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ALLSTAT  1999

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Subject:

JOB: RA in Med Stats @ Leic Univ

From:

"Dr K.R. Abrams" <[log in to unmask]>

Reply-To:

Dr K.R. Abrams

Date:

Thu, 12 Aug 1999 14:15:31 +0100 (BST)

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (114 lines)

I would be very grateful if you could bring the following advert to
the attention of any interested colleagues or MSc/PhD students. 

Brief particulars follow the advert, and further details regarding the
Department of Epidemiology & Public Health may be found at
http://www.prw.le.ac.uk/



                              UNIVERSITY OF LEICESTER


        FACULTY OF MEDICINE and BIOLOGICAL SCIENCES


    DEPARTMENT OF EPIDEMIOLOGY AND PUBLIC HEALTH


                     Research Associate in Statistics (Ref: R9079)

                      RA1A 16,286 to 24,479 pounds sterling pa


Applications are invited for a 2 year post to undertake two projects
involving the meta-analysis of data from clinical trials and other
studies in a paediatric oncology setting.  Candidates should have a
Masters degree in Statistics/Medical Statistics, and good
communication skills. Experience of systematic reviews, meta-analysis
or modelling in a clinical trials or health services research setting
would be an advantage. 

 Informal enquiries can be made to Dr Keith Abrams, Senior Lecturer in 
Medical Statistics, on telephone 0116 252 3217 or e-mail [log in to unmask]

Application forms and further particulars are available from the
Personnel Office (Appointments), 
University of Leicester, 
University Road, Leicester LE1 7RH.  
Tel: (0116) 252 2439. Please quote reference R9079/LM/JAU/AS.

Closing date: 27 August 1999.



~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


                   UNIVERSITY OF LEICESTER

 FACULTY OF MEDICINE and BIOLOGICAL SCIENCES

 DEPARTMENT OF EPIDEMIOLOGY and PUBLIC HEALTH


       RESEARCH ASSOCIATE in STATISTICS


                      Post Particulars

Applications are invited for the post of research associate in
statistics for two years in the Department of Epidemiology and Public
Health. The successful applicant will undertake two projects involving
the meta-analysis of data from clinical trials and other studies in a
paediatric oncology setting.  There will be opportunities to
contribute to methodological developments generated by the projects,
in addition to the training of health service researchers, and the
provision of a general statistical consultancy advice service.
Candidates should have a Masters degree in Statistics/Medical
Statistics and good communication skills. Experience of systematic
reviews, meta-analysis and modelling in a clinical trials or health
services research setting would be an advantage. 


Summary of Duties

1.  Undertake a systematic review and meta-analyses of trials and other
      studies which consider the use of tumour markers in specific
      paediatric oncology settings, this will include conducting
      literature searches, reviewing the material found, conducting
      a series of meta-analyses, and developing a decision model
      under the supervision of a senior statistician and a project
      team.

2.    Undertake a meta-analysis of individual patient data from eight 
        international centres on children with germ cell tumours in
        order to identify important prognostic factors, this will
        include liaison with the centres as regards data
        format/quality, pooling of the data and developing an
        appropriate prognostic model using survival analysis
        techniques, under the supervision of a senior statistician and
        a project team.

3.     Assist in the provision of statistical and statistical computing 
        support to project staff on the above studies.

4.     Assist with the preparation of interim reports and scientific 
        publications.

5.     Contribute to methodological developments appropriate to the above
        projects.

6.     Undertake other reasonable duties as may be assigned by the Head of
        Department.

The postholder will be responsible overall to Dr K Abrams, 
Senior Lecturer in Medical Statistics, but will be required to work
closely with the multi-disciplinary teams attached to each of the
projects.




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