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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.