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. Author manuscript; available in PMC: 2021 May 4.
Published in final edited form as: Stat Methods Med Res. 2019 Aug 22;29(6):1573–1591. doi: 10.1177/0962280219869364

Table 2.

Mean point estimates, based on 2000 simulated datasets generated under the ‘baseline’ scenario with n= 5000, for the proposed finite interval illness-death model with and without frailty (FI-IDγ, FI-ID); the cure fraction illness-death model of Conlon et al.31 with and without a frailty (Conlonγ, Conlon); the illness-death model with frailty (IDγ); the cure fraction model for T1; and a multi-state illness-death model (MSM), which aligns with the results of a univariate Cox model for acute GVHD on the 2 → 3 transition.

Truth FI-IDγ FI-ID Conlonγ Conlon IDγ Cure MSM
Non-susceptible fraction
βs,0 −0.41 −0.41 −0.31 −0.55 −0.40 0.14
βs,x 0.50 0.50 0.51 0.53 0.54 0.51
Non-susceptible: 1 → 4
 log(κ14) −8.52 −8.51 −7.06 −9.06 −7.41
 log(α14) 0.34 0.33 0.14 0.38 0.18
β14,x 0.25 0.25 0.20 0.33 0.23
Susceptible: 2 → 4
 log(κ24) −5.30 −5.30 −5.17 −5.27 −5.09 −5.35
 log(α24) 0.34 0.34 0.23 0.30 0.25 0.08
β24,x 0.50 0.50 0.41 0.52 0.45 −0.08 0.08
Susceptible: 2 → 3
 log(κ23) −2.16 −2.17 −2.31 −1.81 −1.77 −1.98
 log(α23) −0.69 −0.69 −0.75 −0.63 −0.64 −1.10
β23,x 0.25 0.25 0.25 0.30 0.25 −0.31 0.38 −0.26
Susceptible: 3 → 4
 log(κ34) −6.21 −6.22 −5.66 −6.20 −5.66 −7.01
 log(α34) 0.26 0.26 0.15 0.26 0.15 0.37
β34,x 0.15 0.15 0.14 0.16 0.14 0.11 0.14
log-frailty variance
 log(θ) −1.71 −1.73 −2.00 −0.49

Note: See Section 5 for details.