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Fig. 2 | BMC Medical Research Methodology

Fig. 2

From: Independence estimators for re-randomisation trials in multi-episode settings: a simulation study

Fig. 2

Bias in estimators across different treatment effect and non-enrolment scenarios for simulation study 2a. Monte Carlo standard errors ranges: per-episode added-benefit 0.003–0.006; per-episode policy-benefit 0.004–0.008; per-patient added-benefit 0.003–0.006; per-patient policy-benefit 0.004–0.007. Treatment effect scenario 1: Constant treatment effect. 2: Treatment effect varies across episode. 3: Treatment effect varies across patients with different values of Mi. 4: Treatment effect carries forward. 5: Treatment becomes less effective on re-use. 6: Treatment effect varies across episodes, across patients with different values of Mi, carries forward, and becomes less effective on re-use. Non-enrolment scenario 1: non-enrolment depends on previous treatment allocation. 2: Non-enrolment depends on previous treatment allocation and previous outcome. 3: Non-enrolment depends on previous treatment allocation and baseline prognosis at episode two. 4: Non-enrolment is differential between treatment groups based on previous outcome. 5: Non-enrolment is differential between treatment groups based on baseline prognosis at episode two

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