Michael A Ghebre
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  • MSc in Medical Statistics/ London School of Hygiene and Tropical Medicine/ University of London 
  • BSc in Statistics and Computer Science/ University of Asmara
Email: michael_gh07@yahoo.co.uk

MSc thesis

Change in Inflammatory and Haemostatic Markers of Cardiovascular Disease with Instantaneous Temperature and Season; Results from a Population-based Study of Older Caucasian Men in the UK (2010).

Publications

Michael A Ghebre, Deborah J Hart, Alan J Hakim ,Vicky Thompson, Nigel K Arden, Tim D Spector, Guangju Zhai, Association between DHEAS and bone loss in postmenopausal Caucasian women: A 15 years longitudinal population-based study. Calcif Tissue Int (2011) 89:295–302.

Ghebre MA, WannametheeSG, Rumley A, Whincup PH, Lowe GDO, Morris RW, Prospective study of Seasonal Patterns in Haemostatic Factors in older men and their relation to excess winter CHD deaths. J Thromb Haemost (2012).

                                     
                        Research Interest 

Clustered data
Longitudinal data
Multivariate data
Clinical trials
Survival analysis
Epidemiology (genetic and environmental)

Seasonal Health data
Missing data
Meta-Analysis
Bootstrapping
Bayesian Analysis

Categorical data


Interesting Statistics Websites

Free online courses on multilevel modeling (continuous and categorical outcomes) at university of Bristol using MLwiN and STATA

UCLA Statistical Computing;worked examples from different statistics books using SAS, R, STATA and SPSS
There is new center for Statistical Methodology at London School of Hygiene and Tropical Medicine

Here is good materials on missing data; REALCOM impute and STATA  perform multiple imputation using multi-level random-effects models
Here is interesting materials on meta-analysis
Here is quite good materials on Bootstrap Methods and Permutation Tests
NRICH  website publishes free mathematical enrichment material aimed at Key Stage 1 through to Key Stage 5 - problems, puzzles, games, investigations and articles

Interesting Statistics Blogs

Andrew Gelman blog; Statistical modeling, causal inference and social science
David Spiegelhalter blog
; understanding uncertainty
Observational Epidemiology
Christian Robert Blog


Blogs and online materials on R and STATA statistical packages

R

R is free statistical package; to download click here
Multiple imputation for multilevel data using MICE in R ; this is good starting point to impute missing values in multilevel data
R tutorials; basic but interesting for beginners
R blog

STATA

STATA is not free; to order or upgrade click here
STATAList ; excellent STATA archives, and can subscribe to get daily mail-list!
Here, by German Rodriguez at Princeton University, are good materials on how to use STATA; and here also materials on data analysis using STATA & R
Here is basic introduction to STATA

WinBUGS

WinBUGS is free package; to download click here 
To run WinBUGS from R, install R2WinBUGS in R


Recommended Statistics Books

Data Analysis Using Regression and Multilevel/Hierarchical Models by Andrew Gelman and Jennifer Hill; Excellent ever statistics book; R and WinBUGS, which are free packages, were used to model and analyze all the data in this book.  Highly recommended to have this book!!

Multilevel and Longitudinal Modeling Using Stata, Second Edition
by Sophia Rabe-Hesketh and  Anders Skrondal;excellent book on multilevel data analysis especially for STATA users

Statistical Issues in Drug Development second edition  by Stephen Senn; this is excellent book on statistical issues in clinical trials, especially for non-statisticians who work with statisticians

Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence by Judith D. Singer and John B. Willett; this is very good book for analysis and modeling longitudinal data. Here is worked examples from this book using several statistical packages.

Longitudinal Data Analysis by Donald Hedeker and  Robert D. Gibbons; this nice book for longitudinal data analysis, here is worked examples from this book using SAS statistical package. 
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