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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

Comorbidity prevalence among cancer patients: a population-based cohort study of four cancers.
Fowler H; Belot A; Ellis L; Maringe C; Luque-Fernandez MA; Njagi EN; Navani N; Sarfati D; Rachet B
2020
BMC cancer
Handling missing data in modelling quality of clinician-prescribed routine care: Sensitivity analysis of departure from missing at random assumption.
Gachau S; Quartagno M; Njagi EN; Owuor N; English M; Ayieko P
2020
Statistical methods in medical research
Random effects models for estimation of the probability and time to progression of a continuous biomarker.
Reddy T; Molenberghs G; Bruckers L; Njagi EN; Aerts M; Willem Schurink G
2019
Pharmaceutical statistics
Association between age, deprivation and specific comorbid conditions and the receipt of major surgery in patients with non-small cell lung cancer in England: A population-based study.
Belot A; Fowler H; Njagi EN; Luque-Fernandez M-A; Maringe C; Magadi W; Exarchakou A; Quaresma M; Turculet A; Peake MD
2018
Thorax
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