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Table 3 Comparison of results from three methods of regression analysis (Change in EQ5D)

From: Do the methods used to analyse missing data really matter? An examination of data from an observational study of Intermediate Care patients

   OLS on complete cases n = 688 [1]a OLS on MI dataset n = 1105 cases [2]b Heckman on complete cases n = 1105, 417 obs censored [3]c
  Variables Coeff S.E. Coeff S.E. Coeff S.E.
Episode Characteristics Age in 2003 0.000 0.001 0.000 0.001 0.000 0.001
Gender 0.046 0.022* 0.051 0.018** 0.054 0.024*
Lives alone 0.020 0.020 0.015 0.017 0.029 0.023
Barthel score at admission 0.017 0.003** 0.017 0.002** 0.016 0.003**
EQ5D score at admission −0.495 0.033** −0.479 0.026** −0.484 0.037**
Descriptors of IC Service Acute Admission Avoidance Service −0.038 0.027 −0.017 0.021 0.156 0.042**
Duration of Service Provision 0.000 0.000 0.001 0.000* 0.000 0.000
Descriptors of IC-related Services Referral – Primary −0.031 0.052 −0.044 0.043 −0.020 0.058
Referral – Hospital −0.098 0.051 −0.053 0.042 0.020 0.059
Referral – Other −0.003 0.078 0.059 0.065 0.013 0.086
Referral – Social Workers (Reference Group)       
Alternative to IC – Other −0.063 0.031* −0.077 0.025** −0.077 0.030*
Alternative to IC – Home −0.045 0.023* −0.028 0.019 −0.046 0.022*
Alternative to IC – Hospital (Reference Group)       
Interactions Gender*Type of IC −0.048 0.053 −0.027 0.037 −0.057 0.053
Barthel score at admission*Type of IC 0.003 0.004 −0.002 0.003 0.004 0.004
EQ5D score at admission *Type of IC −0.098 0.083 0.061 0.057 −0.118 0.082
Acute Admission Avoidance Service*Type of IC 0.110 0.064 0.039 0.039 0.086 0.063
Alternative to IC – Other *Type of IC 0.137 0.084 0.133 0.059* 0.140 0.082
Alternative to IC – Home*Type of IC 0.086 0.106 −0.027 0.049 0.070 0.104
Alternative to IC – Hospital *Type of IC (Reference Group)       
_constant 0.157 0.101 0.093 0.084 0.100 0.105
N   688 1,105    688
Censored obs       417
R-Squared   0.284 0.266    0.634
Rho       0.950
  1. * 5% level of significance, ** 1% level of significance;
  2. Dependent variable: change in EQ-5D, IC = Intermediate care
  3. aMethod 1 assumes that missing data are MCAR; bMethod 2 assumes that missing data are MAR; cMethod 3 assumes that missing data are MNAR.