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. Author manuscript; available in PMC: 2010 Jun 1.
Published in final edited form as: J Am Stat Assoc. 2009 Jun 1;104(486):803–815. doi: 10.1198/jasa.2009.0130

Table 4.

Regression parameter estimates with standard errors for the lung cancer clinical trial data.

Regression parameter estimates
Treatment (Z1)
 Cell type (Z2)
Model β̂1 SE β̂2 SE
Transformed mean residual life model: g(t) = exp(t) 0.726 0.278 −0.524 0.257
Transformed mean residual life model: g(t) = t 383.220 180.169 −275.804 160.738
Transformed mean residual life model: g(t) = ((t + 1)2 − 1)/2 11.768 4.892 −8.602 4.592

NOTE: g(t) = exp(t) corresponds to the proportional mean residual life model, g(t) = t corresponds to the additive mean residual life model, and g(t) = ((t + 1)2 − 1)/2 corresponds to the Box-Cox transformed mean residual life model. SE, standard error estimate.