Abstract
A clinical trial setting is considered in which two treatments are available for a particular ailment. The response to treatment is Bernoulli with “success” or “failure” as the outcome. Several allocation rules which are designed to reduce the number of patients who receive the inferior treatment are compared with random allocation using simulation. Particular attention is paid to the bias and variance for estimation of the true treatment difference. The effect of time trends in the data is examined.
| Original language | English |
|---|---|
| Pages (from-to) | 219-231 |
| Number of pages | 13 |
| Journal | Journal of Statistical Computation and Simulation |
| Volume | 40 |
| Issue number | 3-4 |
| DOIs | |
| Publication status | Published - 30 Sept 1992 |
Keywords
- clinical trial
- data-dependent allocation rule
- estimation of treatment differences
- Gittens index
- linear time trend
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