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ALLSTAT  1999

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Subject:

response to query

From:

Simon Williams <[log in to unmask]>

Reply-To:

[log in to unmask]

Date:

Mon, 25 Jan 1999 17:02:00 +0000 (GMT Standard Time)

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Hello all,

A few weeks ago i put a question (see below) to the list 
and was pleased recieve so many constructive replies. For a
detail list of the replies please feel free to e-mail me, 
but for now i've just listed the references given to me. I 
would like to thank everyone below, in particular Chris 
Theobald who was kind enough to forward responses to a 
similar question put to the list some time ago.

Hwyl,

Simon


Thanks to:

Dave Reilly
AFS CO., USA

Lesley Wise
The Guy's, King's and St Thomas' School of Medicine, UK

Chris Theobald
University of Edinburgh, UK 

Margaret Corbett
Cambridge, UK

Jay Warner
Warner Consulting, USA

Paul T Seed
Guy's, King's and St. Thomas' School of Medicine, UK

Blaise F Egan
BT Data Mining Consultancy, UK

Martin Bland
St. George's Hospital Medical School, UK

Dr John Whittington
Mediscience Services, UK

Roger Westerbeek
Capital Bank, UK


<<Question posed>>

Three devices were used to record measurements over 'x' 
time points on 'y' number of patients. The first is  blood 
pressure as measured by device A, the second and third are 
blood flow as measured by devices B and C. Device C has 
only an arbitary scale so that a reading of 100 on patient 
A may not have the same 'meaning' as 100 on patient B. 
The response data for each device is in the form of the 
% change from a base reading taken at time t=0.
Their question is:
Do devices 2 & 3 measure the same information? (I'm 
sorry if this sounds a wee bit wooly but that's what's 
they've written. Perhaps what they mean are the results 
produced by the two devices 'comparable' and if so how do 
you go about trying to prove it?)

<<References given>>

Altman & Bland in "Statistician" 1983 vol 32 pp307-317

Armstrong, White & Saracci.  Principles of exposure 
measurement in epidemiology (chapter 4).  Oxford Medical 
Publications, 1992.

Bland JM, Altman DG. Statistical methods for assessing 
agreement between two methods of clinical measurement. 
Lancet 1986;i:307-10

Bland JM, Altman DG. Comparing methods of measurement: why 
plotting difference against standard method is misleading. 
Lancet 1995; 346:1085-7

Bland, J. Martin and Altman, Douglas G.  Statistical 
methods for assessing agreement between two methods of 
clinical measurement. Lancet, 1986;i: 307-310.

"Correlation, regression and repeated data", Bland and 
Altman 1994, BMJ 308: 896

M.J. Cardone (1983). Detection and determination of error 
in analytical methodology. Part I & II. J. Assoc. Off. 
Anal. Chem., 66: 1257-1282 (see section 3.5: Validation of 
alternative assay methods) & 1283-1294.

Dunn, G. (1992). Design and analysis of reliability 
studies. Statistical Methods in Medical Research Volume 1, 
No 2, pp 123-158.

D.J. Finney (1978) Statistical Method in Biological Assay, 
3rd ed., Charles Griffin & co., London.

Fleiss JL.  The design and analysis of clinical experiments 
(chapter 1).  Wiley, 1986.

WA Fuller (1987).Measurement Error Models (Wiley, 1987, 
ISBN 0471861871).

F.E. Grubbs (1973). Errors of measurement, precision, 
accuracy and the statisticalcomparison of measuring 
instruments. Technometrics, 15: 53-66.

RT St Laurent (1998). Evaluating agreement with a gold 
standard in method comparison studies. Biometrics 54, 
537-545.

Lawrence I-Kuei Lin (1989) A Concordance Correlation 
Coefficient to evaluate reproducibility. Biometrics, 45, 
255-268.

Longford, 1995, Models for Uncertainty in Educational 
Testing, Springer-Verlag, Chapter 6).

"Analysis of serial measurements in medical research", 
Matthews, Altman et al 1990, BMJ 300:230-235

H. Passing & W. Bablok (1983/84). A new biometrical 
procedure for testing the equality of measurements from two 
different analytical methods.   Part I & II. J. Clin. Chem. 
Clin. Biochem., 21: 709-720 & 22: 431-445.

Pitman-Morgan approach to checking whether one method has a 
much higher measurement error variance than the other 
(Shukla, Biometrics 29, 1973, 373-377.

'Measurement in Laboratory Medicine' (1995). 
Butterworth-Heinemann, Oxford. ISBN  0 7506 2259 8 
(paperback, about 20 pounds)

----------------------
Simon Williams
Sir Humphry Davy Department of Anaesthesia
Bristol Royal Infirmary
Bristol BS2 8HW
Tel. 0117 9283169
Fax. 0117 9268674
e-mail:- [log in to unmask]






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