Bill Byrom

1.7k total citations
56 papers, 1.1k citations indexed

About

Bill Byrom is a scholar working on General Health Professions, Statistics and Probability and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Bill Byrom has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in General Health Professions, 12 papers in Statistics and Probability and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Bill Byrom's work include Statistical Methods in Clinical Trials (12 papers), Mobile Health and mHealth Applications (10 papers) and Health Systems, Economic Evaluations, Quality of Life (9 papers). Bill Byrom is often cited by papers focused on Statistical Methods in Clinical Trials (12 papers), Mobile Health and mHealth Applications (10 papers) and Health Systems, Economic Evaluations, Quality of Life (9 papers). Bill Byrom collaborates with scholars based in United Kingdom, United States and Switzerland. Bill Byrom's co-authors include Willie Muehlhausen, Marie Mc Carthy, David A. Rowe, Michael G. Hutchison, Oliver N. Keene, L.F. Lacey, John McKellar, Alison Carr, Philip Breedon and Francesco Luke Siena and has published in prestigious journals such as Biometrics, International Journal of Obesity and Clinical Pharmacology & Therapeutics.

In The Last Decade

Bill Byrom

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Bill Byrom United Kingdom	17	163	150	135	131	114	56	1.1k
Munyaradzi Dimairo United Kingdom	22	131 0.8×	165 1.1×	188 1.4×	227 1.7×	323 2.8×	49	1.9k
S. Swaroop Vedula United States	15	74 0.5×	247 1.6×	205 1.5×	110 0.8×	160 1.4×	33	1.1k
Michael L. Cohen United States	11	114 0.7×	149 1.0×	139 1.0×	120 0.9×	199 1.7×	19	1.5k
Mark Corbett United Kingdom	21	193 1.2×	189 1.3×	118 0.9×	41 0.3×	131 1.1×	43	1.4k
Kazushi Maruo Japan	20	168 1.0×	91 0.6×	166 1.2×	72 0.5×	60 0.5×	190	1.4k
Liliane Zorzela Canada	14	43 0.3×	162 1.1×	151 1.1×	110 0.8×	145 1.3×	32	1.2k
Warren L. May United States	29	140 0.9×	322 2.1×	406 3.0×	119 0.9×	73 0.6×	86	2.6k
Deborah R. Zucker United States	16	71 0.4×	85 0.6×	146 1.1×	116 0.9×	196 1.7×	29	1.1k
Steven C. Bagley United States	15	66 0.4×	101 0.7×	101 0.7×	127 1.0×	108 0.9×	21	1.5k
Yohei Kawasaki Japan	25	213 1.3×	442 2.9×	155 1.1×	105 0.8×	31 0.3×	291	2.6k

Countries citing papers authored by Bill Byrom

Since Specialization

Citations

This map shows the geographic impact of Bill Byrom's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bill Byrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bill Byrom more than expected).

Fields of papers citing papers by Bill Byrom

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bill Byrom. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bill Byrom. The network helps show where Bill Byrom may publish in the future.

Co-authorship network of co-authors of Bill Byrom

This figure shows the co-authorship network connecting the top 25 collaborators of Bill Byrom. A scholar is included among the top collaborators of Bill Byrom based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bill Byrom. Bill Byrom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Reaney, Matthew, Vivian H. Shih, Alison Wilson, et al.. (2025). A Consistent Lack of Consistency: Definitions, Evidentiary Expectations and Potential Use of Meaningful Change Data in Clinical Outcome Assessments Across Stakeholders. Results from a DIA Working Group Literature Review and Survey. Therapeutic Innovation & Regulatory Science. 59(2). 337–348. 2 indexed citations

Izmailova, Elena S., David J. Middleton, Juliana M. Kling, et al.. (2024). Implementing sensor‐based digital health technologies in clinical trials: Key considerations from the eCOA Consortium. Clinical and Translational Science. 17(11). e70054–e70054. 2 indexed citations

Byrom, Bill, et al.. (2023). PCR75 Assessment of Completion Time to Optimize the Administration of Common Patient-Reported Outcome Measures (PROMS) in Oncology Clinical Trials. Value in Health. 26(6). S325–S325. 1 indexed citations

Edgar, Chris J., Elizabeth Nicole Bush, Heather Adams, et al.. (2023). Recommendations on the Selection, Development, and Modification of Performance Outcome Assessments: A Good Practices Report of an ISPOR Task Force. Value in Health. 26(7). 959–967. 6 indexed citations

Byrom, Bill, et al.. (2023). Deriving Meaningful Aspects of Health Related to Physical Activity in Chronic Disease: Concept Elicitation Using Machine Learning–Assisted Coding of Online Patient Conversations. Value in Health. 26(7). 1057–1066.

Hudgens, Stacie, Louise Newton, Sonya Eremenco, et al.. (2022). Comparability of a provisioned device versus bring your own device for completion of patient-reported outcome measures by participants with chronic obstructive pulmonary disease: quantitative study findings. Journal of Patient-Reported Outcomes. 6(1). 119–119. 5 indexed citations

Byrom, Bill, et al.. (2022). Measurement Comparability of Electronic and Paper Administration of Visual Analogue Scales: A Review of Published Studies. Therapeutic Innovation & Regulatory Science. 56(3). 394–404. 23 indexed citations

Newton, Louise, Sonya Eremenco, Stacie Hudgens, et al.. (2022). Comparability of a provisioned device versus bring your own device for completion of patient-reported outcome measures by participants with chronic obstructive pulmonary disease: qualitative interview findings. Journal of Patient-Reported Outcomes. 6(1). 86–86. 4 indexed citations

Di, Junrui, Charmaine Demanuele, Anna Kettermann, et al.. (2021). Considerations to address missing data when deriving clinical trial endpoints from digital health technologies. Contemporary Clinical Trials. 113. 106661–106661. 29 indexed citations

10.

Mowlem, Florence D., et al.. (2020). Optimizing electronic capture of patient-reported outcome measures in oncology clinical trials: lessons learned from a qualitative study. Journal of Comparative Effectiveness Research. 9(17). 1195–1204. 6 indexed citations

11.

Newton, Louise, Sonya Eremenco, Stacie Hudgens, et al.. (2018). PRS87 - COMPARABILITY OF A PROVISIONED DEVICE VERSUS BRING YOUR OWN DEVICE FOR COMPLETION OF PATIENT-REPORTED OUTCOME (PRO) MEASURES BY PARTICIPANTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE (COPD): QUALITATIVE INTERVIEW FINDINGS. Value in Health. 21. S418–S418. 1 indexed citations

12.

Byrom, Bill, Chad Gwaltney, Ashley F. Slagle, Ari Gnanasakthy, & Willie Muehlhausen. (2018). Measurement Equivalence of Patient-Reported Outcome Measures Migrated to Electronic Formats: A Review of Evidence and Recommendations for Clinical Trials and Bring Your Own Device. Therapeutic Innovation & Regulatory Science. 53(4). 426–430. 22 indexed citations

13.

Byrom, Bill, et al.. (2018). Perceived Burden of Completion of Patient-Reported Outcome Measures in Clinical Trials: Results of a Preliminary Study. Therapeutic Innovation & Regulatory Science. 53(3). 318–323. 16 indexed citations

14.

Byrom, Bill, Christopher Watson, Helen Doll, et al.. (2017). Selection of and Evidentiary Considerations for Wearable Devices and Their Measurements for Use in Regulatory Decision Making: Recommendations from the ePRO Consortium. Value in Health. 21(6). 631–639. 53 indexed citations

15.

Muehlhausen, Willie, et al.. (2017). Standards for Instrument Migration When Implementing Paper Patient-Reported Outcome Instruments Electronically: Recommendations from a Qualitative Synthesis of Cognitive Interview and Usability Studies. Value in Health. 21(1). 41–48. 13 indexed citations

16.

Byrom, Bill, Helen Doll, Willie Muehlhausen, et al.. (2017). Measurement Equivalence of Patient-Reported Outcome Measure Response Scale Types Collected Using Bring Your Own Device Compared to Paper and a Provisioned Device: Results of a Randomized Equivalence Trial. Value in Health. 21(5). 581–589. 37 indexed citations

17.

Byrom, Bill, Gareth Stratton, Marie Mc Carthy, & Willie Muehlhausen. (2016). Objective measurement of sedentary behaviour using accelerometers. International Journal of Obesity. 40(11). 1809–1812. 58 indexed citations

18.

Byrom, Bill, Philip Breedon, & Willie Muehlhausen. (2016). A Review Evaluating the Validity of Motion-Based Gaming Platforms to Measure Clinical Outcomes in Clinical Research. Value in Health. 19(7). A357–A358. 1 indexed citations

19.

Byrom, Bill. (2005). Clinical Trials & Regulatory Affairs Managing the Medication Supply Chain Process Using Clinical Technology Solutions. 7(1). 59–62. 1 indexed citations

20.

Lindsey, J. K., et al.. (2000). Simultaneous modelling of flosequinan and its metabolite. European Journal of Clinical Pharmacology. 55(11-12). 827–836. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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