Bradley Manktelow

Professor of Medical Statistics

University of Leicester

United Kingdom

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Professor Bradley Manktelow is a faculty member in the Department of Medical Statistics at the University of Leicester, UK. His research primarily focuses on neonatal outcomes and the implications of frailty in hospital settings, as evidenced by his recent publications on preterm birth and hospital-related adverse events. He is dedicated to improving statistical methodologies and data collection practices in cohort studies, contributing significantly to the field of medical statistics.

Articles (16)

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2025

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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

Collaborators (12)

Sarah Seaton

University of Leicester

UNITED KINGDOM

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Natalie Armstrong

Professor of Healthcare Improvement Research

University of Leicester

UNITED KINGDOM

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Caroline Cupit

University of Oxford

UNITED KINGDOM

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Oliver Rivero-Arias

University of Oxford

UNITED KINGDOM

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Vicki J. Flenady

AUSTRALIA

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Laith Hussain-Alkhateeb

Associate Professor (University Lecturer in Global Public Health)

University of Gothenburg

SWEDEN

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Alexander Manu

Associate Professor

UNITED KINGDOM

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Sarka Lisonkova

CANADA

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Rachael Wood

The University of Edinburgh

UNITED KINGDOM

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Alexis Paton

Aston University

UNITED KINGDOM

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Estelle Lowry

The Queen's University Belfast

UNITED KINGDOM

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Lucy Smith

Professor

University of Leicester

UNITED KINGDOM

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Bradley Manktelow

Research Interests

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About

Articles (16)

Optimising neonatal services for very preterm births between 27+0 and 31+6 weeks gestation in England: the OPTI-PREM mixed-methods study

Improving outcomes for very preterm babies in England: does place of birth matter? Findings from OPTI-PREM, a national cohort study

Association between frailty and hospital-related adverse events in older hospitalised patients: a systematic literature review protocol

The association between frailty and hospital-related adverse events in older hospitalised patients: a systematic literature review

Recommendations for data collection in cohort studies of preterm born individuals – The RECAP Preterm Core Dataset

Stillbirth risk by fetal size among 126.5 million births in 15 countries from 2000 to 2020: A fetuses-at-risk approach

Clinical outcomes for babies born between 27 – 31 weeks of gestation: Should they be regarded as a single cohort?

Estimated neonatal survival of very preterm births across the care pathway: a UK cohort 2016-2020

Neonatal mortality risk for vulnerable newborn types in 15 countries using 125.5 million nationwide birth outcome records, 2000–2020

Small babies, big risks: global estimates of prevalence and mortality for vulnerable newborns to accelerate change and improve counting

Vulnerable newborn types: Analysis of population-based registries for 165 million births in 23 countries, 2000–2021

Development of a data classification system for preterm birth cohort studies: the RECAP Preterm project

Methods for Constructing Normalised Reference Scores: An Application for Assessing Child Development at 24 Months of Age

Understanding ethnic inequalities in stillbirth rates: A UK population-based cohort study

Managing mother’s own milk for very preterm infants in neonatal units in 11 European countries

Strategies for assessing the impact of loss to follow-up on estimates of neurodevelopmental impairment in a very preterm cohort at 2 years of age

Collaborators (12)

Sarah Seaton

Natalie Armstrong

Caroline Cupit

Oliver Rivero-Arias

Vicki J. Flenady

Laith Hussain-Alkhateeb

Alexander Manu

Sarka Lisonkova

Rachael Wood

Alexis Paton

Estelle Lowry

Lucy Smith

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