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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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Dynamic prediction of response to P
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Dynamic prediction of response to P
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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
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Dynamic prediction of response usin
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Dynamic prediction of response usin
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Dynamic prediction of response usin
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Dynamic prediction of response usin
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Dynamic prediction of response usin
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Table 1. Results of different stopp
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Dynamic prediction of response usin
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Dynamic prediction of response usin
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Chapter 2.5 106 ABSTRACT Peginterfe
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Chapter 2.5 108 and placebo daily.
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Chapter 2.5 110 for patients with a
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Chapter 2.5 112 Mean HBV DNA declin
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Chapter 2.5 114 peginterferon and n
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Chapter 2.5 116 hepatocellular carc
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Chapter 2.5 118 13. Werle-Lapostoll
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Chapter 2.5 120 Greece - G Germanid
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Chap ter 3.1 Long-term clinical out
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INTRODUCTION Glycyrrhizin for IFN-n
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Statistics Glycyrrhizin for IFN-non
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Glycyrrhizin for IFN-non responders
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Table 2. Time dependent Cox regress
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Glycyrrhizin for IFN-non responders
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Glycyrrhizin for IFN-non responders
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Cha pter 3.2 Discriminant analysis
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Introduction Discriminant analysis
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Discriminant analysis using a MLMM
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Estimation Discriminant analysis us
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Discriminant analysis using a MLMM
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where wi,k(y i, θ) = (k =1,...,K).
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Discriminant analysis using a MLMM
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Discriminant analysis using a MLMM
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Discriminant analysis using a MLMM
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Discriminant analysis using a MLMM
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Discriminant analysis using a MLMM
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Discriminant analysis using a MLMM
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- Page 171 and 172: Appendix Discriminant analysis usin
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- Page 186 and 187: Chapter 4.1 184 Figure 1. Viral dec
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- Page 195 and 196: INTRODUCTION Viral dynamics during
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- Page 215 and 216: HBV viral kinetics during PEG-IFN 2
- Page 217: HBV viral kinetics during PEG-IFN 2
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- Page 233 and 234: SUMMARY AND CONCLUSION Summary and
- Page 235 and 236: Summary and conclusion 233 The mode
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- Page 243 and 244: SAMENVATTING EN CONCLUSIE Samenvatt
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- Page 259 and 260: BIBLI OGRAPHY Bibliography 257 1. K
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Bibliography 267 106. Reijnders JG,