgroups wa
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Chapter 2.2 50 p=0.002). Previous I
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Chapter 2.2 52 Application of the m
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Chapter 2.2 54 PEG-IFN, the proport
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Chapter 2.2 56 References 1. Lavanc
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Chapter 2.2 58 26. Bonino F, Lau GK
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Chap ter 2.3 Prediction of the resp
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INTRODUCTION Dynamic prediction of
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Statistical analysis Dynamic predic
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Dynamic prediction of response to P
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References Dynamic prediction of re
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Cha pter 2.4 Dynamic prediction of
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INTRODUCTION Dynamic prediction of
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For the indirect approach we rewrit
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logit pi,j = logit Pr(Ri =1|visit =
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Dynamic prediction of response usin
Page 91 and 92: Dynamic prediction of response usin
Page 101 and 102: Table 1. Results of different stopp
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Page 108 and 109: Chapter 2.5 106 ABSTRACT Peginterfe
Page 110 and 111: Chapter 2.5 108 and placebo daily.
Page 112 and 113: Chapter 2.5 110 for patients with a
Page 114 and 115: Chapter 2.5 112 Mean HBV DNA declin
Page 116 and 117: Chapter 2.5 114 peginterferon and n
Page 118 and 119: Chapter 2.5 116 hepatocellular carc
Page 120 and 121: Chapter 2.5 118 13. Werle-Lapostoll
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Page 127 and 128: Chap ter 3.1 Long-term clinical out
Page 129 and 130: INTRODUCTION Glycyrrhizin for IFN-n
Page 131 and 132: Statistics Glycyrrhizin for IFN-non
Page 133 and 134: Glycyrrhizin for IFN-non responders
Page 135 and 136: Table 2. Time dependent Cox regress
Page 144 and 145: Chapter 3.2 142 Abstract We have de
Page 146 and 147: Chapter 3.2 144 multiple markers wa
Page 148 and 149: Chapter 3.2 146 The correlation bet
Page 150 and 151: Chapter 3.2 148 for our MLMM is fac
Page 152 and 153: Chapter 3.2 150 X and Z matrices fr
Page 154 and 155: Chapter 3.2 152 For each g =0,...,G
Page 156 and 157: Chapter 3.2 154 Focus of marginal,
Page 158 and 159: Chapter 3.2 156 Figure 1. Dutch PBC
Page 160 and 161: Chapter 3.2 158 Table 2. Dutch PBC
Page 166 and 167: Chapter 3.2 164 effects correct the
Page 168 and 169: Chapter 3.2 166 References 1. Kuipe
Page 170 and 171: Chapter 3.2 168 32. Tsiatis AA, Dav
Page 172: Chapter 3.2 170 Table 4. Structure
Page 177 and 178: Cha pter 4.1 Viral dynamics during
Page 179 and 180: INTRODUCTION Viral dynamics during
Page 181 and 182: V(t) = V 0 { A exp (-λ 1 t ) + (1-
Page 183 and 184: Table 2. Dynamic parameters during
Page 185 and 186: Figure 1. Viral dynamics during and
Page 187 and 188: Viral dynamics during and after ent
Page 189 and 190: References Viral dynamics during an
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Viral dynamics during and after ent
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Chapter 4.2 192 ABSTRACT Tenofovir,
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Chapter 4.2 194 PATIENTS AND METHOD
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Chapter 4.2 196 2 Slow: decline bet
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Chapter 4.2 198 Table 2. Parameter
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Chapter 4.2 200 9.0 8.0 7.0 6.0 5.0
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Chapter 4.2 202 release. Although w
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Chapter 4.2 204 References 1. Perri
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Chapter 4.2 206 29. Lewin SR, Ribei
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Chapter 4.3 210 ABSTRACT Treatment
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Chapter 4.3 212 HBV DNA quantifi ca
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Chapter 4.3 214 The resulting model
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Chapter 4.3 216 Figure 1. Median HB
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Chapter 4.3 218 Table 2: Pharmacoki
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Chapter 4.3 220 Figure 3. effects r
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Chapter 4.3 222 13-14 This model ta
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Chapter 4.3 224 References 1. Kane
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Chapter 4.3 226 25. Wolters LM, Han
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Cha pter 5 Summary and conclusion
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Summary and conclusion 232 Therapy
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Summary and conclusion 234 who deve
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Summary and conclusion 236 fi t mod
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Cha pter 6 Samenvatting en conclusi
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Samenvatting en conclusie 242 posit
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Samenvatting en conclusie 244 De ve
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Samenvatting en conclusie 246 en na
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Samenvatting en conclusie 248 In ee
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DANKWOORD Dankwoord 253 Met oplucht
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CUR RICULUM VITAE Curriculum Vitae
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Bibliography 258 Mechanical factors
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Bibliography 260 35. Wolters LM, Ha
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Bibliography 262 Volume Measurement
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Bibliography 264 Quantitative HBV D
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Bibliography 266 to Peginterferon-a
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ISBN: 978-90-8559-069-9
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