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Table 1 Summary of parameter values used in the core simulation study

From: The implications of outcome truncation in reproductive medicine RCTs: a simulation platform for trialists and simulation study

Parameter description

Notation

Values

Total number of randomised participants

n

100, 200, 500, 1000

Set 1

 Generation of intermediate variable

  

  Intercept (log(odds) of the event in the control group)

 

loge(0.2)

  Treatment effect on the intermediate variable

αR

loge(1, 1.05, 1.1,…2, 5)

  Effect of unmeasured confounding on intermediate variable

αu

loge(0.8)

 Generation of outcome variable—continuous outcome study

  

  Intercept (control group mean)

 

3300

  Treatment effect on the outcome

βR

0, 0.1, 0.2,…,2,5 SDs

  Effect of unmeasured confounding on the outcome variable

βu

− 0.2 SDs

 Generation of outcome variable—binary outcome study

  

  Intercept (log(odds) of the event in the control group)

 

loge(0.1)

  Treatment effect on the outcome

βR

loge(1, 1.05, 1.1,…2, 5)

  Effect of unmeasured confounding on the outcome variable

βu

loge(1.2)

Set 2 (differences from set 1)

 Generation of intermediate variable

  

  Interaction between treatment and unmeasured confounding

αRU

loge(0.8)