Michael J. Crowther

Research Associate in Medical Statistics
and NIHR Doctoral Research Fellow

CONTACT DETAILS

Department of Health Sciences
University of Leicester
Adrian Building, University Road
Leicester, LE1 7RH

Tel: 00 44 116 229 7278
Email: michael.crowther@le.ac.uk

 

RESEARCH INTERESTS

My research interests include:

• The joint modelling of longitudinal and survival data
• Survival analysis
• Meta-analysis
• Statistical software development in Stata

 

RESEARCH PROJECTS

Dynamic clinical risk predictions in personalised medicine: development and application of joint models for repeatedly measured biomarkers and time-to-event data in biomedical research. NIHR Doctoral Research Fellowship. September 2012 - August 2015.

Improving the quality of care of patients with angina and heart attack. NIHR Research Methods Fellowship. September 2009 – August 2012.

 

PROFESSIONAL ACTIVITIES
Associate Editor - Journal of Statistical Software (http://www.jstatsoft.org/)
Oral presentations:

Invited

  • "Simulating simple and complex survival data." Stata UK Users' Group Meeting, Cass Business School, 11th September 2014.
  • "Flexible joint modelling of longitudinal and survival data: Implementation in Stata." Statistical Analysis of Multi-Outcome Data Workshop, University of Cambridge, 30th June-1st July 2014.
  • "Joint modelling of longitudinal and survival data in biomedical research." Probability and Statistics Group seminar series, University of Manchester, 21st May 2014.
  • "Joint modelling of longitudinal and survival data in biomedical research." Department of Medical Statistics seminar series, London School of Hygiene and Tropical Medicine, 5th February 2014.
  • "A general framework for parametric survival analysis". 6th International Conference of the European Research Consortium for Informatics and Mathematics Working Group on Computational and Methodological Statistics (ERCIM 2013), University of London, 14th-16th December 2013.
  • "An introduction to joint models for repeatedly measured biomarkers and time-to-event data in biomedical research." Centre for Health Economics seminar series, University of York, 11th February 2013.
  • "Development and application of joint models for repeatedly measured biomarkers and time-to-event data in biomedical research." Joint meeting of RSS West Midlands Local group and MRC Midland Hub for Trials Methodology, University of Birmingham, 8th November 2012.
  • "Life on the inside: Experiences as a StataCorp intern."  Stata UK Users' Group Meeting, Cass Business School, 14th September 2012.
  • “Flexible parametric joint modelling of longitudinal and survival data.” Workshop on methodological developments and applications of flexible parametric survival models, Karolinska Institutet, Stockholm, November 2011.

Conferences and Seminars

  • "Joint modelling of longitudinal and survival data incorporating delayed entry: application to repeatedly measured mammographic breast density and breast cancer survival". International Society for Clinical Biostatistics, Vienna, August 2014.
  • "Bayesian modelling of multivariate biomarker data using informative prior distributions in order to predict clinical outcomes". International Society for Bayesian Analysis World Meeting, Cancun, Mexico, 16th July 2014.
  • "Multilevel mixed effects parametric survival analysis". Survival Analysis for Junior Researchers, University of Warwick, 3rd-4th April 2014.
  • "Joint modelling of longitudinal and survival data." Department of Medical Epidemiology and Biostatistics Seminar, Karolinska Institutet, Stockholm, 12th November 2013.
  • "Simulating biologically plausible complex survival data" in the workshop "Methods for dealing with treatment switching in clinical trials." ISPOR European Congress, Dublin, November 2013.
  • "Multilevel mixed effects parametric survival analysis."  Stata UK Users' Group Meeting, Cass Business School, September 2013.
  • "A general framework for parametric survival analysis". International Society for Clinical Biostatistics, Munich, August 2013.
  • "Simulating biologically plausible complex survival data". Survival Analysis for Junior Researchers, University of Liverpool, March 2013.
  • "stgenreg: A Stata package for general parametric survival analysis."  Stata UK Users' Group Meeting, Cass Business School, September 2012.
  • "Adjusting for measurement error in baseline prognostic biomarkers: A joint modelling approach".  International Society for Clinical Biostatistics, Bergen, August 2012.
  • "Joint modelling of repeatedly measured biomarkers and time-to-event data." Survival Analysis for Junior Researchers, University of Leicester, April 2012.
  • “Simulating complex survival data.” Stata Nordic and Baltic Users' Group Meeting, Karolinska Institutet, November 2011.
  • “Flexible parametric joint modelling of longitudinal and survival data.” Stata UK Users' Group Meeting, Cass Business School, September 2011.
  • “Flexible joint modelling of longitudinal and survival data.” International Society for Clinical Biostatistics, Ottawa, August 2011.
  • “Individual patient data meta-analyses of survival data using Poisson regression models.” Young Statisticians Meeting, University of Southampton, April 2011.
  • “Individual patient data meta-analyses of survival data using Poisson regression models.” Methods in Meta-Analysis Meeting, Royal Statistical Society, January 2011

 

SOFTWARE

I have written a variety of Stata software in the areas of joint modelling, survival analysis and meta-analysis. They can be downloaded by typing within Stata -ssc install programname-.

 

PUBLICATIONS

2014

Crowther MJ, Lambert PC. A general framework for parametric survival analysis. Statistics in Medicine 2014; (In Press).

Gould AL, Boye ME, Crowther MJ, Ibrahim JG, Quartey G, Micallef S, Bois FY. Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group. Statistics in Medicine 2014; (In Press).

Crowther MJ, Look MP, Riley RD. Multilevel mixed effects parametric survival models using adaptive Gauss-Hermite quadrature with application to recurrent events and individual participant data meta-analysis.Statistics in Medicine 2014;33(22):3844-3858.

Latimer NR, Abrams KR, Lambert PC, Crowther MJ, Wailoo AJ, Morden JP, Akehurst RL, Campbell MJ. Adjusting survival time estimates to account for treatment switching in randomised controlled trials – an economic evaluation context: Methods, limitations and recommendations. Medical Decision Making 2014;34(3):387-402.

Rutherford MJ, Crowther MJ, Lambert PC. The use of restricted cubic splines to approximate complex hazard functions in the analysis of time-to-event data: a simulation study. Journal of Statistical Computation and Simulation 2014; (In Press).

2013

Crowther MJ, Lambert PC, Abrams KR. Adjusting for measurement error in baseline prognostic biomarkers included in a time-to-event analysis: A joint modelling approach. BMC Medical Research Methodology 2013;13:146.

Crowther MJ, Lambert PC. Simulating biologically plausible complex survival dataStatistics in Medicine 2013;32(23):4118-4134.

Crowther MJ, Lambert PC. stgenreg: A Stata package for general parametric survival analysis. Journal of Statistical Software 2013;53(12).

Crowther MJ, Hinchliffe SR, Donald A, Sutton AJ. Simulation based sample size calculations for designing new clinical trials and diagnostic test accuracy studies to update an existing meta-analysisThe Stata Journal 2013;13(3):451-473.

Hinchliffe SR, Crowther MJ, Phillips RS, Sutton AJ. Using meta-analysis to inform the design of subsequent studies of diagnostic test accuracy. Research Synthesis Methods 2013;4(2):156-168.

Crowther MJ, Abrams KR, Lambert PC. Joint modeling of longitudinal and survival data. The Stata Journal 2013;13(1):165-184.

2012

Crowther MJ, Abrams KR, Lambert PC. Flexible parametric joint modelling of longitudinal and survival dataStatistics in Medicine 2012;31(30):4456-4471.

Ferreira ML, Herbert RD, Crowther MJ, Verhagen A, Sutton AJ. When is a further clinical trial justified? British Medical Journal 2012;345:e5913.

Crowther MJ, Lambert PC. Simulating complex survival data. The Stata Journal 2012;12(4):674-687.

Hinchliffe SR, Rutherford MJ, Crowther MJ, Nelson CP, Lambert PC. Should relative survival be used in the analysis of lung cancer data? British Journal of Cancer 2012;106:1854-1859.

Crowther MJ, Riley RD, Staessen JA, Wang J, Gueyffier F, Lambert PC. Individual patient data meta-analysis of survival data using Poisson regression models. BMC Medical Research Methodology 2012;12:34.

Crowther MJ, Langan D, Sutton AJ. Graphical augmentations to the funnel plot to assess the impact of a new study on an existing meta-analysisThe Stata Journal 2012;12(4):605-622.

Ara R, Blake L, Gray L, Hernandez M, Crowther MJet al. What is the clinical and cost-effectiveness of using drugs in treating obese patients in primary care? A systematic reviewHealth Technology Assessment 2012;16(5).


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