| 50% attrition rate |  | 70% attrition rate |  |
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Dependency (bdrop) | bpred(SE) | Coverage of 95% C.I. | Diff | bpred(SE) | Coverage of 95% C.I. | Diff |
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Pred. | V1 | V2 | Â | Â | Â | Â | Â | Â |
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0 | 0 | 0 | .10 (.04) | 96% | 0.00 | .10 (.05) | 96% | 0.00 |
.3 | .3 | 0 | .13 (.04) | 86% | 0.08 | .13 (.05) | 91% | 0.11 |
.3 | .3 | .1 | .12 (.04) | 90% | 0.04 | .13 (.05) | 92% | 0.06 |
.3 | .3 | .3 | .10 (.04) | 94% | -0.02 | .10 (.06) | 93% | -0.03 |
- Dependency is the magnitude (bdrop) of the regression of liability of dropping out on each of the three study variables. Pred = baseline predictor. V1 = the main variable at baseline (baseline health), V2 = the main variable at follow-up (follow-up health). SE = standard error. bpred = regression coefficient from predictor to change in health. Coverage of 95% C.I. = the percentage of the 500 samples with an estimated bpred with a 95% confidence interval containing the true population value. Diff = estimated change score (follow-up health minus baseline health). bpred, SE, and Diff are average results over the 500 generated samples. N in the original samples was 1000. The first line shows results when attrition was completely random.
- The true population value was bpred = .10.