brv                   package:Epi                   R Documentation

_B_e_r_e_a_v_e_m_e_n_t _i_n _a_n _e_l_d_e_r_l_y _c_o_h_o_r_t

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

     The 'brv' data frame has 399 rows and 11 columns. The data concern
     the possible effect of marital bereavement on subsequent
     mortality. They arose from a survey of the physical and mental
     health of a cohort of 75-year-olds in one large general practice.
     These data concern mortality up to 1 January, 1990 (although
     further follow-up has now taken place).

     Subjects included all lived with a living spouse when they entered
     the study. There are three distinct groups of such subjects: (1)
     those in which both members of the couple were over 75 and
     therefore included in the cohort, (2) those whose spouse was below
     75 (and was not, therefore, part of the main cohort study), and
     (3) those living in larger households (that is, not just with
     their spouse).

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

      id: subject identifier, a numeric vector 

  couple: couple identifier, a numeric vector 

     dob: date of birth, a date 

     doe: date of entry into follow-up study, a date 

     dox: date of exit from follow-up study, a date 

    dosp: date of death of spouse, a date (if the spouse was still
          alive at the end of follow-up, this was coded to January 1,
          2000) 

    fail: status at end of follow-up, a numeric vector (0=alive,
          1=dead) 

   group: see Description, a numeric vector 

   disab: disability score, a numeric vector 

  health: perceived health status score, a numeric vector 

     sex: a factor with levels 'Male'  'Female'  

_F_o_r_m_a_t:

     This data frame contains the following columns:

_S_o_u_r_c_e:

     Jagger C, and Sutton CJ, Death after Marital Bereavement.
     Statistics in Medicine, 10:395-404, 1991. (Data supplied by Carol
     Jagger).

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

     data(brv)

