Applied Biostatistics, Lecture Notes - Mathematics - 14, Study notes of Mathematical Methods

Comparing the means of small samples

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University of York
Department of Health Sciences
Applied Biostatistics
Exercise: Comparing the means of small samples
Question 1.
It was postulated that the increasing rate of hip fractures among elderly women may be
related to women now having longer femoral necks than in previous generations. 52 x-ray
pictures of hips of elderly women taken in the 1950s were compared to 52 similar pictures
taken in the 1990s. All the x-rays had been taken for routine diagnostic purposes with the
same equipment in the same rheumatology unit (Reid et al. 1994). The following table
appeared :
Mean (standard deviation) dimensions of proximal femur in 52 elderly
white women in New Zealand in 1950s compared with those of 52 in
1990s
Dimension (mm) 1950s 1990s P value
Length of hip axis 124.0 (8.6) 130.5 (8.6) 0.0002
Length of femoral neck 79.4 (7.6) 84.9 (6.3) 0.0001
Width of femoral neck 38.1 (4.1) 38.6 (3.6) 0.49
a) What method could be used to calculate P in this study?
b) What conditions, if any, do the data have to fulfil for the method to be valid?
c) Are they likely to be fulfilled here?
d) From these P values, can we conclude that the length of femoral neck in elderly women
has increased over time?
e) Can we conclude that the width of femoral neck in elderly women has not increased over
time?
Question 2.
Shortly after the grounding of the Braer oil tanker off the Shetland Isles, a study was
conducted to ascertain whether the respiratory tracts of children were being affected by the
crude oil vapour and droplet spray. Peak expiratory flow rate (PEFR) of 44 children ages 5-
12 years was measured twice: three days after the shipwreck and 9 to 12 days after when the
strong smell of oil had abated. Statistical analysis of the paired PEFRs (by Student’s t test for
difference of means for paired samples) showed no significant difference between the two
sets of values (P=0.502) (Crum 1993).
a) What is meant by no significant difference?
b) What is meant by a paired t test?
c) What assumptions are involved and are they likely to be justified here?
d) What can we conclude about the effect of spillage on the respiratory function of
children?
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University of York

Department of Health Sciences

Applied Biostatistics

Exercise: Comparing the means of small samples

Question 1.

It was postulated that the increasing rate of hip fractures among elderly women may be

related to women now having longer femoral necks than in previous generations. 52 x-ray

pictures of hips of elderly women taken in the 1950s were compared to 52 similar pictures

taken in the 1990s. All the x-rays had been taken for routine diagnostic purposes with the

same equipment in the same rheumatology unit (Reid et al. 1994). The following table

appeared :

Mean (standard deviation) dimensions of proximal femur in 52 elderly white women in New Zealand in 1950s compared with those of 52 in 1990s

Dimension (mm) 1950s 1990s P value Length of hip axis 124.0 (8.6) 130.5 (8.6) 0. Length of femoral neck 79.4 (7.6) 84.9 (6.3) 0. Width of femoral neck 38.1 (4.1) 38.6 (3.6) 0.

a) What method could be used to calculate P in this study?

b) What conditions, if any, do the data have to fulfil for the method to be valid?

c) Are they likely to be fulfilled here?

d) From these P values, can we conclude that the length of femoral neck in elderly women

has increased over time?

e) Can we conclude that the width of femoral neck in elderly women has not increased over

time?

Question 2.

Shortly after the grounding of the Braer oil tanker off the Shetland Isles, a study was

conducted to ascertain whether the respiratory tracts of children were being affected by the

crude oil vapour and droplet spray. Peak expiratory flow rate (PEFR) of 44 children ages 5-

12 years was measured twice: three days after the shipwreck and 9 to 12 days after when the

strong smell of oil had abated. Statistical analysis of the paired PEFRs (by Student’s t test for

difference of means for paired samples) showed no significant difference between the two

sets of values (P=0.502) (Crum 1993).

a) What is meant by no significant difference?

b) What is meant by a paired t test?

c) What assumptions are involved and are they likely to be justified here?

d) What can we conclude about the effect of spillage on the respiratory function of

children?

Question 3.

The following table shows the serum cholesterol concentrations of 20 smokers and 20 non-

smokers, matched for age and sex, recruited for a study of glucose response. Statistical

analysis was by two-tailed, unpaired Student’s t test (Facchini et al. 1992).

Cholesterol concentration, mean (SEM) in mmol/l

Smokers Non-smokers t test

Total plasma 4.49 (0.19) 4.48 (0.17) NS Very low density lipoprotein (VLDL) 0.45 (0.06) 0.23 (0.04) P<0. Intermediate density lipoprotein (IDL) 0.18 (0.03) 0.22 (0.04) NS Low density lipoprotein (LDL) 2.72 (0.17) 2.53 (0.13) NS High density lipoprotein (HDL) 1.16 (0.05) 1.51 (0.08) P<0.

a) What is meant by a ‘two-tailed, unpaired Student’s t test’?

b) What conditions must the data satisfy for these t tests to be valid?

c) Are these likely to satisfied here?

d) What extra information could be given in the table?

e) What aspect of the data has been ignored in the analysis?

References

Crum, J.E. (1993) Peak expiratory flow rate in schoolchildren living close to Braer oil spill.

British Medical Journal 307 , 23-4.

Facchini, F.S., Hollenbeck, C.B., Jeppesen, J., Chen, Y.D., and Reaven, G.M. (1992) Insulin

resistance and cigarette smoking. Lancet 339 , 1128-30.

Reid, I.R., Chin, K., Evans, M.C., and Jones, J.G. (1994) Relation between increase in

length of hip axis in older women between 1950s and 1990s and increase in age specific rates

of hip fracture. British Medical Journal 309 , 508-9.

Questions from Martin Bland and Janet Peacock: Statistical Questions in Evidence-based

Medicine , Oxford University Press, Oxford, 2000.