Mr Matthew Smith

BSc MSc GradStat AMIMA

Research Degree Student

of Biostatistics and Epidemiology

Room

G81

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

Tel.

020 7636 8636 ext.2495

In 2015, Matthew graduated in Mathematics and Statistics from Nottingham; in 2017, he completed a Masters in Medical Statistics at the London School of Hygiene and Tropical Medicine (LSHTM). Following this, in 2017, he was awarded the Cancer Research UK Studentship in Cancer Survival; carrying out his research as a Doctoral Student in Biostatistics within the Cancer Survival Group at the LSHTM.

For further information, please visit: -: CLEANED :- https://www.mattistician.com/ -: CLEANED :-

Affiliations

Department of Non-communicable Disease Epidemiology

Faculty of Epidemiology and Population Health

Centres

Centre for Global Chronic Conditions

Centre for Statistical Methodology

Teaching

Matthew is currently a seminar leader for the courses:

- Advanced Statistical Modelling;

- Robust Statistical Methods; and

- Statistical Methods in Epidemiology.

He is a seminar assistant for the short course "Cancer Survival: Principles, Methods and Applications".

Matthew sits on the Student Representive Council for the position of Vice President Doctoral Students.

Research

Matthew's main interests are in developing methodologies to investigate the inequalities in cancer survival, with a focus surrounding the effects of comorbidities on the survival of patients with non-Hodgkin lymphoma.

Research Area

Ageing

Health inequalities

Health outcomes

Health services research

Statistical methods

Health services

Discipline

Epidemiology

Mathematics

Statistics

Bioinformatics

Disease and Health Conditions

Cancer

Non-communicable diseases

Country

United Kingdom

Region

Euro area

European Union

Selected Publications

A tutorial on trial emulation in the presence of immortal-time bias. Assessing the benefit of major surgery for elderly lung cancer patients using observational data

Maringe C; Benitez Majano S; Exarchakou A; Smith M; Rachet B; Belot A; Leyrat C

2020

International Journal of Epidemiology

Reflections on modern methods: trial emulation in the presence of immortal-time bias. Assessing the benefit of major surgery for elderly lung cancer patients using observational data.

Maringe C; Benitez Majano S; Exarchakou A; Smith M; Rachet B; Belot A; Leyrat C

2020

Int J Epidemiol

Should major surgery be offered to elderly patients with early-stage lung cancer? An emulated trial using observational data in England

Maringe C; Leyrat C; Majano SB; Exarchakou A; Smith M; Rachet B; Belot A

2019

BRITISH JOURNAL OF CANCER

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