Michael J. Crowther
Research Associate in Medical Statistics
and NIHR Doctoral Research Fellow
CONTACT DETAILS
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
Oral presentations:
Invited
- "An intoduction 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.
National and International Conferences
- "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.
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“Simulating complex survival data.” Stata Nordic and Baltic Users' Group Meeting, Karolinska Institutet, November 2011.
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“Flexible parametric joint modelling of longitudinal and survival data.” Stata UK Users' Group Meeting, Cass Business School, September 2011.
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“Flexible joint modelling of longitudinal and survival data.” International Society for Clinical Biostatistics, Ottawa, August 2011.
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“Individual patient data meta-analyses of survival data using Poisson regression models.” Young Statisticians Meeting, University of Southampton, April 2011.
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“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-.
- Crowther, M. J. and Lambert, P. C. (2013) STGENREG: Stata module to fit general parametric survival models. http://ideas.repec.org/c/boc/bocode/s457579.html
- Crowther, M. J. and Hinchliffe, S. R. (2012) METAPOW: Stata module for simulation based sample size calculations for designing new clinical trials and diagnostic test accuracy studies to update an existing meta-analysis. http://ideas.repec.org/c/boc/bocode/s457488.html
- Crowther, M. J. (2012) STJMGRAPH: Stata module to create a joint longitudinal and survival graph.
http://ideas.repec.org/c/boc/bocode/s457343.html - Crowther, M. J. (2012) STJM: Stata module to fit shared parameter joint models of longitudinal and survival data. http://econpapers.repec.org/software/bocbocode/s457502.htm
- Crowther, M. J. and Lambert, P. C. (2011) STMIX: Stata module to fit two-component parametric mixture survival models. http://ideas.repec.org/c/boc/bocode/s457339.html
- Crowther, M. J. (2011) SURVSIM: Stata module to simulate complex survival data.
http://ideas.repec.org/c/boc/bocode/s457317.html - Crowther, M. J. (2011) EXTFUNNEL: Stata module to produce graphical augmentations to the funnel plot to indicate the potential impact of a new study on an existing meta-analysis.
http://ideas.repec.org/c/boc/bocode/s457316.html
PUBLICATIONS
2013
Crowther MJ and Lambert PC. Simulating biologically plausible complex survival data. Statistics in Medicine 2013; (In Press).
Crowther MJ and Lambert PC. stgenreg: A Stata package for general parametric survival analysis. Journal of Statistical Software 2013; (In Press).
Crowther MJ, Hinchliffe SR, Donald A and Sutton AJ. Simulation based sample size calculations for designing new clinical trials and diagnostic test accuracy studies to update an existing meta-analysis. The Stata Journal 2013; (In Press).
Hinchliffe SR, Crowther MJ, Phillips RS and Sutton AJ. Using meta-analysis to inform the design of subsequent studies of diagnostic test accuracy. Research Synthesis Methods 2013; (In Press).
Crowther MJ, Abrams KR and Lambert PC. Joint modelling of longitudinal and survival data. The Stata Journal 2013;13(1):165-184.
2012
Crowther MJ, Abrams KR and Lambert PC. Flexible parametric joint modelling of longitudinal and survival data. Statistics in Medicine 2012;31(30):4456-4471.
Ferreira ML, Herbert RD, Crowther MJ, Verhagen A and Sutton AJ. When is a further clinical trial justified? British Medical Journal 2012;345:e5913.
Crowther MJ and Lambert PC. Simulating complex survival data. The Stata Journal 2012;12(4):674-687.
Hinchliffe SR, Rutherford MJ, Crowther MJ, Nelson CP and 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 and 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 and Sutton AJ. Graphical augmentations to the funnel plot to assess the impact of a new study on an existing meta-analysis. The Stata Journal 2012;12(4):605-622.
Ara R, Blake L, Gray L, Hernandez M, Crowther MJ, et al. What is the clinical and cost-effectiveness of using drugs in treating obese patients in primary care? A systematic review. Health Technology Assessment 2012;16(5).
