A.1. Analysis of Stratum-level when respondent sample size is 7,168
Total | 7,168 |
|
|
|
|
|
|
|
|
|
|
|
|
Sex by Prevalence |
|||||||||||||
0.1 |
0.2 |
0.3 |
0.4 |
0.5 |
|||||||||
Age |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Min |
Max |
|
18–29 |
1.47% |
1.57% |
1.95% |
2.09% |
2.24% |
2.39% |
2.39% |
2.56% |
2.44% |
2.61% |
1.47% |
2.61% |
|
30–44 |
1.78% |
1.80% |
2.38% |
2.40% |
2.73% |
2.75% |
2.91% |
2.94% |
2.97% |
3.00% |
1.78% |
3.00% |
|
45–59 |
2.51% |
2.35% |
3.35% |
3.13% |
3.84% |
3.59% |
4.10% |
3.83% |
4.19% |
3.91% |
2.35% |
4.19% |
|
60+ |
3.00% |
2.82% |
4.00% |
3.76% |
4.58% |
4.30% |
4.90% |
4.60% |
5.00% |
4.69% |
|||
Min |
1.47% |
1.57% |
1.95% |
2.09% |
2.24% |
2.39% |
2.39% |
2.56% |
2.44% |
2.61% |
0.00% |
Overall Min |
|
Max |
2.51% |
2.35% |
3.35% |
3.13% |
3.84% |
3.59% |
4.10% |
3.83% |
4.19% |
3.91% |
4.19% |
Overall Max |
|
Summary statements for base sample size of 7,168 |
With an overall base sample size of 7,168, the maximum we will see estimating prevalences from 10% to 50% for each of four age and two sex categories is 4.19%. Assuming eligibility rates of 50% and response rates of 30%, the effective sample size is 47,787. If the active number rate is 20%, the number of MPNs that will need to be dialed is 238,935. |
A.2. Analysis of Stratum-level when respondent sample size is 8,960
Total |
8,960 |
|
|
|
|
|
|
|
|
|
|
|
|
Sex by Prevalence |
|||||||||||||
0.1 |
0.2 |
0.3 |
0.4 |
0.5 |
|||||||||
Age |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Min |
Max |
|
18–29 |
1.31% |
1.40% |
1.75% |
1.87% |
2.00% |
2.14% |
2.14% |
2.29% |
2.19% |
2.33% |
1.31% |
2.33% |
|
30–44 |
1.60% |
1.61% |
2.13% |
2.14% |
2.44% |
2.46% |
2.61% |
2.63% |
2.66% |
2.68% |
1.60% |
2.68% |
|
45–59 |
2.25% |
2.10% |
3.00% |
2.80% |
3.43% |
3.21% |
3.67% |
3.43% |
3.75% |
3.50% |
2.10% |
3.75% |
|
60+ |
2.68% |
2.52% |
3.58% |
3.36% |
4.10% |
3.85% |
4.38% |
4.11% |
4.47% |
4.20% |
|||
Min |
1.31% |
1.40% |
1.75% |
1.87% |
2.00% |
2.14% |
2.14% |
2.29% |
2.19% |
2.33% |
0.00% |
|
Overall Min |
Max |
2.25% |
2.10% |
3.00% |
2.80% |
3.43% |
3.21% |
3.67% |
3.43% |
3.75% |
3.50% |
|
3.75% |
Overall Max |
Summary statements for base sample size of 8,960 |
With an overall base sample size of 8,960, the maximum we will see estimating prevalences from 10% to 50% for each of four age and two sex categories is 3.75%. Assuming eligibility rates of 50% and response rates of 30%, the effective sample size is 59,734. If the active number rate is 20%, the number of MPNs that will need to be dialed is 298,670. |
A.3. Analysis of Stratum-level when respondent sample size is 12,544
Total |
12,544 |
|
|
|
|
|
|
|
|
|
|
|
|
Sex by Prevalence |
|||||||||||||
0.1 |
0.2 |
0.3 |
0.4 |
0.5 |
|||||||||
Age |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Min |
Max |
|
18–29 |
1.11% |
1.18% |
1.48% |
1.58% |
1.69% |
1.81% |
1.81% |
1.93% |
1.85% |
1.97% |
1.11% |
1.97% |
|
30–44 |
1.35% |
1.36% |
1.80% |
1.81% |
2.06% |
2.08% |
2.20% |
2.22% |
2.25% |
2.26% |
1.35% |
2.26% |
|
45–59 |
1.90% |
1.77% |
2.53% |
2.37% |
2.90% |
2.71% |
3.10% |
2.90% |
3.17% |
2.96% |
1.77% |
3.17% |
|
60+ |
2.27% |
2.13% |
3.02% |
2.84% |
3.46% |
3.25% |
3.70% |
3.48% |
3.78% |
3.55% |
|||
Min |
1.11% |
1.18% |
1.48% |
1.58% |
1.69% |
1.81% |
1.81% |
1.93% |
1.85% |
1.97% |
0.00% |
|
Overall Min |
Max |
1.90% |
1.77% |
2.53% |
2.37% |
2.90% |
2.71% |
3.10% |
2.90% |
3.17% |
2.96% |
|
3.17% |
Overall Max |
Summary statements for base sample size of 12,544 |
With an overall base sample size of 12,544, the maximum we will see estimating prevalences from 10% to 50% for each of four age and two sex categories is 3.17%. Assuming eligibility rates of 50% and response rates of 30%, the effective sample size is 83,627. If the active number rate is 20%, the number of MPNs that will need to be dialed is 418,135. |
A.4. Analysis of Stratum-level when respondent sample size is 5,000
Total |
5,000 |
|
|
|
|
|
|
|
|
|
|
|
|
Sex by Prevalence |
|||||||||||||
0.1 |
0.2 |
0.3 |
0.4 |
0.5 |
|||||||||
Age |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Min |
Max |
|
18–29 |
1.76% |
1.88% |
2.34% |
2.50% |
2.68% |
2.86% |
2.87% |
3.06% |
2.93% |
3.13% |
1.76% |
3.13% |
|
30–44 |
2.14% |
2.15% |
2.85% |
2.87% |
3.26% |
3.29% |
3.49% |
3.51% |
3.56% |
3.59% |
2.14% |
3.59% |
|
45–59 |
3.01% |
2.81% |
4.01% |
3.75% |
4.60% |
4.29% |
4.91% |
4.59% |
5.01% |
4.69% |
2.81% |
5.01% |
|
60+ |
3.59% |
3.37% |
4.79% |
4.50% |
5.49% |
5.15% |
5.87% |
5.51% |
5.99% |
5.62% |
|||
Min |
1.76% |
1.88% |
2.34% |
2.50% |
2.68% |
2.86% |
2.87% |
3.06% |
2.93% |
3.13% |
0.00% |
|
Overall Min |
Max |
3.01% |
2.81% |
4.01% |
3.75% |
4.60% |
4.29% |
4.91% |
4.59% |
5.01% |
4.69% |
|
5.01% |
Overall Max |
Summary statements for base sample size of 5,000 |
With an overall base sample size of 5,000, the maximum we will see estimating prevalences from 10% to 50% for each of four age and two sex categories is 5.01%. Assuming eligibility rates of 50% and response rates of 30%, the effective sample size is 33,334. If the active number rate is 20%, the number of MPNs that will need to be dialed is 166,670. |
A.5. Analysis of Stratum-level when respondent sample size is 7,000
Total |
7,000 |
|
|
|
|
|
|
|
|
|
|
|
|
Sex by Prevalence |
|||||||||||||
0.1 |
0.2 |
0.3 |
0.4 |
0.5 |
|||||||||
Age |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Min |
Max |
|
18–29 |
1.48% |
1.59% |
1.98% |
2.11% |
2.27% |
2.42% |
2.42% |
2.59% |
2.47% |
2.64% |
1.48% |
2.64% |
|
30–44 |
1.81% |
1.82% |
2.41% |
2.43% |
2.76% |
2.78% |
2.95% |
2.97% |
3.01% |
3.03% |
1.81% |
3.03% |
|
45–59 |
2.54% |
2.38% |
3.39% |
3.17% |
3.88% |
3.63% |
4.15% |
3.88% |
4.24% |
3.96% |
2.38% |
4.24% |
|
60+ |
3.04% |
2.85% |
4.05% |
3.80% |
4.64% |
4.35% |
4.96% |
4.65% |
5.06% |
4.75% |
|||
Min |
1.48% |
1.59% |
1.98% |
2.11% |
2.27% |
2.42% |
2.42% |
2.59% |
2.47% |
2.64% |
0.00% |
|
Overall Min |
Max |
2.54% |
2.38% |
3.39% |
3.17% |
3.88% |
3.63% |
4.15% |
3.88% |
4.24% |
3.96% |
|
4.24% |
Overall Max |
Summary statements for base sample size of 7,000 |
With an overall base sample size of 7,000, the maximum we will see estimating prevalences from 10% to 50% for each of four age and two sex categories is 4.24%. Assuming eligibility rates of 50% and response rates of 30%, the effective sample size is 46,667. If the active number rate is 20%, the number of MPNs that will need to be dialed is 233,335. |
A.6. Analysis of Stratum-level when respondent sample size is 10,000
Total |
10,000 |
|
|
|
|
|
|
|
|
|
|
|
|
Sex by Prevalence |
|||||||||||||
0.1 |
0.2 |
0.3 |
0.4 |
0.5 |
|||||||||
Age |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Min |
Max |
|
18–29 |
1.24% |
1.33% |
1.66% |
1.77% |
1.90% |
2.03% |
2.03% |
2.17% |
2.07% |
2.21% |
1.24% |
2.21% |
|
30–44 |
1.51% |
1.52% |
2.01% |
2.03% |
2.31% |
2.32% |
2.47% |
2.49% |
2.52% |
2.54% |
1.51% |
2.54% |
|
45–59 |
2.13% |
1.99% |
2.84% |
2.65% |
3.25% |
3.04% |
3.47% |
3.25% |
3.55% |
3.31% |
1.99% |
3.55% |
|
60+ |
2.54% |
2.38% |
3.39% |
3.18% |
3.88% |
3.64% |
4.15% |
3.89% |
4.23% |
3.97% |
|||
Min |
1.24% |
1.33% |
1.66% |
1.77% |
1.90% |
2.03% |
2.03% |
2.17% |
2.07% |
2.21% |
0.00% |
|
Overall Min |
Max |
2.13% |
1.99% |
2.84% |
2.65% |
3.25% |
3.04% |
3.47% |
3.25% |
3.55% |
3.31% |
|
3.55% |
Overall Max |
Summary statements for base sample size of 10,000 |
With an overall base sample size of 10,000, the maximum we will see estimating prevalences from 10% to 50% for each of four age and two sex categories is 3.55%. Assuming eligibility rates of 50% and response rates of 30%, the effective sample size is 66,667. If the active number rate is 20%, the number of MPNs that will need to be dialed is 333,335. |
A.7. Analysis of Stratum-level when respondent sample size is 15,000
Total |
15,000 |
|
|
|
|
|
|
|
|
|
|
|
|
Sex by Prevalence |
|||||||||||||
0.1 |
0.2 |
0.3 |
0.4 |
0.5 |
|||||||||
Age |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Min |
Max |
|
18–29 |
1.01% |
1.08% |
1.35% |
1.44% |
1.55% |
1.65% |
1.66% |
1.77% |
1.69% |
1.80% |
1.01% |
1.80% |
|
30–44 |
1.23% |
1.24% |
1.64% |
1.66% |
1.88% |
1.90% |
2.01% |
2.03% |
2.06% |
2.07% |
1.23% |
2.07% |
|
45–59 |
1.74% |
1.62% |
2.32% |
2.16% |
2.65% |
2.48% |
2.84% |
2.65% |
2.89% |
2.71% |
1.62% |
2.89% |
|
60+ |
2.07% |
1.95% |
2.77% |
2.60% |
3.17% |
2.97% |
3.39% |
3.18% |
3.46% |
3.25% |
|||
Min |
1.01% |
1.08% |
1.35% |
1.44% |
1.55% |
1.65% |
1.66% |
1.77% |
1.69% |
1.80% |
0.00% |
|
Overall Min |
Max |
1.74% |
1.62% |
2.32% |
2.16% |
2.65% |
2.48% |
2.84% |
2.65% |
2.89% |
2.71% |
|
2.89% |
Overall Max |
Summary statements for base sample size of 15,000 |
With an overall base sample size of 15,000, the maximum we will see estimating prevalences from 10% to 50% for each of four age and two sex categories is 2.89%. Assuming eligibility rates of 50% and response rates of 30%, the effective sample size is 100,000. If the active number rate is 20%, the number of MPNs that will need to be dialed is 500,000. |
A.8. Analysis of Stratum-level when respondent sample size is 20,000
Total |
20,000 |
|
|
|
|
|
|
|
|
|
|
|
|
Sex by Prevalence |
|||||||||||||
0.1 |
0.2 |
0.3 |
0.4 |
0.5 |
|||||||||
Age |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Min |
Max |
|
18–29 |
0.88% |
0.94% |
1.17% |
1.25% |
1.34% |
1.43% |
1.43% |
1.53% |
1.46% |
1.56% |
0.88% |
1.56% |
|
30–44 |
1.07% |
1.08% |
1.42% |
1.43% |
1.63% |
1.64% |
1.74% |
1.76% |
1.78% |
1.79% |
1.07% |
1.79% |
|
45–59 |
1.50% |
1.41% |
2.01% |
1.87% |
2.30% |
2.15% |
2.46% |
2.30% |
2.51% |
2.34% |
1.41% |
2.51% |
|
60+ |
1.80% |
1.69% |
2.40% |
2.25% |
2.74% |
2.58% |
2.93% |
2.75% |
2.99% |
2.81% |
|||
Min |
0.88% |
0.94% |
1.17% |
1.25% |
1.34% |
1.43% |
1.43% |
1.53% |
1.46% |
1.56% |
0.00% |
|
Overall Min |
Max |
1.50% |
1.41% |
2.01% |
1.87% |
2.30% |
2.15% |
2.46% |
2.30% |
2.51% |
2.34% |
|
2.51% |
Overall Max |
Summary statements for base sample size of 20,000 |
With an overall base sample size of 20,000, the maximum we will see estimating prevalences from 10% to 50% for each of four age and two sex categories is 2.51%. Assuming eligibility rates of 50% and response rates of 30%, the effective sample size is 133,334. If the active number rate is 20%, the number of MPNs that will need to be dialed is 666,670. |
A.9. Analysis of Stratum-level when respondent sample size is 25,000
Total |
25,000 |
|
|
|
|
|
|
|
|
|
|
|
|
Sex by Prevalence |
|||||||||||||
0.1 |
0.2 |
0.3 |
0.4 |
0.5 |
|||||||||
Age |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Min |
Max |
|
18–29 |
0.79% |
0.84% |
1.05% |
1.12% |
1.20% |
1.28% |
1.28% |
1.37% |
1.31% |
1.40% |
0.79% |
1.40% |
|
30–44 |
0.96% |
0.96% |
1.27% |
1.28% |
1.46% |
1.47% |
1.56% |
1.57% |
1.59% |
1.60% |
0.96% |
1.60% |
|
45–59 |
1.35% |
1.26% |
1.79% |
1.68% |
2.06% |
1.92% |
2.20% |
2.05% |
2.24% |
2.10% |
1.26% |
2.24% |
|
60+ |
1.61% |
1.51% |
2.14% |
2.01% |
2.45% |
2.30% |
2.62% |
2.46% |
2.68% |
2.51% |
|||
Min |
0.79% |
0.84% |
1.05% |
1.12% |
1.20% |
1.28% |
1.28% |
1.37% |
1.31% |
1.40% |
0.00% |
|
Overall Min |
Max |
1.35% |
1.26% |
1.79% |
1.68% |
2.06% |
1.92% |
2.20% |
2.05% |
2.24% |
2.10% |
|
2.24% |
Overall Max |
Summary statements for base sample size of 25,000 |
With an overall base sample size of 25,000, the maximum we will see estimating prevalences from 10% to 50% for each of four age and two sex categories is 2.24%. Assuming eligibility rates of 50% and response rates of 30%, the effective sample size is 166,667. If the active number rate is 20%, the number of MPNs that will need to be dialed is 833,335. |
A.10. Analysis of Stratum-level when respondent sample size is 30,000
Total |
30,000 |
|
|
|
|
|
|
|
|
|
|
|
|
Sex by Prevalence |
|||||||||||||
0.1 |
0.2 |
0.3 |
0.4 |
0.5 |
|||||||||
Age |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Females |
Males |
Min |
Max |
|
18–29 |
0.72% |
0.77% |
0.96% |
1.02% |
1.09% |
1.17% |
1.17% |
1.25% |
1.19% |
1.28% |
0.72% |
1.28% |
|
30–44 |
0.87% |
0.88% |
1.16% |
1.17% |
1.33% |
1.34% |
1.42% |
1.43% |
1.45% |
1.46% |
0.87% |
1.46% |
|
45–59 |
1.23% |
1.15% |
1.64% |
1.53% |
1.88% |
1.75% |
2.01% |
1.87% |
2.05% |
1.91% |
1.15% |
2.05% |
|
60+ |
1.47% |
1.38% |
1.96% |
1.84% |
2.24% |
2.10% |
2.40% |
2.25% |
2.44% |
2.29% |
|||
Min |
0.72% |
0.77% |
0.96% |
1.02% |
1.09% |
1.17% |
1.17% |
1.25% |
1.19% |
1.28% |
0.00% |
|
Overall Min |
Max |
1.23% |
1.15% |
1.64% |
1.53% |
1.88% |
1.75% |
2.01% |
1.87% |
2.05% |
1.91% |
|
2.05% |
Overall Max |
Summary statements for base sample size of 30,000 |
With an overall base sample size of 30,000, the maximum we will see estimating prevalences from 10% to 50% for each of four age and two sex categories is 2.05%. Assuming eligibility rates of 50% and response rates of 30%, the effective sample size is 200,000. If the active number rate is 20%, the number of MPNs that will need to be dialed is 1,000,000. |
A.11 Customizable Parameters for Sample Size Analysis
Parameter |
Code |
Active Number Rate |
ANR |
Eligibility Rate |
ER |
Response Rate |
RR |
Margin of Error |
|
Prevalence |
P |
Stratification Classes |
Strata |
Stratum-level Misspecification Effect |
MeffS |
Distribution of General Population across Strata |
Proportions |
Total Sample Size |
Total_n |