Meta Analysis of Prognostic Factor Studies Using Individual Data : A one-step or two-step approach

ISBN-13: 9783330651685 / Angielski / Miękka / 2017 / 296 str.

Ghada Abo-Zaid

Opis

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.

O autorze

Dr. Ghada Abo-Zaid is an assistant professor at Ain Shams University,Egypt. She had her Ph.D. at School of Mathematics-University of Birmingham,UK. Dr. Abo-Zaid has over 15 years' experience using quantitative research methods in different fields such as medical statistics, marketing,and social science. She had published over ten journal articles.