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 |