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103 lines
2.8 KiB
Plaintext
103 lines
2.8 KiB
Plaintext
9 months ago
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{smcl}
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{* 11jun2004}{...}
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{hline}
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help for {cmd:mijoin}, {cmd:misplit}{right:(SJ5-4: st0067_2; SJ5-2: st0067_1; SJ4-3: st0067)}
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{hline}
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{title:Join or split multiple imputed datasets}
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{p 8 17 2}
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{c -(}{cmd:mijoin} [{it:filestubname}] | {cmd:misplit}{c )-}{cmd:,}
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{cmd:clear}
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[{cmd:m(}{it:#}{cmd:)}
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{cmdab:imp:id(}{it:varname}{cmd:)}]
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{title:Description}
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{p 4 4 2}
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{cmd:mijoin} converts datasets prepared by Carlin's {helpb miset} routine
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to {helpb mvis} format, for analysis by {helpb micombine}. The component
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datasets are stacked (joined vertically). If {it:filestubname} is
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specified then the program will look for files called
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{it:filestubname}{cmd:1.dta}, {it:filestubname}{cmd:2.dta},...,
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{it:filestubname}{cmd:m.dta} where {cmd:m} is determined by
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the {cmd:m()} option.
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{p 4 4 2}
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{cmd:misplit} converts a dataset prepared by {helpb mvis}
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to {helpb miset} format, for analysis
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by {helpb mifit} and other utilities. You should {cmd:use}
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the dataset first.
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{p 4 4 2}
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The operations performed by {cmd:mijoin} and {cmd:misplit}
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are reciprocal.
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{title:Options}
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{p 4 8 2}
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{cmd:clear} is not optional and confirms that you are willing to replace the
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data in memory.
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{p 4 8 2}
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{cmd:m(}{it:#}{cmd:)} sets the number of imputed datasets to {it:#}.
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{p 4 8 2}
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{cmd:impid(}{it:varname}{cmd:)} sets the name of the variable identifying the
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imputations to {it:varname} (default is {cmd:_j}). {cmd:mijoin} creates
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{it:varname} whereas {cmd:misplit} expects it to exist already.
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{title:Remarks}
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{p 4 4 2}
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After {cmd:mijoin} has been executed, the data are ready for immediate use by
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{cmd:micombine}. However, to save the data permanently you would
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need to issue a {helpb save} command.
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{p 4 4 2}
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After {cmd:misplit} has been executed, the data are ready for immediate use by
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Carlin's routines. However, to save the data permanently you would
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need to issue a {helpb misave} command followed by {helpb miset} on the next use.
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{title:Examples}
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{p 4 8 2}{cmd:. mvis y x1 x2 x3 using imp, m(3)}{p_end}
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{p 4 8 2}{cmd:. use imp, clear}{p_end}
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{p 4 8 2}{cmd:. misplit, clear}{p_end}
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{p 4 8 2}{cmd:. mifit regress y x1 x2 x3}
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{p 4 8 2}{cmd:. miset using imp, clear mimps(5)}{p_end}
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{p 4 8 2}{cmd:. mijoin, clear}{p_end}
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{p 4 8 2}{cmd:. micombine regress y x1 x2 x3}
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{p 4 8 2}{cmd:. mijoin imp, clear m(5)}{p_end}
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{p 4 8 2}{cmd:. save imp_mvis}{p_end}
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{p 4 8 2}{cmd:. micombine regress y x1 x2 x3}
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{title:Author}
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{p 4 4 2}
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Patrick Royston, MRC Clinical Trials Unit, London.
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patrick.royston@ctu.mrc.ac.uk
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{title:References}
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{p 4 8 2}
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Carlin, J. B., N. Li, P. Greenwood, and C. Coffey. 2003.
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Tools for analyzing multiple imputed datasets. {it:Stata Journal} 3(3):
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226-244.
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{title:Also see}
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{p 4 13 2}
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Online: {helpb mvis}, {helpb micombine}, {helpb miset} (if installed)
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{p_end}
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