svy_poisson_postestimation.hlp

是一个经济学管理应用软件 很难找的 但是经济学学生又必须用到

{smcl}
{* 29mar2005}{...}
{cmd:help svy: poisson postestimation}{...}
{right:dialogs:  {bf:{dialog svy_poisson_p:predict}}{space 5}}
{right:also see:  {helpb "svy: poisson"}}
{hline}

{title:Title}

{p2colset 5 42 44 2}{...}
{p2col :{hi:[SVY] svy: poisson postestimation} {hline 2}}Postestimation
tools for {cmd:svy: poisson}{p_end}
{p2colreset}{...}


{title:Syntax}

{pstd}
The following postestimation commands are available for {cmd:svy: poisson}:

INCLUDE help svy_postestimation


{title:Syntax for predict}

{p 8 16 2}{cmd:predict} {dtype} {newvar}
	{ifin} [{cmd:,} {it:statistic} {opt nooff:set} ]

{synoptset 13 tabbed}{...}
{synopthdr:statistic}
{synoptline}
{syntab: Main}
{synopt :{opt n}}predicted number of events; the default{p_end}
{synopt :{opt ir}}incidence
	rate (equiv. to {cmd:predict} {it:...}{cmd:, n nooffset}){p_end}
{synopt :{opt xb}}linear prediction{p_end}
{synopt :{opt stdp}}standard error of the linear prediction{p_end}
{synopt :{opt sc:ore}}first derivative of the log pseudolikelihood with
	respect to the linear prediction{p_end}
{synoptline}
{p2colreset}{...}
INCLUDE help esample


{title:Options for predict}

{dlgtab:Main}

{phang}
{opt n}, the default, calculates the predicted number of events, which
is exp(xb) if neither {opt offset()} nor {opt exposure()} was specified
when the model was fitted, or exp(xb + offset) if {opt offset()}
was specified, or exp(xb)*exposure if {opt exposure()} was specified.

{phang}
{opt ir} calculates the incidence rate exp(xb), the predicted number
of events when exposure is 1.  This is equivalent to specifying both {opt n}
and {opt nooffset} options.

{phang}
{opt xb} calculates the linear prediction, which is xb if neither {opt
offset()} nor {opt exposure()} was specified; xb+offset if {opt offset()} was
specified; or xb+ln(exposure) if {opt exposure()} was specified; see {opt
nooffset} below.

{phang}
{opt stdp} calculates the standard error of the linear prediction.

{phang}
{opt nooffset} is relevant if you specified {opt offset()} or
{opt exposure()} when you fitted the model.  The above calculations are
then made ignoring the exposure or offset variable and thus, for instance,
{opt n} == {opt ir}).
This option may not be used with the {opt scores} option.

{phang}
{opt score} calculates the equation-level score; the derivative of the log
likelihood with respect to the linear prediction.


{title:Examples}

{phang}
{cmd:. webuse alq99_00}
{p_end}
{phang}
{cmd:. svyset}
{p_end}
{phang}
{cmd:. generate drinkdays = alq120q if alq120q <= 365}
{p_end}
{phang}
{cmd:. svydes drinkdays}
{p_end}
{phang}
{cmd:. xi: svy: poisson drinkdays ridageyr i.ridreth1, irr}
{p_end}

{phang}
{cmd:. predict ir_drink if e(sample), ir}
{p_end}
{phang}
{cmd:. sum ir_drink drinkdays if e(sample)}
{p_end}


{title:Also see}

{psee}
Manual:  {bf:[SVY] svy: poisson postestimation}

{psee}
Online:  {helpb "svy: poisson"};{break}
{helpb svy estat:estat},
{helpb estimates},
{helpb lincom},
{helpb mfx},
{helpb nlcom},
{helpb predictnl},
{helpb suest},
{helpb test},
{helpb testnl}
{p_end}