Table 1 |
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|
Population characteristics and the matching equation |
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| Variable |
Mean Values |
Coefficient |
P-value |
Mean Value Matched Controls (SA<1%) |
Difference Between Cases And Matched Control P value |
Mean Value Unmatched Controls (SA<1%) |
|
|
|
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| All |
Cases (SA>5%) |
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|
|
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| Number of Practices |
702 |
39 |
140 |
523 |
|||
| Proportion of South Asian patients |
0.01 |
0.10 |
- |
- |
0 |
<0.001 |
|
| Carstairs |
-0.17 |
2.3 |
0.45 |
<0.001 |
2.6 |
0.22 |
-0.7 |
| Census not good health |
98.9 |
122 |
0.11 |
<0.001 |
134 |
0.12 |
91.4 |
| Census limiting long term illness |
98.8 |
107 |
-0.2 |
<0.001 |
121 |
0.09 |
95.2 |
| Temporary residents/practice list size |
0.03 |
0.01 |
-3.23 |
0.22 |
0 |
0.31 |
0.05 |
| Proportion of list eligible for road mileage payments |
0.11 |
0 |
-2.88 |
<0.001 |
0.01 |
0.15 |
0.19 |
|
|
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|
Notes: Analysis weighted by list size. Dependent variable in the matching equation is the log-odds of the population proportion in South Asian ethnic groups. Adjusted R-squared for the model = 0.59* Figures for matched controls obtained by weighted average using kernel matching. |
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|
McLean International Journal for Equity in Health 2008 7:18 doi:10.1186/1475-9276-7-18 |
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