aneur                  package:msm                  R Documentation

_A_o_r_t_i_c _a_n_e_u_r_y_s_m _p_r_o_g_r_e_s_s_i_o_n _d_a_t_a

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

     This dataset contains longitudinal measurements of grades of
     aortic aneurysms,  measured by ultrasound examination of the
     diameter of the aorta.

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

     data(aneur)

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

     A data frame containing 4337 rows, with each row corresponding to
     an ultrasound scan from one of 838 men over 65 years of age.

       'ptnum'  (numeric)  Patient identification number
         'age'  (numeric)  Recipient age at examination (years)
        'diam'  (numeric)  Aortic diameter
       'state'  (numeric)  State of aneurysm.

     The states represent successive degrees of aneurysm severity, as
     indicated by the aortic diameter. 

       State 1  Aneurysm-free      < 30 cm
       State 2  Mild aneurysm      30-44 cm
       State 3  Moderate aneurysm  45-54 cm
       State 4  Severe aneurysm    > 55 cm

     683 of these men were aneurysm-free at age 65 and were re-screened
     every two years.  The remaining men were aneurysmal at entry and
     had successive screens with frequency depending on the state of
     the aneurysm. Severe aneurysms are repaired by surgery.

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

     The Chichester, U.K. randomised controlled trial of screening for
     abdominal aortic aneurysms by ultrasonography.

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

     Jackson, C.H., Sharples, L.D., Thompson, S.G. and Duffy, S.W. and
     Couto, E.  Multi-state Markov models for disease progression with
     classification error. _The Statistician_, 52(2): 193-209 (2003)

     Couto, E. and Duffy, S. W. and Ashton, H. A. and Walker, N. M. and
     Myles, J. P. and Scott, R. A. P. and Thompson, S. G. (2002)
     _Probabilities of progression of aortic aneurysms: estimates and
     implications for screening policy_ Journal of Medical Screening
     9(1):40-42

