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BMJ Statistical Notes Series List by JM Bland: http://www-users.york ...

BMJ Statistical Notes Series List by JM Bland: http://www-users.york ...

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complete destruction of the femoral head. Blood cultures infection. If the diagnosis is missed or delayed, the con-<br />

grew S auTeUS. His C reactive protein peaked at 122 sequences are serious: the joint destruction may<br />

mg/!. The hip was drained surgically of large amounts of preclude successful arthroplasty or, perhaps worse, a<br />

pus, culture of which grew S aureus and Proteus mirabi- hip replacement may be inserted into an unrecognised<br />

lis. He ~as treated with a prolonged course of high dose septic environment.<br />

antibiotics, with some clinical improvement but The most userJl non-specific tests seem to be the<br />

continuing poor mobility. erythrocyte sedimentation rate and measurement of C .<br />

n an ..~e~ctive ?ro~ein; the single most useful specific test is ~<br />

Her DIscussion Jomt asplranon and culture. .<br />

first These patients were all elderly and had pre-existing We recommend consideration of septic arthritis in<br />

ng/l. osteoarthritis and concurrent infection elsewhere. any patient with an apparently acute exacerbation of an<br />

pus None, however, had other systemic conditions predis- osteoarthritic joint, particularly if there is a possibility of<br />

nar'y posing to infection, such as diabetes, except for the sec- coexistent infection elsewhere. Other possible nonayed<br />

ond patient, who had a myeloproliferative disorder. The infective causes of a rapid deterioration in symptoms<br />

,ated development of septic arthritis <strong>by</strong> haematogenous include pseudogout and avascular necrosis, and these<br />

was spread was associated with increasing hip pain and will also need to be considered.<br />

: she rapid destruction of the femoral head. This was accom- Funding: None.<br />

1 few<br />

panied <strong>by</strong> a delay in diagnosis of up to six months.<br />

Infection in the presence of existing inflammatory<br />

Conflict ofinterest:None.<br />

ldio- joint disease, particularly rheumatoid arthritis, is well<br />

mtis known,' It is much rarer to see this in association with I Gardner GC, Weisman MH. Pyarthrosis in patients with rhewnatoid<br />

ISIng the much commoner osteoarthrins, although It IS<br />

arthritis,<br />

40 years.<br />

a<br />

Am<strong>JM</strong>ed<br />

report of<br />

1990;88:503-11.<br />

13 cases and a review of the literature from the past<br />

ttage<br />

mm<br />

recognised! In common with other bone and joint<br />

. m fi ectlOnS, . th e presentanon . 0 f sepnc . ar thr InS " has 2 Goldenberg DL, Cohen AS. Acute infectious arthritis. Am J Med<br />

3 Vincent 1976;60:369-77. GM, Amirault )D. Septic arthritis in the elderly. Chn Orthop<br />

)fhis<br />

with<br />

changed in recent years from the usual florid illness. 1991;251:241-5.<br />

leral<br />

atec-<br />

:rred .<br />

Statistics <strong>Notes</strong><br />

..<br />

Measurement error and correlation coefficients<br />

J Martin <strong>Bland</strong>, Douglas G Altman<br />

This is the 22nd in a series of Measurement error is the variation between measure- natural approach when investigating measurement error,<br />

occasional notes on medical ments of the same quantity on the same individual.! To this will inflate the correlation coefficient,<br />

statistics quantify measurement error we need repeated measure- The correlation coefficient between repeated measments<br />

on several subjects. We have discussed the urements is often called the reliability of the<br />

f within-subject standard deviation as an index of measurement method, It is widely used in the validation<br />

~ measurement error,! which we like as it has a simple of psychological measures such as scales of anxiety and<br />

( CliniCal interpretation. Here we consider the use of cor- depression, where it is known as the test-retest reliabilrelation<br />

coefficients to quantify measurement error, ity,ln such studies it is quoted for different populations<br />

1 A common design for the investigation of measurement (university students, psychiatric outpatients, etc)<br />

;teo- " error is to take pairs of measurements on a group of sub- because the correlation coefficient differs between them<br />

' . I<br />

jects, as in table 1. When we have pairs of observations it is as a result of differing ranges of the quantity being<br />

natural to plot one measurement against the other, The measured, The user has to select the correlation from<br />

resulting scatter diagram (see figure 1) may tempt us to the study population most like the user's own.<br />

Departm~nt of Public<br />

Healtb Sciences,<br />

S t G ~orge ' s H osp i t al<br />

calculate a correlation coefficient between the first and<br />

second measurement. There are difficulties in interpreting<br />

thi 1 . ffi . In al th 1 .<br />

between s corre repeated anon coe measurements Clent. gener, will depend e corre on anon the<br />

Another problem with the use of the correlation coefficient<br />

between the first and second measurements is<br />

Table 1-Pairs of measurements of FEV 1 (Htres) a few<br />

Medical School, London variability between sub'ects. Samples containing subjects weeks apart from 20 Scottish schoolchildren, .tak~n from<br />

SW17 ORE<br />

J Martin <strong>Bland</strong>, professor of<br />

h<br />

W 0<br />

A,a- tl<br />

UL1Ler grea y<br />

will J .<br />

pro duce 1arger corre 1 anon .a larger study (0 Strachan, personal communication)<br />

medical statistics coefficients than will samples containing similar subjects'<br />

ICRF M d 1 S .,<br />

e lca tatlstlcs<br />

For example, suppose we split<br />

...easuremen<br />

this group m whom we have<br />

measured forced expiratory volume m one second (FEV J<br />

S b. u Jec<br />

I<br />

No<br />

M<br />

1 sl<br />

I<br />

2nd<br />

S<br />

u b.<br />

No Jec<br />

Measuremen I<br />

1 sl 2nd<br />

Group, Centre for into two subsamples, the first 10 subjects and the second<br />

Statistics in Medicine, 10 subjects. As table 1 is ordered <strong>by</strong> the first FEV I 1 1.19 1.37 11 1.54 1.57<br />

In~titute ofHealtb measurement, both subsamples vary less than does the 2 1.33 1.32 12 1.59 1.60<br />

ScIences, PO Box 777,<br />

Oxford OX3 7LF whole sample.<br />

Th<br />

e corre<br />

1 .<br />

anon<br />

fi<br />

or<br />

th firs<br />

e<br />

b<br />

t su samp<br />

1 .3<br />

e IS 4<br />

1.35<br />

1.36<br />

1.40<br />

1.25<br />

13<br />

14<br />

1.61<br />

1.61<br />

1.53<br />

1.61<br />

DougiasGAInnanhead r=0.63andfortheseconditisr=0.31,bothlessthan 5 1.36 1.29 15 1.62 1.68<br />

, r= 0.77 for the full sample. The correlation coefficient 6 1.38 1.37 16 1.78 1.76<br />

Correspondence to: thus depends on the way the sample is chosen, and it has 7 1.38 1.40 17 1.80 1.82<br />

Professor <strong>Bland</strong>. meaning only for the population from which the stUdY: ~::~ ~:~:~: ~:: ~:~~ l<br />

subjects can be regarded as a random sample. If we select 10 1.431.51 20 2.102.20 l<br />

EMJ 1996;313:41-2 subjects to give a wide range of the measurement, the Ii<br />

8M] VOLUME313 6 JULy 1996 41 H<br />

I<br />

i<br />

I<br />

i

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