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Dr Edmund-Njeru Njagi

PhD

Assistant Professor
in Biostatistics

Room
253

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

Tel.
02079272091

I conduct biostatistical research and analysis in cancer epidemiology, and teach medical statistics and epidemiology. I organize the Analysis of Hierarchical and Other Dependent Data module in the MSc. in Medical Statistics.

Previously, I was Post-Doctoral Researcher and Lecturer in Biostatistics at the Interuniversity Institute for Biostatistics and statistical Bioinformatics of the University of Hasselt in Belgium.

My qualifications include a Doctor of Science in Mathematics, Biostatistics, and a Great Distinction Master of Statistics, Biostatistics, both from the University of Hasselt. I obtained a First Class Honours Bachelor of Science in Mathematics, Statistics, from the University of Nairobi in Kenya.

An experienced biostatistician, I have conducted extensive collaborative (bio)statistical work and consultancy in a wide range of substantive areas including chronic heart failure, chronic obstructive pulmonary disease, psychiatry, patient safety, HIV, food safety, social demography, and cancer. 

Affiliations

Faculty of Epidemiology and Population Health
Department of Non-communicable Disease Epidemiology

Teaching

Analysis of Hierarchical and Other Dependent Data

Generalized Linear Models

Intensive Course in Epidemiology and Medical Statistics

Statistics for Epidemiology and Population Health

Research

Statistical analysis methods in cancer survival analysis:

- Missing data analysis methods.

- Joint modelling of multivariate longitudinal and time-to-event data.

Research Area
Statistical methods
Modelling
Discipline
Epidemiology
Mathematics
Statistics
Disease and Health Conditions
Cancer
Non-communicable diseases

Selected Publications

Data Representativeness: Issues and Solutions
Milanzi, E., Njagi, En, Bruckers, L, Molenberghs, G.
European Food Safety Authority supporting publication
A flexible joint modeling framework for longitudinal and time-to-event data with overdispersion.
Njagi, E.N. ; Molenberghs, G. ; Rizopoulos, D. ; Verbeke, G. ; Kenward, M.G. ; Dendale, P. ; Willekens, K. ;
Stat Methods Med Res
Enriched data problems and essential non-identifiability.
Molenberghs, G; Njagi, EN; Kenward, MG; Verbeke, G;
International Journal of Statistics in Medical Research
See all Dr Edmund-Njeru Njagi's Publications