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- _S_u_r_v_i_v_a_l _C_u_r_v_e _O_b_j_e_c_t _T_h_i_s _c_l_a_s_s _o_f _o_b_j_e_c_t_s _i_s _r_e_t_u_r_n_e_d _b_y
- _t_h_e _s_u_r_v_f_i_t _c_l_a_s_s _o_f _f_u_n_c_t_i_o_n_s _t_o _r_e_p_r_e_s_e_n_t _a _f_i_t_t_e_d _s_u_r_-
- _v_i_v_a_l _c_u_r_v_e. _O_b_j_e_c_t_s _o_f _t_h_i_s _c_l_a_s_s _h_a_v_e _m_e_t_h_o_d_s _f_o_r _t_h_e
- _f_u_n_c_t_i_o_n_s _p_r_i_n_t, _s_u_m_m_a_r_y, _p_l_o_t, _p_o_i_n_t_s _a_n_d _l_i_n_e_s.
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- The following components must be included in a legiti-
- mate survfit object.
-
- _A_r_g_u_m_e_n_t_s:
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- time:
- the time points at which the curve has a step.
-
- n.risk:
- the number of subjects at risk at t.
-
- n.event:
- the number of events that occur at time t.
-
- surv:
- the estimate of survival at time t+0. This may be a
- vector or a matrix.
-
- strata:
- if there are multiple curves, this component gives the
- number of elements of of the time etc. vectors
- corresponding to the first curve, the second curve, and
- so on. The names of the elements are labels for the
- curves.
-
- call:
- an image of the call that produced the object.
-
- std.err:
- the standard error of the cumulative hazard or
- -log(survival).
-
- uppper:
- upper confidence limit for the survival curve.
-
- lower:
- lower confidence limit for the survival curve.
-
- conf.type:
- the approximation used to compute the confidence lim-
- its.
-
- conf.int:
- the level of the confident limits, e.g. 90 or 95%.
-
- na.action:
- the returned value from the na.action function, if any.
- It will be used in the printout of the curve, e.g., the
- number of observations deleted due to missing values.
-
- Survfit objects that contain multiple survival curves
- can be subscripted. This is most often used to plot a
- subset of the curves. Usually a single subscript will
- be used. In one particular case --- survival curves
- for multiple covariate values, from a Cox model that
- includes a strata statement --- there is a matrix of
- curves and 2 subscripts may be used. (In this case
- summary.survfit will also print the data as a matrix).
-
- survfit, plot.survfit, summary.survfit.
-
-