Dr Suzanne Freeman

Lecturer in Biostatistics

CONTACT DETAILS

Department of Health Sciences
University of Leicester
Centre for Medicine
University Road
Leicester LE1 7RH

Email:   suzanne.freeman@leicester.ac.uk

 

Personal Details

I am a Lecturer in Biostatistics, an NIHR Post-Doctoral Research Fellow and a member of the NIHR Complex Reviews Support Unit (CRSU).

 

Research

My main research areas are:

  • Network meta-analysis
  • Component network meta-analysis
  • Individual participant data meta-analysis and network meta-analysis
  • Synthesis of time-to-event and continuous outcomes
  • Diagnostic test accuracy meta-analysis
  • Health technology assessment
  • Bayesian analysis
  • Clinical Trials

 

Publications

Doleman B, Mathiesen O, Jakobsen JC, Sutton AJ, Freeman SC, Lund J, Williams J. Methodologies for systematic reviews with meta-analysis of randomised clinical trials in pain, anaesthesia, and perioperative medicine. British Journal of Anaesthesia. 2021; 126: 903-911, DOI: https://doi.org/10.1016/j.bja.2021.01.004

Quinn T, Burton JK, Carter B, Cooper NJ, Dwan K, Field R, Freeman SC, Geue C, Hsieh PH, McGill K, Nevill CR, Rana D, Sutton A, Rowan MT, Xin, Y. Following the Science? Comparison of the methodological and reporting quality of covid-19 and other research. BMC Medicine. 2021; 19: 46, DOI: https://doi.org/10.1186/s12916-021-01920-x

Hartmann-Boyce J, Livingstone-Banks J, Ordóñez-Mena JM, Fanshawe TR, Lindson N, Freeman SC, Sutton AJ, Theodoulou A, Aveyard P. Behavioural interventions for smoking cessation: An overview and network meta-analysis. Cochrane Database of Systematic Reviews 2020, Issue 12. DOI: https://doi.org/10.1002/14651858.CD013229.pub2

Patel A, Cooper N, Freeman SC, Sutton A. Graphical enhancements to summary receiver operating characteristic (SROC) plots to facilitate the analysis and reporting of meta-analysis of diagnostic test accuracy data. Research Synthesis Methods 2021; 12: 34-44, DOI: https://doi.org/10.1002/jrsm.1439

Freeman SC, Sutton AJ, Cooper NJ. Uptake of methodological advances for synthesis of continuous and time-to-event outcomes would maximise use of the evidence base. Journal of Clinical Epidemiology. DOI: https://doi.org/10.1016/j.jclinepi.2020.05.010

Doleman B, Freeman SC, Lund JN, William JP, Sutton AJ. Funnel plots may show asymmetry in the presence of publication bias with continuous outcomes dependent on baseline risk: presentation of a new publication bias test. Research Synthesis Methods. DOI: https://doi.org/10.1002/jrsm.1414

Freeman SC, Fisher D, Carpenter JR, White I. Identifying inconsistency in network meta-analysis: Is the net heat plot a reliable method? Statistics in Medicine. 2019; 38: 5547-5564

Best LM, Leung J, Freeman SC, Sutton AJ, Cooper NJ, Milne EJ, Cowlin M, Payne A, Walshaw D, Thorburn D, Pavlov CS, Davidson BR, Tsochatzis E, Williams NR, Gurusamy KS. Induction immunosuppression in adults undergoing liver transplantation: A network meta-analysis. Cochrane Database of Systematic Reviews 2020, Issue 1. DOI: 10.1002/14651858.CD013203.pub2

Komolafe O, Roberts D, Freeman SC, Wilson P, Sutton AJ, Cooper NJ, Pavlov CS, Milne EJ, Hawkins N, Cowlin M, Thorburn D, Davidson BR, Tsochatzis E, Gurusamy KS. Antibiotic prophylaxis to prevent spontaneous bacterial peritonitis in people with liver cirrhosis: A network meta-analysis. Cochrane Database of Systematic Reviews 2020, Issue 1. DOI: 10.1002/14651858.CD013125.pub2

Benmassaoud A, Freeman SC, Roccarina D, Plaz Torres, MC, Sutton AJ, Cooper NJ, Iogna Prat L, Cowlin M, Milne EJ, Hawkins N, Davidson BR, Pavlov CS, Thorburn D, Tsochatzis E, Gurusamy KS. Treatment for asciates in adults with decompensated liver cirrhosis: A network meta-analysis. Cochrane Database of Systematic Reviews 2020, Issue 1. DOI: 10.1002/14651858.CD013123.pub2

Freeman SC, Kerby CR, Patel A, Cooper NJ, Quinn T, Sutton AJ. Development of an interactive web-based tool to conduct and interrogate meta-analysis of diagnostic test accuracy studies: MetaDTA. BMC Medical Research Methodology. 2019; 19: 81

Freeman SC, Kerby C, Cooper NJ, Sutton AJ. An interactive web application to aid diagnostic test accuracy meta-analysis. Diagnostic and Prognostic Research 2018; 2(Suppl 1):O9

Iheozor-Ejiofor Z, Gordon M, Clegg A, Freeman SC, Gjuladin-Hellon T, MacDonald JK, Akobeng AK. Interventions for maintenance of surgically induced remission in Crohn’s disease: A network meta-analysis. Cochrane Database of Systematic Reviews 2019, Issue 9. DOI: 10.1002/14651858.CD013210.pub2

Prat LI, Wilson P, Freeman SC, Sutton AJ, Cooper NJ, Roccarina D, Benmassaoud A, Torres MCP, Hawkins N, Cowlin M, Milne EJ, Thorburn D, Pavlov CS, Davidson BR, Tsochatzis E, Gurusamy KS. Antibiotic treatment for spontaneous bacterial peritonitis in people with decompensated liver cirrhosis: A network meta-analysis. Cochrane Database of Systematic Reviews 2019, Issue 9. DOI: 10.1002/14651858.CD013120.pub2

Best LMJ, Freeman SC, Sutton AJ, Cooper NJ, Tng E, Csenar M, Hawkins N, Pavlov CS, Davidson BR, Thorburn D, Cowlin M, Milne EJ, Tsochatzis E, Gurusamy KS. Treatment for hepatorenal syndrome in people with decompensated liver cirrhosis: A network meta-analysis. Cochrane Database of Systematic Reviews 2019, Issue 9. DOI:10.1002/14651858.CD01303.pub2

Freeman SC, Scott NW, Powell R, Johnston M, Sutton AJ, Cooper NJ. Utilising component network meta-analysis to identify the most effective components of psychological preparation for adults undergoing surgery under general anaesthesia. Journal of Clinical Epidemiology 2018; 98: 105

Freeman SC, Fisher D, Tierney JF, Carpenter JR. A framework for identifying treatment-covariate interactions in individual participant data network meta-analysis. Research Synthesis Methods 2018; 9: 393-407

Freeman SC, Carpenter JR. Bayesian one-step IPD network meta-analysis of time-to-event data using Royston-Parmar models. Research Synthesis Methods 2017; 1-15.
https://doi.org/10.1002/jrsm.1253

Fisher D, Carpenter J, Morris T, Freeman SC, Tierney J. Meta-analytical methods to identify who benefits most from treatments: daft, deluded, or deft approach? BMJ 2017; 356; j573

Freeman S, Carpenter J, Tierney J. One-Step Individual Patient Data (IPD) Network Meta-Analysis of Survival Data using Royston-Parmar Models. Trials 2015: 16(Suppl 2):P161

Langley RE, Cafferty FH, Alhasso AA, Rosen SD, Sundaram SK, Freeman SC, Pollock P et al. Cardiovascular outcomes in patients with locally advanced and metastatic prostate cancer treated with luteinising-hormone-releasing-hormone agonists or transdermal oestrogen: the randomised, phase 2 MRC PATCH trial (PR09). The Lancet Oncology 2013; 14(4):306

Cafferty FH, Gabe R, Huddart RA, Rustin G, Williams MP, Stenning SP, Bara A, Bathia R, Freeman SC, Alder L, Joffe JK. UK Management Practices in Stage I Seminoma and the Medical Research Council Trial of Imaging and Schedule in Seminoma Testis Managed with Surveillance. Clinical Oncology 2012; 24: 25

Pickup JC, Freeman SC, Sutton AJ. Glycaemic control in type 1 diabetes during real time continuous glucose monitoring compared with self-monitoring of blood glucose: meta-analysis of randomised controlled trials using individual patient data. BMJ 2011; 343: d3805

 

Workshops & Short Courses

Right questions, right methods, right now. Cochrane UK & Cochrane Ireland, 21st April 2021

Maximising the value of clinical trial data: Analysis for economic evaluation and modelling. University of Glasgow, October 2020

NIHR Complex Reviews Support Unit Cochrane Workshop, London, 22nd November 2019

Not a giant leap, but a small step from pairwise to network meta-analysis. Cochrane UK, 21st March 2019

Meta-Analysis: Exploring Heterogeneity in Populations, Settings, Interventions and Outcome Measures. National Institute for Health and Care Excellence London, 30th-31st January 2019

Finding solutions to challenging and complex Cochrane Reviews: The National Institute for Health Research Complex Reviews Support. Cochrane Colloquium, 17th September 2018

NIHR Complex Reviews Support Unit Cochrane Workshop. Cochrane UK, 26th April 2018

Examples of collaborations with Cochrane Review Groups: Assessment of complex interventions, test accuracy and network meta-analyses. Cochrane UK, 14th March 2017

 

Invited Talks

Network meta-analysis of time-to-event outcomes in the presence of non-proportional hazards. University of Glasgow, November 2020

Identifying publication bias in meta-analysis of continuous outcomes. Cochrane Learning Live, July 2020

My experience of applying for an NIHR Advanced Fellowship. East Midlands Research Design Service NIHR Fellowship Event, February 2020

Identifying publication bias in meta-analysis of continuous outcomes. Cochrane Methods Group Co-Convenor Meeting, Cochrane Colloquium, Santiago, 2019

Individual participant data meta-analysis of survival outcomes using the Royston-Parmar model: A framework for identifying treatment-covariate interactions. University of Manchester Bi-Annual Biostatistics seminar, October 2018

Individual participant data meta-analysis of survival outcomes using the Royston-Parmar model. Roche, January 2018

Survival analysis: beyond proportional hazards. Invited session. Royal Statistical Society Conference, Glasgow, 2017


Conference Abstracts

Freeman SC, Patel A, Kerby CR, Cooper NJ, Quinn T, Sutton AJ. MetaDTA: An interactive web-based tool for meta-analysis of diagnostic test accuracy studies. Evidence Synthesis & Meta-Analysis in R, 2021

Freeman SC, Cooper, NJ, Sutton AJ, Crowther MJ, Carpenter, JR, Hawkins N. Challenges of Bayesian modelling approaches for network meta-analysis of time-to-event outcomes to aid decision making. Oral presentation. Society for Medical Decision Making 18th Biennial European Conference, Berlin, 2020

Freeman SC, Sutton AJ, Cooper NJ. Current challenges in the synthesis of continuous and time-to-event outcomes for health technology assessment. Poster presentation. Society for Medical Decision Making 18th Biennial European Conference, Berlin, 2020

Freeman SC, Sutton AJ, Cooper NJ. A review of the methodology used to synthesise continuous and time-to-event outcomes for clinical and cost-effectiveness. Oral presentation. Health Technology Assessment International, Beijing, 2020

Freeman SC, Cooper, NJ, Sutton AJ, Crowther MJ, Carpenter, JR, Hawkins N. Challenges of Bayesian modelling approaches for network meta-analysis of time-to-event outcomes to aid decision making. Oral presentation. Health Technology Assessment International, Beijing, 2020

Freeman SC, Brady EM, Polmann H, Réus J, De Luca Canto G, Robertson N, Squire I, Bernhardt L. Multiple screening tools, multiple thresholds multiple clinical cohorts: Evaluating screening tools for obstructive sleep apnoea. Poster presentation. Methods for Evaluation of Medical Prediction Models, Tests and Biomarkers, Leuven, 2020

Patel A, Cooper, NJ, Freeman SC, Sutton AJ. Graphical enhancements to summary receiver operating characteristic plots to facilitate diagnostic test accuracy meta-analysis. Oral presentation. Methods for Evaluation of Medical Prediction Models, Tests and Biomarkers, Leuven, 2020

Doleman B, Freeman SC, Sutton AJ. Identifying publication bias in meta-analyses of continuous outcomes in the presence of baseline risk. Oral presentation. Cochrane Colloquium, Toronto, 2020

Bernhardt L, Brady EM, Freeman SC, Polmann H, Réus J, De Luca Canto G, Robertson N, Squire I. Diagnostic accuracy of screening questionnaires for obstructive sleep apnoea in adults within different clinical cohorts: a systematic review and meta-analysis. Poster presentation. World Sleep Conference, Vancouver, 2019

Freeman SC, Cooper NJ, Sutton AJ, Hawkins N. Comparison of modelling approaches for network meta-analysis of time-to-event outcomes to aid decision making. Oral presentation. Cochrane Colloquium, Edinburgh, 2018

Freeman SC, Kerby C, Cooper NJ, Sutton AJ. An interactive web application to aid diagnostic test accuracy meta-analysis. Oral presentation. Oral presentation. Cochrane Colloquium, Edinburgh, 2018

Freeman SC, Kerby C, Cooper NJ, Sutton AJ. An interactive web application to aid diagnostic test accuracy meta-analysis. Oral presentation. Methods for Evaluation of Medical Prediction Models, Tests and Biomarkers, Utrecht, 2018

Freeman SC, Scott NW, Powell R, Johnston M, Sutton AJ, Cooper NJ. Network meta-analysis of complex interventions: accounting for component effects and control group risk. Oral presentation. Global Evidence Summit, Cape Town 2017

Powell R, Freeman S, Scott NW, Sutton A, Cooper N, Manyande A, Vögele C, Bruce J, Byrne-Davis L, Johnston M. Understanding the contribution of intervention components: A component-based network meta-analysis approach to psychological preparation for surgery. European Health Psychology Society, Padua 2017

Freeman S, Fisher D, Tierney J, Carpenter J. A framework for identifying treatment-covariate interactions in individual participant data network meta-analysis. Oral presentation. 4th International Clinical Trials Methodology Conference & 38th Society for Clinical Trials Meeting, Liverpool 2017

Freeman S, Fisher D, Carpenter J, White I. Inconsistency in network meta-analysis: A critical comparison of methods. Oral presentation. International Society Clinical Biostatistics, Birmingham 2016

Freeman S, Carpenter J, Tierney J. One-Step Individual Patient Data (IPD) Network Meta-Analysis of Survival Data using Royston-Parmar Models. Poster presentation. International Clinical Trials Methodology Conference, Glasgow 2015

Hook J, Freeman S, Stenning S, McNeish I, Perren T, Naik R, Kaye S, Ledermann J, Clamp A. GCIG ICON8 trial stage IA analysis: safety and feasibility of two dose-fractionated weekly carboplatin-paclitaxel regimens for the first-line treatment of ovarian cancer. European Society of Gynaecological Oncology 2013

Hook J, Freeman S, Stenning S, Petrie J, McNeish I, Perren T, Naik R, Kaye S, Ledermann J, Clamp A. ICON8 trial stage IA analysis: safety and feasibility of two dose-fractionated weekly carboplatin-paclitaxel regimens for first-line treatment of ovarian cancer. NCRI Cancer Conference 2013

Hook J, Freeman S, Tomiczek M, Stenning S, McNeish I, Ledermann J, Clamp A. Current delays in setting-up investigator-driven randomised controlled trials: the ICON8 experience. NCRI Cancer Conference 2012

Abel PD, Sundaram SK, Godsland IF, Kynaston HG, Clarke NW, Alhasso AA, Rosen SD, Freeman SC, Jinks RC, Pollock P, Cafferty FH, Parmar M, Langley RE. Cardiovascular events and metabolic changes in prostate cancer patients treated with transcutaneous oestrogen patches compared with LHRH analogues: Results from a randomized phase II trial (MRC PR09 PATCH). The Prostate Cancer Charity National Research Conference 2011

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