Interval-cohort designs and bias in the estimation of per-protocol effects: a simulation study
Abstract Background Randomized trials are considered the gold standard for making inferences about the causal effects of treatments. However, when protocol deviations occur, the baseline randomization of the trial is no longer sufficient to ensure unbiased estimation of the per-protocol effect: post...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-09-01
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| Series: | Trials |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13063-019-3577-z |