Literature DB >> 2244076

Who should teach medical statistics, when, how and where should it be taught?

A D Clayden1.   

Abstract

As far as we can tell, there is no single answer to any of these questions. This paper describes some of the approaches adopted in the teaching of medical statistics in the U.K. medical schools. It is suggested that collaboration between non-statistically qualified teachers and medical statisticians is beneficial, with an emphasis in the application of statistical principles to interesting and 'relevant' medical topics. A block of 'laboratory based' teaching in the early years may be followed by occasional, clinically focused sessions later in the undergraduate course. Research oriented courses, made available when postgraduates have a real and pressing need for information, are thought likely to be most valuable and rewarding for students and statisticians. It is thought that the use of information technology to improve the communication of concepts and 'facts' during lectures, and for ad hoc enquiries by students, is likely to make the most of the limited teaching resources. The future is thought to be in the greater use of small group or individualized teaching which confirms or tests the knowledge gained from students use of I.T. supported activities. Unless lecturers collaborate in evaluative studies which compare different teaching methods, it will never be possible to provide valid generalizable advice to teachers of medical statistics.

Mesh:

Year:  1990        PMID: 2244076     DOI: 10.1002/sim.4780090906

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  2 in total

1.  Statistics teaching in medical school: opinions of practising doctors.

Authors:  Susan Miles; Gill M Price; Louise Swift; Lee Shepstone; Sam J Leinster
Journal:  BMC Med Educ       Date:  2010-11-04       Impact factor: 2.463

Review 2.  Cognition of and Demand for Education and Teaching in Medical Statistics in China: A Systematic Review and Meta-Analysis.

Authors:  Yazhou Wu; Liang Zhou; Gaoming Li; Dali Yi; Xiaojiao Wu; Xiaoyu Liu; Yanqi Zhang; Ling Liu; Dong Yi
Journal:  PLoS One       Date:  2015-06-08       Impact factor: 3.240

  2 in total

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