funnelplot               package:rmeta               R Documentation

_F_u_n_n_e_l _p_l_o_t _f_o_r _p_u_b_l_i_c_a_t_i_o_n _b_i_a_s

_D_e_s_c_r_i_p_t_i_o_n:

     Plots the treatment difference for trials against the size of the
     trial (or other specified variable). Asymmetry in the plot often
     indicates publication bias. Generic, with methods for
     meta-analysis objects

_U_s_a_g_e:

     funnelplot(object,...)
     funnelplot.default(d, se, size=1/se, summ=NULL, xlab="Effect", ylab="Size",
     colors=meta.colors(),conf.level=0.95, plot.conf=FALSE, zero=NULL, mirror=FALSE)

_A_r_g_u_m_e_n_t_s:

       d: Treatment difference

      se: Standard error of `d'

    size: Variable for the vertical axis

    summ: summary treatment difference

    xlab: x-axis label 

    ylab: y-axis label

  colors: list of colors for components of the plot

conf.level: For confidence interval plotting 

plot.conf: Plot confidence intervals instead of just points?

    zero: location of a null hypothesis line

  mirror: Add points reflected around `summ'?

_D_e_t_a_i_l_s:

     With the default value of `size' the plot should appear as a
     upwards-pointing funnel shape.  Publication bias often causes one
     side of the funnel to be trimmed near the base.  The `mirror' plot
     creates a symmetric funnel by reflecting the plot around the
     `summ' value.  In the presence of publication bias the added
     points will separate from the real studies.

_V_a_l_u_e:

     Used for its side-effect

_A_u_t_h_o_r(_s):

     Thomas Lumley

_S_e_e _A_l_s_o:

     `meta.DSL',`meta.MH',`meta.summaries',`metaplot'

_E_x_a_m_p_l_e_s:

     data(catheter)
     a<-meta.MH(n.trt,n.ctrl,col.trt,col.ctrl,data=catheter,names=Name,subset=c(13,6,5,3,7,12,4,11,1,8,10,2))
     funnelplot(a$logOR,a$selogOR)
     funnelplot(a$logOR,a$selogOR,plot.conf=TRUE,summ=a$logMH,mirror=TRUE)
     funnelplot(a,plot.conf=TRUE)

