📄 svy_sum_optable.ihlp
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{* 18mar2005}{...}
{synopthdr:vcetype}
{synoptline}
{syntab:SE}
{synopt :{opt linear:ized}}Taylor linearized variance estimation{p_end}
{synopt :{opt brr}}BRR variance estimation; see {helpb svy brr}{p_end}
{synopt :{opt jack:knife}}jackknife variance estimation;
see {helpb svy jackknife}{p_end}
{synoptline}
{p 4 6 2}
Specifying a {it:vcetype} overrides the default from {cmd:svyset}.
{synopthdr:svy_options}
{synoptline}
{syntab:if/in/over}
{synopt :{opt sub:pop()}}identify a subpopulation{p_end}
{syntab:SE}
{synopt :{it:{help brr_options}}}additional
options allowed with BRR variance estimation{p_end}
{synopt :{it:{help jackknife_options}}}additional
options allowed with jackknife variance estimation{p_end}
{syntab:Reporting}
{synopt :{opt l:evel(#)}}set confidence level; default is {cmd:level(95)}{p_end}
{synopt :{opt noh:eader}}suppress the table header{p_end}
{synopt :{opt nol:egend}}suppress the table legend{p_end}
{synoptline}
{p 4 6 2}
{cmd:svy} requires that the survey design variables are identified using
{cmd:svyset}; see {helpb svyset}.
{p_end}
{p 4 6 2}
See {help estcom} for additional capabilities of estimation commands.
{p_end}
{p 4 6 2}
Warning: Use of {it:if} or {it:in} restrictions will not produce correct
variance estimates for subpopulations in many cases. To compute estimates
for subpopulations, use the {cmd:subpop()} option.
The full specification for {opt subpop()} is
{p_end}
{pmore2}
{opt sub:pop}{cmd:(}[{varname}] [{help if}]{cmd:)}
{p_end}
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