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Chap ter 2.3 Prediction of the response to peginterferon-alfa in patients with HBeAg positive chronic hepatitis B using HBV DNA decline during treatment Bettina E. Hansen 1, 2 , Erik H.C.J. Buster 1 , Ewout W. Steyerberg 3 , Emmanuel Lesaffre 2, 4 , Harry L.A. Janssen 1 Departments of 1 Gastroenterology and Hepatology, 2 Biostatistics, and 3 Public Health <strong>Erasmus</strong> MC University Medical Center, <strong>Rotterdam</strong>, the Netherlands, 4Department of L-Biostat, Catholic University of Leuven, Leuven,Belgium; Journal of Medical Virology 2010; 82:1135– 1142
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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
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 30 and 31: Chapter 2.1 28 ABSTRACT The aim of
Page 32 and 33: Chapter 2.1 30 been hepatitis B sur
Page 34 and 35: Chapter 2.1 32 HBV DNA decline The
Page 36 and 37: Chapter 2.1 34 Figure 2 continued.
Page 38 and 39: Chapter 2.1 36 Figure 4. Estimated
Page 40 and 41: Chapter 2.1 38 DNA was observed in
Page 42: Chapter 2.1 40 15. Kao JH. Role of
Page 46 and 47: Chapter 2.2 44 ABSTRACT Background:
Page 48 and 49: Chapter 2.2 46 low baseline HBV DNA
Page 50 and 51: Chapter 2.2 48 patient subgroups wa
Page 52 and 53: Chapter 2.2 50 p=0.002). Previous I
Page 54 and 55: Chapter 2.2 52 Application of the m
Page 56 and 57: Chapter 2.2 54 PEG-IFN, the proport
Page 58 and 59: Chapter 2.2 56 References 1. Lavanc
Page 60 and 61: Chapter 2.2 58 26. Bonino F, Lau GK
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
Page 78: Chapter 2.3 76 13. Robins JM, Herna
Page 82 and 83: Chapter 2.4 80 ABSTRACT Dynamic upd
Page 84 and 85: Chapter 2.4 82 prediction is necess
Page 86 and 87: Chapter 2.4 84 a. b. c. Figure 1.Th
Page 88 and 89: Chapter 2.4 86 suggested above a sm
Page 90 and 91: Chapter 2.4 88 Finally in the rando
Page 92 and 93: Chapter 2.4 90 more or less no chan
Page 94 and 95: Chapter 2.4 92 a. b. c. Figure 3. B
Page 96 and 97: Chapter 2.4 94 Figure 4. Dynamic pr
Page 98 and 99: Chapter 2.4 96 overall baseline pre
Page 100 and 101: Chapter 2.4 98 Finally some compari
Page 102 and 103: Chapter 2.4 100 mixed effect models
Page 104 and 105: Chapter 2.4 102 References 1. Janss
Page 107 and 108: Cha pter 2.5 Early on-treatment pre
Page 109 and 110: INTRODUCTION Early on-treatment pre
Page 111 and 112: Statistical analysis Early on-treat
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Early on-treatment prediction of re
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References Early on-treatment predi
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Cha pter 3 Statistical models of lo
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Chapter 3.1 126 ABSTRACT Background
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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
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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
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Chapter 3.2 164 effects correct the
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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
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Cha pter 4.1 Viral dynamics during
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INTRODUCTION Viral dynamics during
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V(t) = V 0 { A exp (-λ 1 t ) + (1-
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Table 2. Dynamic parameters during
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Figure 1. Viral dynamics during and
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Viral dynamics during and after ent
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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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