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help for ^meanscor^                                               (STB-58: sg156)
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Meanscore method for missing covariate data in logistic regression models
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  	^meanscor^ depvar [indepvars] [^if^ exp] [^in^ range]  
	[^, first(^varlist^) second(^varlist^) odd(^#^)^ ]


Description
------------

^meanscor^ performs a weighted logistic regression using the
mean score method. This function requires the
complete covariate(s) to be categorical, and the default output
contains the regression coefficient estimates and their standard
errors in odds-ratio form.

An important area of application of this function is in the analysis
of data from a two-stage study. In this type of study, some variables
are incomplete due to only a subset of the study subjects being
sampled at the second stage.


Options
-------

^first(^varlist^)^ specifies the complete covariates 
                 (i.e, measured at the first stage).

^second(^varlist^)^ specifies the incomplete covariates
		  (i.e, measured at the second stage).

^odd(^#^)^ specifies whether the odds-ratio (^odd^=1) 
or regression coefficients (^odd^=0) format is
reported. The default value is 1.


Examples
--------

. ^use sim_miss^
. ^meanscor y x,first(z) second(x)^


. ^use ectopic^
. ^meanscor y gonn-chlam, first(gonn-sexptn) second(chlam)^


Authors
-------

        Marie Reilly
	Dept. of Epidemiology & Public Health
	marie.reilly@@ucc.ie

	Agus Salim
	Dept. of Statistics

	University College Cork, Cork, Ireland
	

Also see
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STB:      STB-58: sg156
Manual :  [R] logit, glm
On-line:  help for @logit@, @glm@, @msnprev@