BMJ Statistics Notes series: Difference between revisions

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* [http://bmj.com/cgi/content/full/328/7447/1073  The logrank test] J Martin Bland & Douglas G Altman BMJ 2004 328(7447):1073 (1 May)
* [http://bmj.com/cgi/content/full/328/7447/1073  The logrank test] J Martin Bland & Douglas G Altman BMJ 2004 328(7447):1073 (1 May)
* [http://bmj.com/cgi/content/full/329/7458/168  Diagnostic tests 4: likelihood ratios.] JJ Deeks & Douglas G Altman BMJ 2004 329:168-169
* [http://bmj.com/cgi/content/full/329/7458/168  Diagnostic tests 4: likelihood ratios.] JJ Deeks & Douglas G Altman BMJ 2004 329:168-169
=== 2005 ===
* [http://www.bmj.com/cgi/content/full/331/7521/903 Standard deviations and standard errors] Altman DG, Bland JM; BMJ 2005, PMID: 16223828
* [http://www.bmj.com/cgi/content/full/330/7495/843 Treatment allocation by minimisation] Altman DG, Bland JM; BMJ 2005
=== 2006 ===
=== 2007 ===
! Note these articles are only available to subscriber for 12 months after publication. !
* [http://www.bmj.com/cgi/content/full/334/7590/424 Missing data] Altman DG, Bland JM; BMJ 2007, PMID: 17322261

Latest revision as of 05:45, 23 April 2007

back to stats portal

The statistical notes series is a great series of short articles on statistics for medical researchers. The text is accessible and useful also for biologists. Have a read! And update the list if you come across a new publication in the series. The publisher, BMJ [1], makes the articles publicly available only after 12 months. That means, links to the most recent papers are for subscribers only.

An opinion on the series

Gerard E. Dallal, author of the excellent "Little Handbook of Statistical Practice" [2], says this about the series:

"Perhaps the finest series of short articles on the use of statistics is the occasional series of Statistics Notes started in 1994 by the British Medical Journal. ...

Absence of evidence is not evidence of absence is something every investigator should know, but too few do. Along with Interaction 2: compare effect sizes not P values, these articles describe two of the most common fatal mistakes in manuscripts submitted to research journals. The faulty reasoning leading to these errors is so seductive that papers containing these errors sometimes slip through the reviewing process and misinterpretations of data are published as fact.

Correlation, regression, and repeated data, Calculating correlation coefficients with repeated observations: Part 1--correlation within subjects, and Calculating correlation coefficients with repeated observations: Part 2--correlation between subjects provide an excellent introduction to the subtleties of analyzing repeated measurements on the same subject.

Statistical Notes  publications (in chronological order)

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

! Note these articles are only available to subscriber for 12 months after publication. !