clogit               package:survival               R Documentation

_C_o_n_d_i_t_i_o_n_a_l _l_o_g_i_s_t_i_c _r_e_g_r_e_s_s_i_o_n

_D_e_s_c_r_i_p_t_i_o_n:

     Estimates a logistic regression model by maximising the
     conditional likelihood. Uses a model formula of the form
     'case.status~exposure+strata(matched.set)'. The default is to use
     the exact conditional likelihood, a commonly used approximate
     conditional likelihood is provided for compatibility with older
     software.

_U_s_a_g_e:

     clogit(formula, data, method=c("exact", "approximate"), na.action=getOption("na.action"), subset=NULL,control=coxph.control())

_A_r_g_u_m_e_n_t_s:

 formula: Model formula

    data: data frame 

  method: correct or approximate conditonal likelihood?

na.action: missing value handling

  subset: subset of records to use 

 control: control values

_V_a_l_u_e:

     An object of class '"clogit"', which is a wrapper for a '"coxph"'
     object.

_A_u_t_h_o_r(_s):

     Thomas Lumley

_S_e_e _A_l_s_o:

     'strata','coxph','glm'

_E_x_a_m_p_l_e_s:

     data(infert)
     clogit(case~spontaneous+induced+strata(stratum),data=infert)

