Patrick Royston

Patrick Royston

University College London

H-index: 101

Europe-United Kingdom

About Patrick Royston

Patrick Royston, With an exceptional h-index of 101 and a recent h-index of 62 (since 2020), a distinguished researcher at University College London, specializes in the field of Biostatistics, survival analysis, regression modelling, clinical trials, statistical computing.

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

ARTBIN: Stata module to calculate sample size or power for randomized trials with binary outcomes

ARTCAT: Stata module to calculate sample size or power for a two-group trial with ordered categorical outcome

ART: Stata module to compute sample size and power for complex randomised trial designs with binary or time-to-event outcomes

artbin: Extended sample size for randomized trials with binary outcomes

Multiply imputing informatively censored time-to-event data

NSTAGE: Stata module for multi-arm, multi-stage (MAMS) trial designs for time-to-event outcomes

A flexible parametric accelerated failure time model and the extension to time-dependent acceleration factors

artcat: Sample-size calculation for an ordered categorical outcome

Patrick Royston Information

University

Position

Professor of Statistics

Citations(all)

75719

Citations(since 2020)

30936

Cited By

57603

hIndex(all)

101

hIndex(since 2020)

62

i10Index(all)

232

i10Index(since 2020)

162

Email

University Profile Page

University College London

Google Scholar

View Google Scholar Profile

Patrick Royston Skills & Research Interests

Biostatistics

survival analysis

regression modelling

clinical trials

statistical computing

Top articles of Patrick Royston

Title

Journal

Author(s)

Publication Date

ARTBIN: Stata module to calculate sample size or power for randomized trials with binary outcomes

Abdel Babiker

Friederike Maria-Sophie Barthel

Babak Choodari-Oskooei

Patrick Royston

Ella Marley-Zagar

...

2024/1/10

ARTCAT: Stata module to calculate sample size or power for a two-group trial with ordered categorical outcome

Ian R White

Ella Marley-Zagar

Tim P Morris

Mahesh KB Parmar

Patrick Royston

...

2023/11/2

ART: Stata module to compute sample size and power for complex randomised trial designs with binary or time-to-event outcomes

Abdel Babiker

Friederike Maria-Sophie Barthel

Babak Choodari-Oskooei

Patrick Royston

Ella Marley-Zagar

...

2023/5/24

artbin: Extended sample size for randomized trials with binary outcomes

The Stata Journal

Ella Marley-Zagar

Ian R White

Patrick Royston

Friederike M-S Barthel

Mahesh KB Parmar

...

2023/3

Multiply imputing informatively censored time-to-event data

Ian R White

Patrick Royston

2023/9/10

NSTAGE: Stata module for multi-arm, multi-stage (MAMS) trial designs for time-to-event outcomes

Patrick Royston

Daniel Bratton

Babak Choodari-Oskooei

Frederike Maria-Sophie Barthel

2023/4/8

A flexible parametric accelerated failure time model and the extension to time-dependent acceleration factors

Biostatistics

Michael J Crowther

Patrick Royston

Mark Clements

2023/7/1

artcat: Sample-size calculation for an ordered categorical outcome

The Stata Journal

Ian R White

Ella Marley-Zagar

Tim P Morris

Mahesh KB Parmar

Patrick Royston

...

2023/3

Reply to U. Capitanio et al.

Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology

Bhavna Oza

Tim Eisen

Grant D Stewart

Axel Bex

Patrick Royston

...

2022/9/27

Re: Spline-based accelerated failure time model

Statistics in Medicine

Mark Clements

Benjamin Christoffersen

Patrick Royston

Michael Crowther

2022/3/30

External validation of the 2003 Leibovich prognostic score in patients randomly assigned to SORCE, an international phase III trial of adjuvant sorafenib in renal cell cancer

Journal of Clinical Oncology

Bhavna Oza

Tim Eisen

Eleni Frangou

Grant D Stewart

Axel Bex

...

2022/6/6

Personalized model to predict keratoconus progression from demographic, topographic, and genetic data

American journal of ophthalmology

Howard P Maile

Ji-Peng Olivia Li

Mary D Fortune

Patrick Royston

Marcello T Leucci

...

2022/8/1

PCIPLOT: Stata module to plot pointwise confidence intervals

Patrick Royston

2022/10/30

OP-3 Personalised model to predict keratoconus progression from demographic, topographic and genetic data

Olivia Li

Howard P Maile

Mary D Fortune

Patrick J Royston

Marcello T Leucci

...

2022/5/1

Investigating treatment-effect modification by a continuous covariate in IPD meta-analysis: an approach using fractional polynomials

BMC medical research methodology

Willi Sauerbrei

Patrick Royston

2022/4/6

Multi-arm multi-stage (MAMS) platform randomized clinical trials

Babak Choodari-Oskooei

Matthew R Sydes

Patrick Royston

Mahesh KB Parmar

2022/7/20

Doug Altman: Driving critical appraisal and improvements in the quality of methodological and medical research

Willi Sauerbrei

Martin Bland

Stephen JW Evans

Richard D Riley

Patrick Royston

...

2021/2

A unified Stata package for calculating sample sizes for trials with binary outcomes (artbin)

Ella Marley-Zagar

Ian R White

Mahesh KB Parmar

Patrick Royston

Abdel G Babiker

2021/9/12

IPDFC: Stata module to reconstruct individual participant data from a published Kaplan-Meier curve

Yinghui Wei

Patrick Royston

2020/11/13

Sample size calculation for an ordered categorical outcome

Ian R White

Ella Marley-Zagar

Tim Morris

Mahesh KB Parmar

Patrick Royston

...

2020/9/11

See List of Professors in Patrick Royston University(University College London)