TY - JOUR
ID - st0458
A1 - Ruhe, C.
TI - Estimating survival functions after stcox with time-varying coefficients
JF - Stata Journal
PB - Stata Press
CY - College Station, TX
Y1 - 2016
VL - 16
IS - 4
SP - 867
EP - 879
KW - scurve_tvc
KW - stcox
KW - tvc() option
KW - stcurve
KW - sts generate
KW - Cox model
KW - proportional hazards
KW - time-varying coefficients
KW - survival function
UR - http://www.stata-journal.com/article.html?article=st0458
L1 - http://www.stata-journal.com/sjpdf.html?article=st0458
AB - In many applications of the Cox model, the proportional-hazards assumption is
implausible. In these cases, the solution to nonproportional hazards usually
consists of modeling the effect of the variable of interest and its interaction
effect with some function of time. Although Stata provides a command to
implement this interaction in stcox, it does not allow the typical
visualizations using stcurve if stcox was estimated with the
tvc() option. In this article, I provide a short workaround that
estimates the survival function after stcox with timedependent
coefficients. I introduce and describe the scurve_tvc command, which
automates this procedure and allows users to easily visualize survival
functions for models with time-varying effects.
ER -