Peter Kimani

Associate Professor in Medical Statistics

University of Warwick

United Kingdom

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Peter Kimani is an Associate Professor in Medical Statistics at the University of Warwick, UK. His research areas encompass digital pathology, cellular pathology confidence factors, and the statistical evaluation of health technologies. Recently, he has contributed to studies on periprosthetic joint infections, liver disease, and health system impacts on patient outcomes. His work also includes systematic reviews and meta-analyses in the context of colorectal cancer detection.

Articles (13)

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2025

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2025

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2020

Collaborators (5)

Daniel Gallacher

Assistant Professor in Medical Statistics and Health Technology

University of Warwick

UNITED KINGDOM

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Krishna Persaud

Professor of Chemoreception

The University of Manchester

UNITED KINGDOM

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Nigel Stallard

UNITED KINGDOM

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Ayman Bannaga

Queen Elizabeth Hospital Birmingham

UNITED KINGDOM

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Megan Hitchins

Professor

UNITED STATES

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Peter Kimani

Research Interests

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About

Articles (13)

Variation within and between digital pathology and light microscopy for the diagnosis of histopathology slides: blinded crossover comparison study

What factors influence cellular pathologists’ confidence in case reporting?

DAIR for periprosthetic joint infections—One week to save the joint?

The Fatty Liver, Cirrhosis, and Liver Cancer Study (TENDENCY): Protocol for a Multicenter Case-Control Study

Adjusting for treatment selection in phase II/III clinical trials with time to event data

Kolkata-Coventry comparative registry study of acute heart failure: an insight into the impact of public, private and universal health systems on patient outcomes in low–middle income cities (KOLCOV HF Study)

Development of a model to demonstrate the impact of National Institute of Health and Care Excellence cost‐effectiveness assessment on health utility for targeted medicines

Biased Survival Predictions When Appraising Health Technologies in Heterogeneous Populations

Editorial: volatile organic compound analysis to improve faecal immunochemical testing in the detection of colorectal cancer—Authors' reply

Systematic review with meta‐analysis: volatile organic compound analysis to improve faecal immunochemical testing in the detection of colorectal cancer

Extrapolating Parametric Survival Models in Health Technology Assessment Using Model Averaging: A Simulation Study

Extrapolating Parametric Survival Models in Health Technology Assessment: A Simulation Study

Impact of COVID-19 on clinical outcomes for patients with fractured hip: a multicentre observational cohort study.

Collaborators (5)

Daniel Gallacher

Krishna Persaud

Nigel Stallard

Ayman Bannaga

Megan Hitchins

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