Shona Kirtley

University of Oxford - Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)

SCHOLARLY PAPERS

5

DOWNLOADS

324

TOTAL CITATIONS

1

Scholarly Papers (5)

1.

Larger Sample Sizes are Needed When Developing a Clinical Prediction Model Using Machine Learning in Oncology: Methodological Systematic Review

Number of pages: 40 Posted: 08 May 2024
affiliation not provided to SSRN, University of Birmingham, affiliation not provided to SSRN, University of Oxford - Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Birmingham, affiliation not provided to SSRN, KU Leuven - Department of Development and Regeneration, University of Oxford and University of Oxford - Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)
Downloads 148 (432,090)
Citation 1

Abstract:

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Keywords: machine learning, oncology, sample size, prediction model, systematic review, methodology

2.

Systematic Review Highlights High Risk of Bias of Clinical Prediction Models for Blood Transfusion in Patients Undergoing Elective Surgery

Number of pages: 37 Posted: 06 Jan 2023
University of Oxford - Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, University of Oxford, University of Oxford - John Radcliffe Hospital, University of Dundee, University of Oxford, University of Oxford - Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford - John Radcliffe Hospital, University of Oxford - John Radcliffe Hospital, University of Oxford and University of Oxford - Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)
Downloads 72 (714,031)

Abstract:

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Blood transfusion, prediction model, risk of bias

3.

Developing Evidence-Based Patient Focused Learning Materials to Support Health Behaviour Change for People Living with Psoriatic Arthritis

Number of pages: 14 Posted: 24 Feb 2023
University of Oxford - Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Nottingham - Centre of Evidence-based Dermatology, Cardiff University - School of Healthcare Sciences, University of Oxford - Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford - Nuffield Department of Primary Care Health Sciences, Patient Research Partner, GRAPPA Network Patient Research Partner, University of Oxford - Nuffield Department of Primary Care Health Sciences and University of Oxford - Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)
Downloads 40 (950,501)

Abstract:

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Psoriatic arthritis, behaviour change, evidence-based, learning materials

4.

Prediction Model Protocols Indicate Better Adherence to Recommended Guidelines for Study Conduct

Number of pages: 27 Posted: 07 Dec 2023
University of Oxford - Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, University of Oxford - Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, University of Oxford, University of Oxford and University of Oxford
Downloads 33 (1,022,031)

Abstract:

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prediction model, protocol, reporting

5.

Characteristics and Development Methods of Reporting Guidelines for Health Research in the Equator Network Database

Number of pages: 23 Posted: 27 Feb 2023
University of Oxford, University College Dublin (UCD), University of Oxford, University of Oxford - Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, University of Oxford - Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Université Paris-Saclay, University of Basel - University Hospital Basel, Wake Forest School of Medicine, The Ottawa Health Research Institute (OHRI) and University of Oxford
Downloads 31 (1,043,941)

Abstract:

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research quality, reporting quality, reporting standards, research standards, meta-research, research on research, research waste