1June 15. 2 In Chapter 17: 17.1 Data [17.2 Risk Difference] [17.3 Hypothesis Test] 17.4 Risk Ratio...
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Transcript of 1June 15. 2 In Chapter 17: 17.1 Data [17.2 Risk Difference] [17.3 Hypothesis Test] 17.4 Risk Ratio...
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In Chapter 17:
17.1 Data
[17.2 Risk Difference]
[17.3 Hypothesis Test]
17.4 Risk Ratio
[17.5 Systematic Sources of Error]
[17.6 Power and Sample Size]
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Data conditions• Binary response variables (“success/failure”)• Binary explanatory variable • Notation:
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Sample Proportions
1
11ˆ
n
ap
2
22ˆ
n
ap
Incidence proportion, exposed group:
Incidence proportion, non-exposed group:
Incidence proportion ≡ average risk
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Example: WHI Estrogen Trial
Random Assignment
Group 1 n1 = 8506
Group 2 n2 = 8102
Estrogen Treatment
Placebo
Compare risks of index disease
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2-by-2 TableDisease+ Disease− Total
Exposure + a1 b1 n1
Exposure − a2 b2 n2
Total m1 m2 N
1
11ˆ
n
ap
2
22ˆ
n
ap
Risk, exposed Risk, non-exposed
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WHI DataD+ D− Total
E+ 751 7755 8506
E- 623 7479 8102
Total 1374 15234 16608
8506
751ˆ1 p
07689.0
08829.0
8102
623ˆ 2 p
Compare these risks
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§17.4 Proportion Ratio (Relative Risk)
• Compare incidences from the two groups in form of a RATIO
• Quantifies effect of the exposure in relative terms
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1
p
pRR
Relative Risk Parameter
Relative Risk Estimator (“RR hat”)
2
1
ˆ
ˆˆp
pRR
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Example: RR (WHI Data)+ − Total
Estrogen + 751 7755 8506
Estrogen − 623 7479 8102
2
1
ˆ
ˆˆp
pRR
08829.08506
751ˆ1 p 07689.0
8102
623ˆ 2 p
07689.0
08829.0 15.11483.1
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Interpretation• When p1 = p2, RR = 1 indicating “no
association”– RR > 1 positive association– RR < 1 negative association
• The RR indicates how much the exposure multiplies the risk over the baseline risk of the non-exposed group– RR of 1.15 suggests risk in exposed group is “1.15
times” that of non-exposed group
• Baseline RR is 1!– Thus, an RR of 1.15 is 0.15 (15%) above the baseline
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Confidence Interval for the RR
ln ≡ natural log, base e
RRSEzRR
eˆln
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ˆln
2211
1111ˆln
wherenanaRR
SE
To derive information about the precision of the estimate, calculate a (1– α)100% CI for the RR with this formula: