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Table 5 Percentages of simulated sample haplotype frequencies and population haplotype frequencies that fall outside the confidence intervals of the estimated haplotype frequencies across statistical methods and four conditions of LoDSNP (30%, 20%, 10%, 0%) and LoDMOI (15%, 10%, 5%, 0%)

From: Markov chain Monte Carlo Gibbs sampler approach for estimating haplotype frequencies among multiple malaria infected human blood samples

  MHF R-EM Bayesian EM MCMC Gibbs
Population haplotype (LoDSNP/LoDMOI)       
 0/0 4.90 5.90 14.60 0.70 4.00 3.00
 0.10/0.05 6.20 5.70 15.10 1.00 1.30 1.90
 0.20/0.10 11.40 5.90 18.10 2.00 1.80 2.10
 0.30/0.15 20.00 8.10 23.30 4.30 4.40 3.80
Sample haplotype (LoDSNP/LoDMOI)       
 0/0 6.90 8.30 14.80 4.50 8.00 6.40
 0.10/0.05 7.50 7.50 14.50 4.40 5.10 4.80
 0.20/0.10 11.50 6.80 17.10 4.40 4.40 4.60
 0.30/0.15 20.30 8.20 21.60 5.40 5.40 5.20
  1. Lower value represents higher accuracy
  2. MHF MalHaploFreq, R-EM malaria em, Bayesian Bayesian statistic, EM EM algorithm, MCMC Markov chain Monte Carlo, Gibbs Gibbs sampler, LoD limit of detection, SNP single nucleotide polymorphisms, MOI multiplicity of infection