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Anglický jazyk
Meta Analysis of Prognostic Factor Studies Using Individual Data
Autor: Ghada Abo-Zaid
In this book, I investigate statistical issues and develop methodological recommendations for individual patient data meta-analysis of prognostic factor studies projects. I undertook an empirical study to compare between the individual patient data (IPD)and... Viac o knihe
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O knihe
In this book, I investigate statistical issues and develop methodological recommendations for individual patient data meta-analysis of prognostic factor studies projects. I undertook an empirical study to compare between the individual patient data (IPD)and aggregated data approach to assess PFs in breast cancer. I showed that the IPD approach is preferable over aggregated data. I developed eleven IPD meta-analysis models to investigate whether accounting for clustering of patients within studies should be undertaken and which approach is the best to use. The models differed by using either a one-step or two-step approach, and whether they accounted for parameter correlation and residual variation. In addition, I developed three non-linear fractional polynomial IPD meta-analysis models based on whether one-step or two-step approach and whether first or second order fractional polynomial functions are performed.
- Vydavateľstvo: Scholars' Press
- Rok vydania: 2017
- Formát: Paperback
- Rozmer: 220 x 150 mm
- Jazyk: Anglický jazyk
- ISBN: 9783330651685
