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help for confall
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plot and display all possible effect estimates after estimation 

        confall [, eform(string) lockterms(varlist) format(%fmt) xis(string)
                 xformat(%fmt) addaic addbic notable graph_options ]

Description

    confall plots and displays effect estimates from models with all possible
    combinations of potential confounders.The first independent variable is
    the exposure of interest and all other independent variables are
    potential confounders.

Options

    eform reports the estimated coefficients transformed to odds ratios,
        hazard ratios, relative risk i.e., exp(b) rather than b.  Confidence
        intervals are similarly transformed.

    format(%fmt) specifies the display format for presenting numbers in graph
        and table.  format(%9.0g) is the default

    xformat(%fmt) specifies the display format for presenting numbers in x
        axis. format(%9.0g) is the default

    lockterms(varlist) specifies variables to be included in all models.

    xis() specifies values for X-axis. The default is p representing p
        values.  Alternatives include pr (rescaled X-axis using p^.23137821,
        but labeled as original p value) aic (Akaike Information Criterion),
        bic (Bayesian Information Criterion), r2 (R2 or Pseudo R2), and n
        (the number of confounders)}

    addaic and addbic mark the effect estimate from the model with the
        minimum AIC and BIC, respectively.

    table displays the table.

    graph_options refers to options of graph twoway scatter.

Examples

    . logistic diabetes BMI Age Sex IGT ACR CRP Cholesterol DiastolicBP GGT
        Smoking Drinking
    . confall, lockterm(Age Sex) eform(OR)
    . confall, eform(OR) xline(0.05) yline(1)
    . confall, eform(OR) yline(1) xis(aic)
 

Author
    Zhiqiang Wang <z.wang@uq.edu.au>
    The University of Queensland

Acknowledgments 
    This work was supported by the NHMRC Australia (301024).

Also see