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Table 2 Full data estimate of cure at day 28 follow-up using the Kaplan-Meier method and cured proportion

From: Dealing with indeterminate outcomes in antimalarial drug efficacy trials: a comparison between complete case analysis, multiple imputation and inverse probability weighting

Treatment Estimate 95% Confidence Interval SE SE†
Full data K-M a
 AL 0.960 0.948—0.972 0.0061 0.1559
 ASAQ 0.979 0.969—0.989 0.0049 0.2367
 DP 0.983 0.977—0.990 0.0035 0.2082
Full data cured proportion b
 AL 0.964 0.951—0.973 0.0056 0.1562
 ASAQ 0.980 0.968—0.987 0.0047 0.2357
 DP 0.984 0.975—0.989 0.0034 0.2132
  1. AL artemether-lumefantrine , ASAQ artesunate-amodiaquine , DP dihydroartemisinin-piperaquine , SE standard error
  2. † Standard error after complementary log-log transformation. The cloglog transformation was applied as the MI estimates were computed on complementary log-log scale for the application of Rubin’s combination rules to be valid.
  3. a For the derivation of the K-M estimates, new infections were considered as censored on the day of recurrence
  4. bThe estimates of cured proportion (total cured/total number of patients treated) was computed by considering those with new infections as cured. The variance for cured proportion (\( \hat{p} \)) for a total number of patients (n) was calculated as \( \hat{p}\left(1-\hat{p}\right)/n \). The variance was converted to the cloglog scale using the delta method presented in Additional file 1, Section C. The 95% confidence interval was derived using Wilson’s method using binom.confint routine in binom package R.