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help stmix postestimation                                      also see:  stmix
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Title

    [ST] stmix postestimation -- Postestimation tools for stmix


Description

    The following standard postestimation commands are also available:

    command             description
    -------------------------------------------------------------------------
INCLUDE help post_estat
INCLUDE help post_estimates
INCLUDE help post_lincom
INCLUDE help post_lrtest
INCLUDE help post_nlcom
        predict         predictions
INCLUDE help post_predictnl
INCLUDE help post_test
INCLUDE help post_testnl
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Syntax for predict

        predict newvar [if] [in] [, statistic]


    statistic                  Description
    -------------------------------------------------------------------------
    Main
      hazard                   hazard function
      survival                 survival function
      cumhazard                cumulative hazard function
      ci                       calculate confidence intervals
      stdp                     standard error of predicted function
      timevar(varname)         time variable used for predictions (default
                                 _t)
      at(vn # [vn # ...])      predict at values of specified covariates
      zeros                    sets all covariates to zero (baseline
                                 prediction)
               
    Subsidiary
      level                    sets confidence level (default 95)
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Options for predict

        +------+
    ----+ Main +-------------------------------------------------------------

    hazard calculates the predicted hazard.

    survival calculates the predicted survivor function

    cumhazard calculates the predicted cumulative hazard.

    ci calculate a confidence interval for the requested statistic and stores
        the confidence limits in newvar_lci and newvar_uci.

    stdp calculates standard error of prediction and stores it in newvar_se.

    timevar(varname) defines the variable used as time in the predictions.
        Default varname is _t. This is useful for large datasets where for
        plotting purposes predictions are only needed for 200 observations
        for example.  Note that some caution should be taken when using this
        option as predictions may be made at whatever covariate values are in
        the first 200 rows of data.  This can be avoided by using the at()
        option and/or the zeros option to define the covariate patterns for
        which you require the predictions.

    at(varname # [ varname # ...]) requests that the covariates specified by
        the listed varname(s) be set to the listed # values. For example,
        at(x1 1 x3 50) would evaluate predictions at x1 = 1 and x3 = 50. This
        is a useful way to obtainThis is a useful way to obtain out of sample
        predictions. Note that if at() is used together with zeros all
        covariates not listed in at() are set to zero. If at() is used
        without zeros then all covariates not listed in at() are set to their
        sample values. See also zeros.

    zeros sets all covariates to zero (baseline prediction). For example,
        predict s0, survival zeros calculates the baseline survival function.
        See also at().

        +------------+
    ----+ Subsidiary +-------------------------------------------------------

    level(#) sets the confidence level; default is level(95) or as set by set
        level.


Examples

    Setup
        webuse brcancer
        stset rectime, failure(censrec = 1) scale(365.25)

    Mixture Weibull-Weibull proportional hazards model
        stmix hormon, dist(ww)
        predict h, hazard ci
        predict s, survival ci


Also see

    Online:  [ST] stmix