david spiegelhalter

david spiegelhalter

University of Cambridge

H-index: 124

Europe-United Kingdom

About david spiegelhalter

david spiegelhalter, With an exceptional h-index of 124 and a recent h-index of 63 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of statistics, biostatistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

FUNNELINST: Stata module to generate funnel plots for comparing institutional performance

Modelling hepatitis C infection acquired from blood transfusions in the UK between 1970 and 1991 for the Infected Blood Inquiry

A arte da estatística: Como aprender a partir de dados

The effects of communicating scientific uncertainty on trust and decision making in a public health context

Risk perceptions of COVID-19 around the world

Discussion of Presidential address: Statistics in times of increasing uncertainty by Sylvia Richardson

Redevelopment of the Predict: Breast Cancer website and recommendations for developing interfaces to support decision‐making

Sound human, steer clear of jargon, and be prepared

david spiegelhalter Information

University

Position

___

Citations(all)

150411

Citations(since 2020)

31737

Cited By

115465

hIndex(all)

124

hIndex(since 2020)

63

i10Index(all)

334

i10Index(since 2020)

176

Email

University Profile Page

University of Cambridge

Google Scholar

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david spiegelhalter Skills & Research Interests

statistics

biostatistics

Top articles of david spiegelhalter

Title

Journal

Author(s)

Publication Date

FUNNELINST: Stata module to generate funnel plots for comparing institutional performance

Ariel Linden

David J Spiegelhalter

2024/2/3

Modelling hepatitis C infection acquired from blood transfusions in the UK between 1970 and 1991 for the Infected Blood Inquiry

medRxiv

Sarah Hayes

Ruth McCabe

Daniela De Angelis

Christl A Donnelly

Stephen JW Evans

...

2023

A arte da estatística: Como aprender a partir de dados

David Spiegelhalter

2022/8/15

The effects of communicating scientific uncertainty on trust and decision making in a public health context

Judgment and Decision Making

Claudia R Schneider

Alexandra LJ Freeman

David Spiegelhalter

Sander van der Linden

2022/7

Risk perceptions of COVID-19 around the world

Sarah Dryhurst

Claudia R Schneider

John Kerr

Alexandra LJ Freeman

Gabriel Recchia

...

2022/11/28

Discussion of Presidential address: Statistics in times of increasing uncertainty by Sylvia Richardson

Journal of the Royal Statistical Society Series A: Statistics in Society

David Spiegelhalter

2022/10

Redevelopment of the Predict: Breast Cancer website and recommendations for developing interfaces to support decision‐making

Cancer Medicine

George D Farmer

Mike Pearson

William J Skylark

Alexandra LJ Freeman

David J Spiegelhalter

2021/8

Sound human, steer clear of jargon, and be prepared

Significance (Oxford, England)

Kevin McConway

David Spiegelhalter

2021/4

What is my covid risk?

bmj

Samuel Finnikin

David J Spiegelhalter

2021/3/16

Factors associated with deaths due to COVID-19 versus other causes: population-based cohort analysis of UK primary care data and linked national death registrations within the …

The Lancet Regional Health–Europe

Krishnan Bhaskaran

Sebastian Bacon

Stephen JW Evans

Chris J Bates

Christopher T Rentsch

...

2021/7/1

The adverse effects of bisphosphonates in breast cancer: A systematic review and network meta-analysis

Christopher Jackson

Alexandra LJ Freeman

Zśofia Szlamka

David J Spiegelhalter

2021/2/5

Expert elicitation on the relative importance of possible SARS-CoV-2 transmission routes and the effectiveness of mitigations

BMJ open

Alexandra LJ Freeman

Simon Parker

Catherine Noakes

Shaun Fitzgerald

Alexandra Smyth

...

2021/12/1

How well did experts and laypeople forecast the size of the COVID-19 pandemic?

PloS one

Gabriel Recchia

Alexandra LJ Freeman

David Spiegelhalter

2021/5/5

The effects of quality of evidence communication on perception of public health information about COVID-19: Two randomised controlled trials

PLoS One

Claudia R Schneider

Alexandra LJ Freeman

David Spiegelhalter

Sander van der Linden

2021/11/17

COVID-19 risk perception: a longitudinal analysis of its predictors and associations with health protective behaviours in the United Kingdom

Journal of Risk Research

Claudia R Schneider

Sarah Dryhurst

John Kerr

Alexandra LJ Freeman

Gabriel Recchia

...

2021/4/22

Covid by numbers: making sense of the pandemic with data

David Spiegelhalter

Anthony Masters

2021/10/7

Communicating personalized risks from COVID-19: guidelines from an empirical study

Royal Society open science

Alexandra LJ Freeman

John Kerr

Gabriel Recchia

Claudia R Schneider

Alice CE Lawrence

...

2021/4/21

Should we trust algorithms

Harvard Data Science Review

David Spiegelhalter

2020/1/31

Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study

bmj

Ash K Clift

Carol AC Coupland

Ruth H Keogh

Karla Diaz-Ordaz

Elizabeth Williamson

...

2020/10/20

Use of “normal” risk to improve understanding of dangers of covid-19

Bmj

David Spiegelhalter

2020/9/9

See List of Professors in david spiegelhalter University(University of Cambridge)