{smcl}
{* *! version 9.0.1  5Oct2006}{...}
{cmd:help buckley}
{right:(SJ-5-4: 517-526)}
{hline}

{title:Title}

{p2colset 5 19 21 2}{...}
{p2col :{hi: buckley} {hline 2}}Buckley-James method for analysing censored data{p_end}

{p2colreset}{...}


{title:Syntax}

{p 8 14 2}
{cmd:buckley} {depvar} {it: censorvar} {varlist} [{cmd:,} {it:options}]

{synoptset 21 tabbed}{...}
{synopthdr}
{synoptline}
{syntab:Main}
{synopt :{cmdab:i:terate(}{it:#}{cmd:)}}specifies the maximum number of iterations{p_end}
{synopt :{cmdab:t:olerance(}{it:#}{cmd:)}}specifies the convergence criterion{p_end}
{synopt :{cmdab:d:ispnum(}{it:#}{cmd:)}}specifies how frequently to display the iteration{p_end}
{synoptline}
{p2colreset}{...}


{title:Description}

{pstd}
{cmd:buckley} uses the Buckley-James method (Buckley and James 1979)
to estimate the regression coefficients and generate the expected value of the censored outcome.
{it:depvar} is the dependent variable whose value is rightly censored when the
censoring variable {it:censorvar}=1.
Otherwise it is observed exactly when {it:censorvar}=0.
{it:varlist} is a list of explanatory variable names. At least one 
explanatory variable must be specified.


{title:Options}

{dlgtab:Main}

{phang}
{opt iterate(#)} specifies the maximum number of iterations allowed in the optimization.
It must be a positive integer. The default is {bf:iterate(100)}.

{phang}
{opt tolerance(#)} specifies the convergence criterion defined as the change of the sum of
squares of the difference of regression coefficients between iterations.
It must be a positive number between 0 and 1. The default is {bf:tolerance(1e-6)}.

{phang}
{opt dispnum(#)} specifies how frequently to display the iteration; For example, {bf:dispnum(50)}
displays every 50th iteration. {it:#} must be a positive integer. The default is {bf:dispnum(100)}.


{title:Examples}

{phang}{stata use aids, clear}

{phang}{stata gen censor = 1 - aids}

{phang}{stata gen age30 = age - 30}

{phang}{stata buckley time censor age30, i(20) t(1e-6) d(10)}

{phang}{stata tabstat time varbj, by(aids) stats(n mean sd min max) col(stats) f(%7.2f) long}


{title:Also see}

{psee}
   SJ-5-4: 517-526 


{title:References}

{phang}
Buckley J, James I. Linear regression with censored data. Biometrika 1979; 66: 429-436.

{phang}
Cui J. Buckley-James method for analyzing censored data, with an application to a cardiovascular
disease and an HIV/AIDS study. Stata Journal 2005; 4: 517-526.


{title:Author}

{p 4 4 2}
James Cui, Department of Epidemiology and Preventive Medicine, Monash University.

{p 4 4 2}
Email: {browse "mailto:james.cui@med.monash.edu.au":james.cui@med.monash.edu.au}


Other Commands I have written:
{help genhwcci}   (if installed)      {stata ssc install genhwcci}     (to install this command)
{help simuped2}   (if installed)      {stata ssc install simuped2}     (to install this command)
{help simuped3}   (if installed)      {stata ssc install simuped3}     (to install this command)
{help phenotype}  (if installed)      {stata ssc install phenotype}    (to install this command)
{help qic}        (if installed)      {stata ssc install qic}          (to install this command)