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Chap ter 2.1 HBV DNA suppression in HBeAg-positive chronic hepatitis B patients treated with peginterferon or placebo Bettina E. Hansen 1,2 , Vincent Rijckborst 1 , Martijn J. ter Borg 1 , Harry L.A. Janssen 1 Departments of 1 Gastroenterology and Hepatology, and 2 Biostatistics, <strong>Erasmus</strong> MC University Medical Center, <strong>Rotterdam</strong>, the Netherlands Submitted
Page 1: Statistical Models of Treatment Eff
Page 4 and 5: ISBN: 978-90-8559-069-9 © Bettina
Page 6 and 7: PROMOTIECOMMISSIE Promotor: Prof.dr
Page 9 and 10: CONTENTS Chapter 1. Introduction 11
Page 13: Cha pter 1 Introduction
Page 16 and 17: Chapter 1 14 Epidemiology Worldwide
Page 18 and 19: Chapter 1 16 Prediction models with
Page 20 and 21: Chapter 1 18 standard method fails
Page 22 and 23: Chapter 1 20 The extended non-linea
Page 24 and 25: Chapter 1 22 References 1. Blumberg
Page 27: Cha pter 2 Prediction of response t
Page 31 and 32: INTRODUCTION PEG-IFN versus placebo
Page 33 and 34: PEG-IFN versus placebo for HBeAg-po
Page 35 and 36: Figure 2 PEG-IFN versus placebo for
Page 41 and 42: References 1. Liaw YF, Chu CM. Hepa
Page 45 and 46: Cha pter 2.2 Factors that predict r
Page 47 and 48: INTRODUCTION Factors that predict r
Page 49 and 50: Factors that predict response to PE
Page 51 and 52: Table 1. Baseline characteristics a
Page 53 and 54: ��
Page 61: Factors that predict response to PE
Page 64 and 65: Chapter 2.3 62 ABSTRACT Peginterfer
Page 66 and 67: Chapter 2.3 64 only provides the be
Page 68 and 69: Chapter 2.3 66 optimal cut-off poin
Page 70 and 71: Chapter 2.3 68 Table 2. Logistic re
Page 72 and 73: Chapter 2.3 70 and p=0.056 for the
Page 74 and 75: Chapter 2.3 72 DISCUSSION Recently
Page 76 and 77: Chapter 2.3 74 Taqman PCR. A reliab
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Chapter 2.3 76 13. Robins JM, Herna
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Chapter 2.4 80 ABSTRACT Dynamic upd
Page 84 and 85:
Chapter 2.4 82 prediction is necess
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Chapter 2.4 84 a. b. c. Figure 1.Th
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Chapter 2.4 86 suggested above a sm
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Chapter 2.4 88 Finally in the rando
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Chapter 2.4 90 more or less no chan
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Chapter 2.4 92 a. b. c. Figure 3. B
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Chapter 2.4 94 Figure 4. Dynamic pr
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Chapter 2.4 96 overall baseline pre
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Chapter 2.4 98 Finally some compari
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Chapter 2.4 100 mixed effect models
Page 104 and 105:
Chapter 2.4 102 References 1. Janss
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Cha pter 2.5 Early on-treatment pre
Page 109 and 110:
INTRODUCTION Early on-treatment pre
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Statistical analysis Early on-treat
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Early on-treatment prediction of re
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Page 117 and 118:
Page 119 and 120:
References Early on-treatment predi
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Page 125:
Cha pter 3 Statistical models of lo
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Chapter 3.1 126 ABSTRACT Background
Page 130 and 131:
Chapter 3.1 128 METHODS Study desig
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Chapter 3.1 130 the presence of a c
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Chapter 3.1 132 ure 2 30 >3 x ULN 2
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Chapter 3.1 134 DISCUSSION The aim
Page 138 and 139:
Chapter 3.1 136 References 1. Poyna
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Chapter 3.1 138 U i = Time to failu
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Chapter 3.2 142 Abstract We have de
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Chapter 3.2 144 multiple markers wa
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Chapter 3.2 146 The correlation bet
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Chapter 3.2 148 for our MLMM is fac
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Chapter 3.2 150 X and Z matrices fr
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Chapter 3.2 152 For each g =0,...,G
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Chapter 3.2 154 Focus of marginal,
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Chapter 3.2 156 Figure 1. Dutch PBC
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Chapter 3.2 158 Table 2. Dutch PBC
Page 162 and 163:
Page 164 and 165:
Page 166 and 167:
Chapter 3.2 164 effects correct the
Page 168 and 169:
Chapter 3.2 166 References 1. Kuipe
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Chapter 3.2 168 32. Tsiatis AA, Dav
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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
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Viral dynamics during and after ent
Page 189 and 190:
References Viral dynamics during an
Page 191:
Viral dynamics during and after ent
Page 194 and 195:
Chapter 4.2 192 ABSTRACT Tenofovir,
Page 196 and 197:
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
Page 224 and 225:
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
Page 241:
Cha pter 6 Samenvatting en conclusi
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Samenvatting en conclusie 242 posit
Page 246 and 247:
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
Page 255 and 256:
DANKWOORD Dankwoord 253 Met oplucht
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CUR RICULUM VITAE Curriculum Vitae
Page 260 and 261:
Bibliography 258 Mechanical factors
Page 262 and 263:
Bibliography 260 35. Wolters LM, Ha
Page 264 and 265:
Bibliography 262 Volume Measurement
Page 266 and 267:
Bibliography 264 Quantitative HBV D
Page 268 and 269:
Bibliography 266 to Peginterferon-a
Page 272:
ISBN: 978-90-8559-069-9
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