Adjusted Rates
-
Direct Standardization
Population A
50,000 people
4,000 cancer deaths in a year
crude rate = 800 per 10,000
Population B
52,000 people
5,080 cancer deaths in a year
crude rate = 977 per 10,000
Population B has a higher crude rate.
Does this mean that the risk of cancer death is greater in “B”?
Are there greater environmental risks in “B”?
Overall rates, e.g., obtained by dividing total
cancer deaths by total population.
Crude Rates
Age Deaths
Pop.
Rate /10,000
Deaths
Pop.
Rate /10,000
30-39 400 10,000 400 80 2,000 400
40-49 600 10,000 600 300 5,000 600
50-59 800 10,000 800 800 10,000 800
60-69 1,000 10,000 1,000 1,500 15,000 1,000
70-79 1,200 10,000 1,200 2,400 20,000 1,200
Totals 4,000 50,000 800
(crude)
5,080 52,000 977
(crude)
Population “A” Population “B”
• Is it riskier to live in population “B”?
• Why are the overall (crude) death rates different?
/ /
Age-Specific Rates
Pop. B
Pop. A
Age
Age
Age is an additional factor that
is affecting the comparison.
Confounding Effect of Age
(Wgt.) Rate (Wgt.) Rate
Age Pop. % Deaths /10k Pop. % Deaths /10k
30-39 10,000 20% 400 400 2,000 3.85% 80 400
40-49 10,000 20% 600 600 5,000 9.62% 300 600
50-59 10,000 20% 800 800 10,000 19.23% 800 800
60-69 10,000 20% 1,000 1,000 15,000 28.85% 1,500 1,000
70-79 10,000 20% 1,200 1,200 20,000 38.46% 2,400 1,200
50,000 4,000 52,000 5,080 Crude rate - 4,000/50,000 = 800/10,000
Crude rate = 5,080/52,000 = 977/10,000
A Crude Rate Is a Weighted Average
of Age-Specific Rates
Young Old Young Old
(Wgt.) Rate (Wgt.) Rate
Age Pop. % Deaths /10k Pop. % Deaths /10k
30-39 10,000 20% 400 400 2,000 3.85% 80 400
40-49 10,000 20% 600 600 5,000 9.62% 300 600
50-59 10,000 20% 800 800 10,000 19.23% 800 800
60-69 10,000 20% 1,000 1,000 15,000 28.85% 1,500 1,000
70-79 10,000 20% 1,200 1,200 20,000 38.46% 2,400 1,200
50,000 4,000 52,000 5,080 Crude rate - 4,000/50,000 = 800/10,000 Crude rate = 5,080/52,000 = 977/10,000
.20 x 400 = 80 .0385 x 400 = 15.40
.20 x 600 = 120 .0962 x 600 = 57.72
.20 x 800 = 160 .1923 x 800 = 153.84
.20 x 1,000 = 200 .2885 x 1,000 = 288.50
.20 x 1,200 = 240 .3846 x 1,200 = 461.52
SUM 800 SUM 977
The crude rate is weighted by the age distribution.
Crude Rate: A Weighted Average of Age-Specific Rates
How would the overall cancer mortality rates
compare if the age distributions were the same?
What if two populations have different age
distributions and age affects the cancer rate …?
The Real Question
If populations being compared have different distributions
with respect to age, or other factors, …one can calculate
adjusted rates that take into account differences in the
structure of the populations being compared.
The adjusted rates artificially make the two populations
have identical distributions of the confounder (age, race,
gender, etc.).
Basically, we ask the question, “What if the population
distributions were (weighted) the same with respect to the
confounder? Then, how would the rates compare?
Adjustment (Standardization)
“I don’t know about this Florida thing. All I know is
that I had two perfectly healthy 65 year old parents.
They move down to Florida and then, bang, thirty
years later they’re dead.
I don’t know … do you think it’s something in the air
or the water down there?”
Comedian Robert Klein:
Florida Alaska
Number of deaths 131,902 2,116
Total population 12,340,000 530,000
Crude mortality rate
\(per 100,000) 1,069 399
The crude rates are clearly different.
Does this mean that it is riskier to live in Florida?
If you are about to retire, would it be better to
move to Alaska?
Death Rates In Florida & Alaska
Florida % of total Rate per Alaska % of total Rate per
Age Pop. (Weight) 100,000 Pop. (Weight) 100,000
<5 850,000 7% 284 60,000 11% 274
5-19 2,280,000 18% 57 130,000 25% 65
20-44 4,410,000 36% 198 240,000 45% 188
45-64 2,600,000 21% 815 80,000 15% 629
>65 2,200,000 18% 4,425 20,000 4% 4,350
Totals 12,340,000 100% 530,000 100%
Florida Alaska
Crude mortality rates
(per 100,000) 1,069 399
The crude rates are very different, but crude rates are
weighted averages of the age-specific rates, and Florida’s
population is weighted more heavily with older people.
The comparison is confounded by age differences.
This contributes 18%
to the overall rate.
Note: The Age-Specific Rates are Similar
The Solution: use each population’s actual
age-specific rates, but calculate a summary
rate using a single (standard) age distribution
(i.e. artificially weight them the same with
respect to age distribution.)
This is adjustment by Direct standardization.
The “adjusted” rates are artificial, but they
provide summary rates that can be compared
without confounding by age differences.
Direct Standardization
.07 x 284 = 19.88 .07 x 274 = 19.18
.18 x 57 = 10.26 .18 x 65 = 11.70
.36 x 198 = 71.28 .36 x 188 = 67.68
.21 x 815 = 171.15 .21 x 629 = 132.09
.18 x 4,425 = 796.50 .18 x 4,350 = 783.00
SUM 1,069/ 100,000 pop. SUM 1,014/ 100,000 pop.
Florida % of total Rate per Alaska % of total Rate per
Age Pop. (Weight) 100,000 Pop. (Weight) 100,000
<5 850,000 7% 284 60,000 11% 274
5-19 2,280,000 18% 57 130,000 25% 65
20-44 4,410,000 36% 198 240,000 45% 188
45-64 2,600,000 21% 815 80,000 15% 629
>65 2,200,000 18% 4,425 20,000 4% 4,350
Totals 12,340,000 100% 530,000 100%
Florida As
The Standard:
(Age-adjusted)
Adjusted Mortality Rates (#1)
Average of Florida & Alaska
Distributions as the Standard:
Florida Alaska
Age % Pop. % Pop. Average
<5 7% 11% (9.0%)
5-19 18% 25% (21.5%)
20-44 36% 45% (40.5%)
45-64 21% 15% (18.0%)
>65 18% 4% (11.0%)
100% 100% 100%
Weight Rate Weight Rate
.090 x 284 = 25.56 .090 x 274 = 24.66
.215 x 57 = 12.26 .215 x 65 = 13.98
.405 x 198 = 80.19 .405 x 188 = 76.14
.180 x 815 = 146.70 .180 x 629 = 113.22
.110 x 4,425 = 486.75 .110 x 4,350 = 478.50
SUM 751/ 100,000 pop. SUM 707/ 100,000 pop.
Age-adjusted
Adjusted Mortality Rates (#2)
1988 U.S. Population
as the Standard:
Florida Alaska
Age % Pop. % Pop. 1988 U.S.
<5 7% 11% (7%)
5-19 18% 25% (22%)
20-44 36% 45% (40%)
45-64 21% 15% (19%)
>65 18% 4% (12%)
100% 100% 100%
Weight Rate Weight Rate
.07 x 284 = 19.88 .07 x 274 = 19.18
.22 x 57 = 12.54 .22 x 65 = 14.30
.40 x 198 = 79.20 .40 x 188 = 75.20
.19 x 815 = 154.85 .19 x 629 = 119.51
.12 x 4,425 = 531.00 .12 x 4,350 = 522.00
SUM 797/ 100,000 pop. SUM 750/ 100,000 pop.
Adjusted Mortality Rates (#3)
• Provides summary rates (all ages) that remove the
unwanted effects of differences in the distributions of
confounders in the populations. However, the adjusted
rates are not real. (Only good for comparison.)
• Standardization doesn’t always make the two rates more
similar (can be more different or no difference).
• It just allows a fairer comparison after ironing out some of
the “other” differences that might be exaggerating or
masking differences between the populations.
• Direct standardization may involve more than 2 groups.
Adjustment By Direct Standardization
Was there confounding by age?
• Look at the crude rates. • Look at the adjusted rates. • How is the comparison affected by adjusting
for a factor, such as age?
• Are the apparent differences greater or smaller? Did age differences exaggerate
differences between the two groups? Did age differences mask differences
between the groups?
Death Rates in Weymouth vs. Woburn
0
200
400
600
800
0
200
400
600
800
Crude
Adjusted
Weymouth Woburn
Crude: 250/10,000 vs. 750/10,000
Age
Adjusted: 376/10,000 vs. 383/10,000
What is your interpretation?
Did age differences have a confounding effect?
Were the populations different after adjusting for age?
#1 Compare The Crude & Adjusted Rates
0
200
400
600
800
0
200
400
600
800
Crude
Adjusted
Weymouth Woburn
Crude: 250/10,000 vs. 750/10,000
Adjusted: 376/10,000 vs. 512/10,000
#2
What is your interpretation?
Did age differences have a confounding effect?
Were the populations different after adjusting for age?
Compare The Crude & Adjusted Rates
Weymouth Woburn
0
200
400
600
800
0
200
400
600
800
Crude
Adjusted
Crude: 250/10,000 vs. 750/10,000
Adjusted: 306/10,000 vs. 813/10,000
Crude
Adjusted
#3
What is your interpretation?
Did age differences have a confounding effect?
Were the populations different after adjusting for age?
Compare The Crude & Adjusted Rates
Crude: 250/10,000 vs. 266/10,000
Adjusted: 276/10,000 vs. 450/10,000
Weymouth Woburn
0
200
400
600
800
0
200
400
600
800
Crude
Adjusted
#4
What is your interpretation?
Did age differences have a confounding effect?
Were the populations different after adjusting for age?
Compare The Crude & Adjusted Rates
Age-adjusted to the 2000 U.S. standard population
1,050
813
617
452
Black non- Hispanic
White non- Hispanic
Hispanic Asian/PI
0
200
400
600
800
1,000
1,200 A
ge-a
dju
ste
d r
ate
/100,0
00
Age-adjusted Mortality Rates
by Race & Ethnicity, MA 2001
Heart Disease Death Rates
by Race & Gender, MA
Rates are age-adjusted (direct method using the 1940 US population.
1980 1985
1990 1992
It’s The Same Population,
But At Multiple Times
(It’s Like Comparing
Multiple Populations)