{smcl}
{* 31mar2006}
{cmd:help lprob}
{hline}
{title:Title}
{p 4 8 2}
{bf:lprob -- Calculates probability of outcome after logistic or logit}
{title:Syntax}
{p 8 17 2}
{cmd:lprob} {it:exp}
{p 4 8 2}
where {it:exp} is any linear combination of coefficients of
the predictors included in a preceding {cmd:logistic} or
{cmd:logit} command. You need not include {cmd:_cons}
in {it:exp}; it is included automatically.
{title:Description}
{p 4 4 2}
{cmd:lprob} uses the saved results after {cmd:logistic} or
{cmd:logit} to estimate the probability of outcome for given
values of the predictors.
{title:Remarks}
{p 4 4 2}
With {cmd:lincom} after {cmd:logistic} or {cmd:logit}
you may estimate the odds for the outcome for given values of
the predictors. The results saved by {cmd:lincom} are
used to estimate the probability of outcome.
{p 4 4 2}
The validity of the results depends on study design,
and results should be interpreted with caution, e.g., in a
case-control study.
{p 4 4 2}
The program is described in more detail in Juul (2006, sec. 17.3),
where it was used to illustrate the development of a program (ado-file).
{title:Examples}
{phang}{cmd:. logistic stenosis renogram crea}{p_end}
{phang}{cmd:. lprob 1*renogram + 70*crea}
{phang}{cmd:. quietly logistic stenosis renogram crea}{p_end}
{phang}{cmd:. lprob}
{title:Author}
{p 4 4 2}
{browse "sj@soci.au.dk":Svend Juul}, Department of Epidemiology,
Institute of Public Health, University of Aarhus, Aarhus, Denmark.
{title:Reference}
{p 4 8 2}
Juul, S. 2006. {it:Introduction to Stata for Health Researchers}.
College Station, TX: Stata Press.
{title:Also see}
{p 4 13 2}
Manual: {hi:[R] logistic}; {hi:[R] lincom}
{p 4 13 2}
Online: {help lincom}
{p_end}