Miriam Hattle

608 total citations
17 papers, 286 citations indexed

About

Miriam Hattle is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Rheumatology. According to data from OpenAlex, Miriam Hattle has authored 17 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics, Probability and Uncertainty, 5 papers in Statistics and Probability and 4 papers in Rheumatology. Recurrent topics in Miriam Hattle's work include Meta-analysis and systematic reviews (8 papers), Osteoarthritis Treatment and Mechanisms (4 papers) and Reliability and Agreement in Measurement (3 papers). Miriam Hattle is often cited by papers focused on Meta-analysis and systematic reviews (8 papers), Osteoarthritis Treatment and Mechanisms (4 papers) and Reliability and Agreement in Measurement (3 papers). Miriam Hattle collaborates with scholars based in United Kingdom, Netherlands and Australia. Miriam Hattle's co-authors include Richard D Riley, Joie Ensor, Ji‐Guang Wang, François Gueyffier, Jeroen Hoogland, Jan A. Staessen, Karel G.M. Moons, Thomas P. A. Debray, David J. Fisher and Johannes B. Reitsma and has published in prestigious journals such as SHILAP Revista de lepidopterología, The British Journal of Psychiatry and BMJ.

In The Last Decade

Miriam Hattle

17 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miriam Hattle United Kingdom 7 69 45 41 36 31 17 286
Marija Ćavar Croatia 10 60 0.9× 75 1.7× 61 1.5× 25 0.7× 6 0.2× 18 377
Jane Candlish United Kingdom 6 32 0.5× 23 0.5× 17 0.4× 18 0.5× 24 0.8× 6 208
Steven Shea United States 11 203 2.9× 50 1.1× 28 0.7× 41 1.1× 34 1.1× 15 560
Ivana Vuka Croatia 9 17 0.2× 30 0.7× 87 2.1× 32 0.9× 9 0.3× 14 247
Matija Borić Croatia 11 20 0.3× 55 1.2× 49 1.2× 34 0.9× 6 0.2× 27 277
Sigal Kaplan Israel 10 42 0.6× 30 0.7× 4 0.1× 55 1.5× 20 0.6× 48 389
A Karlińska Poland 6 25 0.4× 26 0.6× 15 0.4× 126 3.5× 6 0.2× 8 343
Benjamin G. Feakins United Kingdom 9 77 1.1× 36 0.8× 11 0.3× 10 0.3× 2 0.1× 15 299
Marco Sbolli Italy 8 315 4.6× 31 0.7× 8 0.2× 19 0.5× 14 0.5× 15 406
Alfred Soffer United States 12 127 1.8× 80 1.8× 42 1.0× 27 0.8× 14 0.5× 82 437

Countries citing papers authored by Miriam Hattle

Since Specialization
Citations

This map shows the geographic impact of Miriam Hattle'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 Miriam Hattle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Hattle more than expected).

Fields of papers citing papers by Miriam Hattle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miriam Hattle. 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 Miriam Hattle. The network helps show where Miriam Hattle may publish in the future.

Co-authorship network of co-authors of Miriam Hattle

This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Hattle. A scholar is included among the top collaborators of Miriam Hattle 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 Miriam Hattle. Miriam Hattle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Farooq, Saeed, Miriam Hattle, Tom Kingstone, et al.. (2024). Development and initial evaluation of a clinical prediction model for risk of treatment resistance in first-episode psychosis: Schizophrenia Prediction of Resistance to Treatment (SPIRIT). The British Journal of Psychiatry. 225(3). 379–388. 3 indexed citations
2.
Hattle, Miriam, Joie Ensor, Marienke van Middelkoop, et al.. (2024). Individual participant data meta‐analysis to examine linear or non‐linear treatment‐covariate interactions at multiple time‐points for a continuous outcome. Research Synthesis Methods. 15(6). 1001–1016. 1 indexed citations
3.
Middelkoop, Marienke van, D. Schiphof, Miriam Hattle, et al.. (2024). People with short symptom duration of knee osteoarthritis benefit more from exercise therapy than people with longer symptom duration: An individual participant data meta-analysis from the OA trial bank. Osteoarthritis and Cartilage. 32(12). 1620–1627. 7 indexed citations
5.
Whittle, Rebecca, Joie Ensor, Miriam Hattle, et al.. (2024). Calculating the power of a planned individual participant data meta‐analysis to examine prognostic factor effects for a binary outcome. Research Synthesis Methods. 15(6). 905–916. 1 indexed citations
6.
Riley, Richard D, et al.. (2023). Two‐stage or not two‐stage? That is the question for IPD meta‐analysis projects. Research Synthesis Methods. 14(6). 903–910. 26 indexed citations
7.
Levis, Brooke, Kym I E Snell, Johanna AAG Damen, et al.. (2023). Risk of bias assessments in individual participant data meta-analyses of test accuracy and prediction models: a review shows improvements are needed. Journal of Clinical Epidemiology. 165. 111206–111206. 1 indexed citations
8.
Runhaar, J., Melanie Holden, Miriam Hattle, et al.. (2023). Mechanisms of action of therapeutic exercise for knee and hip OA remain a black box phenomenon: an individual patient data mediation study with the OA Trial Bank. RMD Open. 9(3). e003220–e003220. 20 indexed citations
9.
Riley, Richard D, Gary S. Collins, Miriam Hattle, Rebecca Whittle, & Joie Ensor. (2023). Calculating the power of a planned individual participant data meta‐analysis of randomised trials to examine a treatment‐covariate interaction with a time‐to‐event outcome. Research Synthesis Methods. 14(5). 718–730. 4 indexed citations
11.
Holden, Melanie, Miriam Hattle, J. Runhaar, et al.. (2022). MODERATORS OF THE EFFECT OF THERAPEUTIC EXERCISE FOR PEOPLE WITH KNEE AND/OR HIP OSTEOARTHRITIS: AN INDIVIDUAL PARTICIPANT DATA META-ANALYSIS. Osteoarthritis and Cartilage. 30. S400–S400. 4 indexed citations
12.
Hattle, Miriam, Danielle Burke, Thomas A Trikalinos, et al.. (2022). Multivariate meta-analysis of multiple outcomes: characteristics and predictors of borrowing of strength from Cochrane reviews. Systematic Reviews. 11(1). 149–149. 20 indexed citations
13.
Riley, Richard D, Miriam Hattle, Gary S. Collins, Rebecca Whittle, & Joie Ensor. (2022). Calculating the power to examine treatment‐covariate interactions when planning an individual participant data meta‐analysis of randomized trials with a binary outcome. Statistics in Medicine. 41(24). 4822–4837. 5 indexed citations
14.
Albasri, Ali, Miriam Hattle, Constantinos Koshiaris, et al.. (2021). Association between antihypertensive treatment and adverse events: systematic review and meta-analysis. BMJ. 372. n189–n189. 88 indexed citations
15.
Macri, Erin M., Michael J. Callaghan, Marienke van Middelkoop, Miriam Hattle, & Sita Bierma‐Zeinstra. (2021). Effects of mechanical interventions in the management of knee osteoarthritis: protocol for an OA Trial Bank systematic review and individual participant data meta-analysis. BMJ Open. 11(2). e043026–e043026. 3 indexed citations
16.
Riley, Richard D, Thomas P. A. Debray, David J. Fisher, et al.. (2020). Individual participant data meta‐analysis to examine interactions between treatment effect and participant‐level covariates: Statistical recommendations for conduct and planning. Statistics in Medicine. 39(15). 2115–2137. 87 indexed citations
17.
Windt, Daniëlle van der, Danielle Burke, Opeyemi Babatunde, et al.. (2019). Predictors of the effects of treatment for shoulder pain: protocol of an individual participant data meta-analysis. SHILAP Revista de lepidopterología. 3(1). 15–15. 5 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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