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siman_table.sthlp
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siman_table.sthlp
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{smcl}
{* *! version 0.5 21nov2022}{...}
{vieweralsosee "Main siman help page" "siman"}{...}
{viewerjumpto "Syntax" "siman_table##syntax"}{...}
{viewerjumpto "Description" "siman_table##description"}{...}
{viewerjumpto "Authors" "siman_table##authors"}{...}
{title:Title}
{phang}
{bf:siman table} {hline 2} Describes the performance measures data created by {bf:{help siman_analyse:siman analyse}}
{marker syntax}{...}
{title:Syntax}
{phang}
{cmdab:siman table} [{it:performancemeasures}] [if], [column({it:varname})]
{synoptset 20 tabbed}{...}
{synopthdr}
{synoptline}
{syntab:Main}
{pstd}
{p_end}
{synopt:{opt if}} can be applied to {bf:dgm}, {bf:target} and {bf:method}. If not specified then the {it:if} condition from {bf:{help siman_analyse:siman analyse}} will be used.
{pstd}
{p_end}
{marker perfmeas}{...}
{syntab:Performance measure options:}
{pstd}
See {help siman_analyse##perfmeas:performance measures} as per {help siman_analyse:siman analyse} and {help simsum:simsum}.
{p_end}
{syntab:Formatting}
{synopt:{opt c:olumn(varname)}} can be used to move factors to columns.{p_end}
{synoptline}
{p2colreset}{...}
{p 4 6 2}
{marker description}{...}
{title:Description}
{pstd}
{p_end}
{pstd}
{cmd:siman table} uses the inbuilt Stata program {help tabdisp:tabdisp} to provide a summary of the performance measures created by {bf:{help siman_analyse:siman analyse}}.
The output table lists the estimand(s) split by performance measure(s), targets, dgms and methods with the default as follows:
{pstd}
Method will be placed in the columns and the other variables in the rows, unless
the method variable is missing or only has one level. In that case, target will be placed in the columns and the other variables in the rows, unless
target is missing or only has one level. In that case the dgm will be put in the columns.
{pstd}
All of the above will hold unless there are more than 4 dgm and target levels, in which case {cmd: siman table} will be displayed as
method versus performance measures only.
{pstd}
Where there are 2 entries per row in the table, the first entry is the performance measure value,
and the second is the Monte Carlo Standard Error (MCSE). MSCEs quantify a measure of the simulation
uncertainty. They provide an estimate of the standard error of the performance measure, as a finite
number of simulations are used. For example, for the performance measure bias, the Monte Carlo standard
error would show the uncertainty around the estimate of the bias of all of the estimates over all of
the simulations (i.e. for all in the estimate data set).
{pstd}
{cmd:siman table} is called automatically by {bf:{help siman_analyse:siman analyse}},
but can also be called on its own once the performance measures data
has been created by the {bf:siman} suite.
{marker authors}{...}
{title:Authors}
{pstd}Ella Marley-Zagar, MRC Clinical Trials Unit at UCL{break}
Email: {browse "mailto:[email protected]":Ella Marley-Zagar}
{pstd}Ian White, MRC Clinical Trials Unit at UCL{break}
Email: {browse "mailto:[email protected]":Ian White}
{pstd}Tim Morris, MRC Clinical Trials Unit at UCL, London, UK.{break}
Email: {browse "mailto:[email protected]":Tim Morris}