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Dr Edmund Njeru Njagi

PhD

Assistant Professor
in Biostatistics

Room
253

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

Tel.
02079272037

I conduct biostatistical research and analysis in cancer epidemiology, as well as teaching in medical statistics. I am organizer for the Advanced Statistical Modelling module on 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

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

Teaching

Advanced Statistical Modelling on the MSc. in Medical Statistics

Research

Statistical analysis methods in cancer epidemiology:

- Missing data analysis methods.

- Analysis of hierarchical data.

- 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

Pairwise joint modeling of clustered and high-dimensional outcomes with covariate missingness in pediatric pneumonia care.
Gachau S; Njagi EN; Molenberghs G; Owuor N; Sarguta R; English M; Ayieko P
2022
PHARMACEUTICAL STATISTICS
Handling missing data in a composite outcome with partially observed components: simulation study based on clustered paediatric routine data.
Gachau S; Njagi EN; Owuor N; Mwaniki P; Quartagno M; Sarguta R; English M; Ayieko P
2021
Journal of applied statistics
Improved longitudinal data analysis for cross-over design settings, with a piecewise linear mixed-effects model
Mwangi M; Verbeke G; Njagi EN; Mwalili S; Ivanova A; Bukania ZN; Molenberghs G
2021
Communications in Statistics: Case Studies, Data Analysis and Applications
Excess Mortality by Multimorbidity, Socioeconomic, and Healthcare Factors, amongst Patients Diagnosed with Diffuse Large B-Cell or Follicular Lymphoma in England.
Smith MJ; Belot A; Quartagno M; Luque Fernandez MA; Bonaventure A; Gachau S; Benitez Majano S; Rachet B; Njagi EN
2021
Cancers
Investigating the inequalities in route to diagnosis amongst patients with diffuse large B-cell or follicular lymphoma in England.
Smith MJ; Fernandez MAL; Belot A; Quartagno M; Bonaventure A; Majano SB; Rachet B; Njagi EN
2021
British journal of cancer
See more Publications