metagen                 package:meta                 R Documentation

_G_e_n_e_r_i_c _i_n_v_e_r_s_e _v_a_r_i_a_n_c_e _m_e_t_a-_a_n_a_l_y_s_i_s

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

     Fixed and random effects meta-analysis based on estimates and
     their standard errors; inverse variance weighting is used for
     pooling.

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

     metagen(TE, seTE, studlab, data=NULL, subset=NULL, sm="")

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

      TE: Estimate of treatment effect.

    seTE: Standard error of treatment estimate.

 studlab: An optional vector with study labels.

    data: An optional data frame containing the study information.

  subset: An optional vector specifying a subset of studies to be used.

      sm: A character string indicating underlying summary measure,
          e.g., '"RD"', '"RR"', '"OR"', '"WMD"', '"SMD"'.

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

     Generic method for meta-analysis, only treatment estimates and
     their standard error are needed. The method is useful, e.g., for
     pooling of log hazard ratios. The inverse variance method is used
     for pooling. Random effects estimate is based on the
     DerSimonian-Laird method.

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

     An object of class 'c("metagen", "meta")' with corresponding
     'print', 'summary', 'plot' function. The object is a list
     containing the following components: 

TE, seTE, studlab,: As defined above.

      sm: 

w.fixed, w.random: Weight of individual studies (in fixed and random
          effects model).

TE.fixed, seTE.fixed: Estimated overall treatment effect and standard
          error (fixed effect model).

TE.random, seTE.random: Estimated overall treatment effect and standard
          error (random effects model).

       k: Number of studies combined in meta-analysis.

       Q: Heterogeneity statistic.

     tau: Square-root of between-study variance (moment estimator of
          DerSimonian-Laird).

  method: Pooling method: '"Inverse"'.

    call: Function call.

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

     Guido Schwarzer sc@imbi.uni-freiburg.de

_R_e_f_e_r_e_n_c_e_s:

     Cooper H & Hedges LV (1994), _The Handbook of Research Synthesis_.
     Newbury Park, CA: Russell Sage Foundation.

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

     'metabin', 'metacont', 'print.meta'

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

     data(Fleiss93)
     meta1 <- metabin(event.e, n.e, event.c, n.c, data=Fleiss93, sm="RR", meth="I")
     meta1

     ##
     ## Identical results by using the following commands:
     ##
     meta1
     metagen(meta1$TE, meta1$seTE, sm="RR")

