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📄 pkcollapse.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
💻 HLP
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{smcl}
{* 20jan2005}{...}
{cmd:help pkcollapse}{right:dialog:  {bf:{dialog pkcollapse}}}
{hline}

{title:Title}

{p2colset 5 23 25 2}{...}
{p2col :{hi:[R] pkcollapse} {hline 2}}Generate pharmacokinetic measurement dataset{p_end}
{p2colreset}{...}


{title:Syntax}

{p 8 19 2}
{cmd:pkcollapse} {it:time} {it:concentration} [{it:{help if}}] {cmd:,}
 {opt id(id_var)} [{it:options}]

{synoptset 18 tabbed}{...}
{synopthdr}
{synoptline}
{syntab :Main}
{p2coldent :* {opth "id(varname:id_var)"}}subject id variable{p_end}
{synopt :{opth "stat(pkcollapse##measures:measures)"}}create specified
{it:measures}; default is all{p_end}
{synopt :{opt t:rapezoid}}use trapezoidal rule; default is cubic splines{p_end}
{synopt :{opt fit(#)}}use {it:#} points to estimate AUC; default is
{cmd:fit(3)}{p_end}
{synopt :{opth keep(varlist)}}keep variables in {it:varlist}{p_end}
{synopt :{opt force}}force collapse{p_end}
{synopt :{opt nod:ots}}suppress dots during calculation{p_end}
{synoptline}
{p2colreset}{...}
{p 4 6 2}*{opt id(id_var)} is required.

{synoptset 18}{...}
{marker measures}{...}
{synopthdr :measures}
{synoptline}
{synopt :{opt auc}}area under the concentration-time curve (AUC){p_end}
{synopt :{opt aucline}}area under the concentration-time curve from 0 to
 infinity using a linear extension{p_end}
{synopt :{opt aucexp}}area under the concentration-time curve from 0 to infinity
using an exponential extension{p_end}
{synopt :{opt auclog}}area under the log-concentration-time curve extended with 
a linear fit{p_end}
{synopt :{opt half}}half-life of the drug{p_end}
{synopt :{opt ke}}elimination rate{p_end}
{synopt :{opt cmax}}maximum concentration{p_end}
{synopt :{opt tmax}}time at last concentration{p_end}
{synopt :{opt tomc}}time of maximum concentration{p_end}
{synoptline}
{p2colreset}{...}


{title:Description}

{pstd}
{cmd:pkcollapse} generates new variables with the pharmacokinetic summary
measures of interest.
 
{pstd}
{cmd:pkcollapse} is one of the pk commands.  Please read {helpb pk} before
reading this entry.


{title:Options}

{dlgtab:Main}

{phang}
{opt id(id_var)} is required and specifies the variable that contains
the subject ID over which {cmd:pkcollapse} is to operate.

{phang}
{opt stat(measures)} specifies the measures to be generated.  The default is
to generate all the measures.

{phang}
{opt trapezoid} tells Stata to use the trapezoidal rule when calculating the
AUC.  The default is to use cubic splines, which give better results for most
functions.  When the curve is very irregular, {opt trapezoid} may give better
results.

{phang}
{opt fit(#)} specifies the number of points to use in estimating the AUC.  The
default is {cmd:fit(3)}, the last 3 points.  This should be viewed as a
minimum; the appropriate number of points will depend on your data.

{phang}
{opth keep(varlist)} specifies the variables to be kept during the collapse.
Variables not specified with the {opt keep()} option will be dropped.  When
{opt keep()} is specified, the keep variables are checked to ensure that all
values of the variables are the same within {it:id_var}.

{phang}
{opt force} forces the collapse, even in cases where the values of
the {opt keep()} variables are different within the {it:id_var}.

{phang}
{opt nodots} suppresses the display of dots during calculation.


{title:Examples}

{phang}{cmd: . pkcollapse time concA concB, id(id) keep(seq) stat(auc)}{p_end}

{phang}{cmd: . pkcollapse time conc*, id(id)}


{title:Also see}

{psee}
Manual:  {bf:[R] pkcollapse}

{psee}
Online:  {helpb pk}, {helpb pkcross}, {helpb pkequiv}, {helpb pkexamine},
{helpb pkshape}, {helpb pksumm}
{p_end}

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