2. Interpretation of DQASS reports
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Transcript of 2. Interpretation of DQASS reports
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Interpretation of DQASS reports
Crude and standardised SPR
Confidence intervals • For SPR • For MoM values • The importance of sample
size • Practical session • The need to look at
CUSUM charts
Flags for markers
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CONFIDENCE
INTERVALS
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Confidence for screen positive rates
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Confidence for MoM values
MoM values should be centred on 1.0 when viewed together, by gestation, by weight, by smoking status, by ethnicity … Small deviations from this target can have important implications for screening
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Confidence Intervals
• Confidence intervals are used extensively in DQASS reports for screen positive rates, median MoM values and other unknown parameters
• A confidence is an interval that contains the truth with a specific level of confidence (usually 95%)
• If a confidence interval for a median MoM value includes 1, there is little evidence to conclude that the (true) median MoM differs from 1
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Confidence Intervals
• A confidence is an interval that contains the truth at a specific level of confidence (usually 95%)
TRUTH
×
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The importance of sample size
Med
ian
Mo
M
0.80
0.85
0.90
0.95
1.00
1.05
1.10
1.15
1.20 n = 50
n = 100
n = 200n = 300
n = 400 n = 500
n = 50
n = 100
n = 200n = 300
n = 400 n = 500
Larger samples More precise estimates Shorter confidence intervals
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Practical Session M
ed
ian
Mo
M
0.5
0.6
0.7
0.8
0.9
1.0
1.1
1.2
1.3
1.4
1.5 n = 78 Can substantive biases be ruled out? Is there evidence of substantial bias? What is the direction and magnitude of the bias? How much uncertainty is there? It is always important to check the CUSUM chart to Examine consistency over time.
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Practical Session M
ed
ian
Mo
M
0.5
0.6
0.7
0.8
0.9
1.0
1.1
1.2
1.3
1.4
1.5 n = 78
There is evidence of a substantive positive bias in median MoM values. The estimated median MoM is around 1.25. Due to the limited amount of data, there is considerable uncertainty. The 95% confidence interval rages from just above 1.1 to over 1.4.
As always, CUSUM charts should be inspected for changes over time.
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Why is it important to look at CUSUM charts
-25% first half +20% second half
Med
ian
Mo
M
0.5
0.6
0.7
0.8
0.9
1.0
1.1
1.2
1.3
1.4
1.5
n = 1000
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Why is it important to look at CUSUM charts
20% bias for first 75%, no bias for last 25%.
Med
ian
Mo
M
0.5
0.6
0.7
0.8
0.9
1.0
1.1
1.2
1.3
1.4
1.5
n = 1000
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Flags for marker median MoM – 10% rule
99.13 99.12 99.13 99.14
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Flags for marker median MoM
– 5% rule
99.12 99.13 99.14
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Crude and standardised screen
positive rates
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Monitoring screen positive rates
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225/7736 = 0.029 (2.9%)
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Standardising screen positive rates
• Crude screen positive rate
Proportion of population screened
positive
• Standardised screen positive rate
Proportion of standard population
screened positive
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Combined test
T21 1.8 -2.5% T18/13 0.1 - 0.2% Both 1.8 - 2.5%
Quadruple test
T21 2.5-3.5%
Programme standards for standardised SPR
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Crude screen positive rates
• The crude screen positive rate is important because it relates directly to the particular population
• In general, for a given test, the crude screen positive rate depends on the distribution of maternal ages
• Comparisons of crude screen positive rates for different populations are difficult to interpret because of this dependency on maternal age distribution
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Standardised screen positive rates
• The standardised screen positive rate is the proportion of women that would screen positive for a specified reference maternal age distribution (e.g. the distribution of maternal ages over the three year period 2000-2002)
• Standardised screen positive rates obtained from different populations are comparable with each other
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