Table 1: Example (dummy) data for the simulation.
| Year | Age | TransFA | TransLP | TransFit | Trans16 | Trans18 | OutcomeFA | OutcomeLP | OutcomeFit |
| 2006 | 14 | 0 | 0 | 0 | 0 | 0 | P 2.0 | P 2.0 | P 2.0 |
| 2007 | 15 | 1 | 0 | 0 | 0 | 0 | P2.4 | P 2.0 | P 2.0 |
| 2008 | 16 | 1 | 0 | 0 | 1 | 0 | P2.4 | P 2.0 | P 2.0 |
| 2009 | 17 | 1 | 0 | 1 | 1 | 0 | P2.4 | P 2.0 | P2.4 |
| 2010 | 18 | 1 | 0 | 1 | 1 | 1 | P2.4 | P 2.0 | P2.4 |
| 2011 | 19 | 1 | 1 | 1 | 1 | 1 | P2.4 | P2.4 | P2.4 |
| 2012 | 20 | 1 | 1 | 1 | 1 | 1 | P2.4 | P2.4 | P2.4 |
| 2013 | 21 | 1 | 1 | 1 | 1 | 1 | P2.4 | P2.4 | P2.4 |
Data are shown for a single individual, present from 2006 to 2013 aged 14 to 21 years. In each year the person has five binary transition variables, for the three estimation methods and transition set to age 16 and age 18 years. For this person, the First Adult approach estimates transition at 15 years, Last Paediatric approach estimates transition at 19 years and Fitted approach estimates transition at 17 years - indicated by 0 for paediatric care and 1 for adult care in the TransFA, TransLP and TransFit variables, respectively. The three outcome variables have values drawn from the pre-transition Poisson distribution (P2.0) where the corresponding transition variable is 0 and from the post-transition distribution (P2.4) where the corresponding transition variable is 1. As a visual guide, post-transition observations are in bold type.