Phillip Gichuru

Senior Research Assistant

Faculty of Health and Wellbeing

Brook Building, BB426

+44 (0) 1772 89 5582

Phillip Gichuru is a Senior Research Assistant at the Lancashire Clinical Trials Unit (LCTU) and provides statistical consultancy support for specific projects run through the LCTU under the supervision of the lead statistician. This is in form of carrying out biostatistical work for the various projects as well as to support the development and delivery of learning materials for various courses offered to health professionals of four NHS trusts e.g. an ‘Understanding Statistics in Papers’ course. He is currently completing his PhD in Social Statistics at Lancaster University.

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Phillip joined UCLan in November 2016, having previously worked at the University of Oxford’s Centre for Statistics in Medicine (CSM) as a Medical Statistician, providing statistical support to the NHS team. Prior to that, he worked at the Liverpool School of Tropical Medicine (LSTM) in a similar capacity on the GAVI (Global Alliance for Vaccines and Immunization) project on the evaluation of immunization coverage monitoring methodology and process. His main role was to evaluate and explain the causes of bias of reported estimates by the different stake holders and recommend better practice. Other tasks included the statistical support of various LSTM’s research groups.

He undertook 2 Masters degrees at University of Hasselt in Belgium: an MSc in Applied Statistics and an MSc in Biostatistics. Both his Masters theses involved evaluation of the accuracy of diagnostic tests and classifiers (models) in the absence of a gold standard.  After graduating from the University of Nairobi in Kenya with a BSc in Statistics, he worked as a statistician assisting doctors at the Kenyatta National Hospital (Nairobi) and the Aga Khan University (Nairobi), supporting their various projects. As an intern as a Data processing and analysis assistant at Synovate Research Services in Kenya (formally Steadman Research Services), he assisted in delivery of the statistical work package for the project “Primary School Action for Better Health (PSABH-IV)” and its sequels that was commissioned by the DFID (Department for International Development, UK).

Currently, Phillip is completing his PhD at Lancaster University, UK. His research project is on developing robust statistical scoring methods for use in Child assessment tools by developing a framework of correcting for various covariates especially age that is known to be a predictor of development. On a part-time basis, he assisted in teaching various Masters classes at the Lancaster University Maths and Statistics department. He also carried out statistical analysis on various consultancy projects both at the Lancaster University Maths and Statistics department, LSTM as well as advice on statistical components of various research bids for the Research Design Service North West UK (RDS NW). He undertook a 3 month fellowship at the Library of Congress in Washington D.C., U.S.A. This was to carry out both a literature and systematic review to complement his current PhD research at Lancaster University.

Phillip has held various volunteer responsibilities at North-West Lancashire Citizens Advice Bureau (CAB) on a part time basis. He was actively involved in the data processing and statistical analysis of their 2014 Health and Well Being Survey. On a part time basis, he occasionally assists in the running of educational workshops for local primary schools at The Fig Tree Fair Trade Visitor Centre and Café in Lancaster.


2011- Present: PhD in Social Statistics at Lancaster University, UK.
2006-2008: M.Sc. in Biostatistics, University of Hasselt, Belgium.
2005-2006: M.Sc. in Applied Statistics, University of Hasselt, Belgium.
2000-2004: B.Sc. Statistics, Nairobi University, Kenya.
1999-1999: Diploma in Business computing & Information Systems (IMIS, UK), Strathmore University, Kenya.



REWARD – Performance based Innovation Rewards


Royal Statistical Society (RSS, UK) - Graduate member

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2016: The use of more robust and flexible statistical methods to produce child ability normative scores.
Invited talk at the Royal Statistical Society (RSS) medical section meeting to honour of Professor Tim Cole’s work in child growth reference curves.    

2014: Methodological issues of concern of classical total scoring methods and evaluation of performance of proposed scoring extensions.
Poster presentation at the 2014 International Conference of the Royal Statistical Society (RSS) in Sheffield, UK.

2014: Developing Robust Scoring Methods for use in Child Assessment Tools.
Conference talk at the 35th Annual Conference of the International Society for Clinical Biostatistics in Vienna, Austria.

Poster presentation at 29th International Workshop on Statistical Modelling in Göttingen, Germany.


2013: Statistical issues in adapting, translating child development assessment tools.
Conference talk and poster presentation at the Research Students' Conference (RSC) in Probability, and Social Statistics- Lancaster University.

2012: A Systematic review of methodological issues in Adaptation, Translation, Scoring and Development of ‘norms’ of Child Development Assessment Tools.
Work in progress forum: Library of Congress in Washington D.C., U.S.A.

2010: Nonparametric estimation of ROC curves based on Bayesian models when the true disease status is unknown.

2010   Focused boosting (reweighting) to improve diagnostic classifiers.
Poster presentations at the second (2010) International Symposium on methods for evaluating Medical Tests and Biomarkers, Birmingham University UK.