Projects
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I am currently offering to supervise the following M.Sc. dissertations:
Potential M.Sc. Projects
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Approximate Bayesian methods
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You can concentrate on theory or on practical problems,
and may investigate any or all of: Markov chain Monte Carlo,
numerical integration, asymptotic methods.
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Bayesian survival analysis
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There have been many different suggestions for Bayesian analysis
of survival data (e.g. using time-series methods, splines,
or simply priors added on to standard classical models).
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Bootstrapping in S
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You can use existing S functions
(e.g. those by Efron & Tibshirani),
and also create your own.
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Statistics using 'J'
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See if my description of
J interests you -
it is a powerful modern computer language,
that lets one develop new ideas quickly.
This project will involve your using J in any way you choose
to attack any statistical problem(s) you choose.
Other topics may be available by negotiation!
The following dissertations I have supervised
might give you some ideas.
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1999 M.Sc. Dissertations
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'Sequential Methods in Clinical Trials: Frequentist and Bayesian Approaches',
Jutta Schraft.
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1998 M.Sc. Dissertations
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'Current Trends on Assessing Survival Models
With Special Focus on Graphical Diagnostics',
Stella Myronaki.
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1997 M.Sc. Dissertations
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'A Comparison of Several Bayesian and Non-Bayesian Methods of Inference
Applied to the Achcar (1984) Cancer Patient Survival Data",
Nicholas R. Parsons.
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1996 M.Sc. Dissertations
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'A Study on Veteran's Lung Cancer Data',
Dilhari Attygale,
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'The Bootstrap and the Wild Bootstrap in S',
Axel Krebs,
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'Bayesian Reliability Analysis: A Review and Current Trends',
Ana Turrent.
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1995 M.Sc. Dissertations
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'The Analysis of Survival Data with Several End-Points',
Sally Hunt,
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'Survival Modeling and Analysis of Stanford Heart Data',
Maria Economou.
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Some pre-1995 M.Sc. Dissertations
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'An Analysis of the Survival of a Group of Patients
with Cancer of the Larynx',
Chris C. McConkey, 1992.
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'A Multi-Process Approach to the Simple Power Steady Model',
Ching-Yi Hsia, 1991.
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'Bayesian Statistics: Models, Applications and Tools',
Klaus Petersen, 1990.
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'Survival Models and Data Analysis: A GLIM Oriented Approach',
Theodore Christodoulou, 1989.
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Undergraduate Projects currently being supervised by JEHS
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Topics in mixture analysis (4th year).
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The effects of drinking and smoking on mortality rates (3rd year).
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Statistics in medicine (2nd year).
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Other Post-1995 Undergraduate Projects
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Graphical models for expert systems.
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Analysis of various biomedical data-sets.
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Simulating strategies for winning at blackjack.
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History of descriptive statistical methods.
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An investigation into the relationship between lung cancer
and keeping pet birds.
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A simulation study of compartmental modelling.
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Some pre-1995 Undergraduate Projects
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Study of UK crime data.
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Splines in statistics.
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Analysis of a large medical data set on 'glue ear' in children.
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Development of an improved snooker ranking system.
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Survey of leukaemia incidence near nuclear installations.
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APL programming for survival analysis.
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The outcome of any serious research can only be to make two questions
grow where only one grew before.
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Thorstein Veblen.
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Basic research is like shooting an arrow in the air and,
where it lands, painting a target.
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Homer Adkins,
Nature 312 (1984): 212
This page is maintained by
J.E.H.Shaw@warwick.ac.uk.