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. Author manuscript; available in PMC: 2017 Jul 30.
Published in final edited form as: Stat Med. 2016 Feb 16;35(17):3021–3032. doi: 10.1002/sim.6908

Table 3.

Analysis of neuropathic pain data using a mixed effects model, with 19% missingness in sample variances. TE denotes treatment effect and SE denotes standard error. NM is no missingness, MI is multiple imputation using gamma meta-regression, ME is mean imputation, SGR is single imputation using gamma meta-regression, SLM is single imputation using linear regression based on the log-variance, and CC is complete case analysis.

Estimated TE Estimated SE 95% CI CI Width
MI −0.7512 0.07342 (−0.8951, −0.6073) 0.2878
ME −0.7521 0.07366 (−0.8965, −0.6078) 0.2888
SGR −0.7525 0.07335 (−0.8963, −0.6088) 0.2875
SLM −0.7541 0.07296 (−0.8971, −0.6111) 0.2860
CC −0.7521 0.08150 (−0.9118, −0.5923) 0.3195
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