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. 2022 Sep 14;44(1):67–77. doi: 10.1093/epirev/mxac006

Table 1.

Review of Missing Data and Nonparametric Bootstrap Methods in Economic Evaluations

First Author, Year (Reference No.) Effectiveness Measure a Nonparametric Bootstrap Methods Addressing Missing Data b Resampling Method Combination c
Kraft, 1997 (40) Abstinence 0 Complete case analysis N/A
Avants, 1999 (38) Abstinence, treatment retention 0 Complete case analysis N/A
Hartz, 1999 (39) Abstinence 0 Complete case analysis N/A
Doran, 2003 (53) Abstinence 1 Regress to baseline and mean imputation Imputation before resampling
Doran, 2004 (64) Abstinence 0 Mean imputation N/A
Dijkgraaf, 2005 (52) QALYs 1 Last-observation carried forward Imputation before resampling
Harris, 2005 (51) QALYs, abstinence 1 Last-observation carried forward Imputation before resampling
Doran, 2006 (65) Abstinence 1 Parametric imputation Imputation before resampling
Bell, 2007 (47) Abstinence, treatment retention 1 Complete case analysis Complete case resampling
Olmstead, 2007 (44) Abstinence 1 Complete case analysis Complete case resampling
Sindelar, 2007 (45) Abstinence 1 Complete case analysis, imputation by assumption Complete case resampling
Fals-Stewart, 2008 (56) Abstinence 0 Single imputation, worst-observation carried forward N/A
Olmstead, 2009 (43) Abstinence 1 Complete case analysis Complete case resampling
Polsky, 2010 (68) QALYs 1 Inverse probability weighting Probability weights within resampling
Lo Sasso, 2012 (62) Abstinence, illegal activity 1 Regression-based single imputation Imputation before resampling
Ruger, 2012 (48) Abstinence, treatment retention 1 Complete case analysis, imputation by assumption Complete case resampling
Tran, 2012 (69) QALYS 0 Inverse probability weighting N/A
Byford, 2013 (46) QALYs, abstinence 1 Complete case analysis Complete case resampling
Murphy, 2015 (70) QALYs, abstinence 1 Inverse probability weighting Probability weights within resampling
Drost, 2016 (66) Abstinence 1 Complete case analysis, subgroup sensitivity analysis Complete case resampling
Goorden, 2016 (58) QALYs 1 Complete case analysis, linear interpolation Imputation before resampling
Murphy, 2016 (71) QALYs, abstinence 1 Inverse probability weighting Probability weights within resampling
Busch, 2017 (50) Abstinence, treatment retention 1 Mean imputation, imputation by assumption Imputation before resampling
Heslin, 2017 (60) QALYs 1 Complete case analysis, subgroup mean and regression imputation Imputation before resampling
Dunlop, 2017 (54) Abstinence 1 Baseline observation carried forward Imputation before resampling
Murphy, 2017 (72) QALYs, abstinence 1 Inverse probability weighting Probability weights within resampling
Dunlap, 2018 (55) Abstinence 1 Baseline observation carried forward Imputation before resampling
Murphy, 2019 (49) QALYs, abstinence 1 Inverse probability weighting Probability weights within resampling
Rains, 2019 (61) Abstinence, adverse events 1 Regression-based single imputation Imputation before resampling

Abbreviations: N/A, not applicable; QALY, quality-adjusted life year.

a Abstinence included longest days of abstinence, time to drug use, and continuous measures of abstinence; adverse event indicates acute psychiatric admissions.

b Single imputation indicates regression or matching based on participant characteristics.

c Imputation before resampling in the resampling method combination column applied to single, mean, assumption, and carry-forward methods.