Table 1.
Publications of conceptual components of STRmix™ modelling.
| Algorithms, Scientific Principles and Methods | Version Introduced | Reference |
|---|---|---|
| Allele and stutter peak height variability as separate constants within the MCMC | V2.0 | [15] |
| Peak height variability as random variables within the MCMC | V2.3 | [196] |
| Model for calibrating laboratory peak height variability | V2.0 | [196] |
| Application of a Gaussian random walk to the MCMC process | V2.3 | [205] |
| Modelling of back stutter by regressing stutter ratio against allelic designation | V2.0 | [156,197,206,207] |
| Modelling of back stutter by regressing stutter ratio against LUS | V2.3 | [156,162,206,207] |
| Modelling of forward stutter | V2.4 | [157] |
| Modelling of allelic drop-in using a simple exponential or uniform distribution | V2.0 | [15] |
| Modelling of allelic drop-in using a γ distribution | V2.3 | [13] |
| Modelling of degradation and dropout | V2.0 | [154] |
| Modelling of the uncertainties in the allele frequencies using the HPD | V2.0 | [208] |
| Modelling of the uncertainties in the MCMC | V2.3 | [171,208,209] |
| Database searching of mixed DNA profiles | V2.0 | [190] |
| Familial searching of mixed DNA profiles | V2.3 | [168] |
| Relatives as alternate contributors under the defence proposition | V2.3 | [168] |
| Modelling expected stutter peak heights in saturated data | V2.3 | [157] |
| Taking into account the ‘factor of two’ in LR calculations | V2.3 | [104] |
| Model for incorporating prior beliefs in mixture proportions | V2.3 | [210] |
| Combining DNA profiles produced under different conditions into a single analysis | V2.5 | [155] |
| Assigning a range for the number of contributors to a DNA profile | V2.6 | [164] |
| Mixture-to-mixture comparison to identify common DNA donors | V2.7 | [20] |
| A top-down DNA search approach | V2.8 | [74] |
| The diagnostic outputs of STRmix™ | V2.3 | [211] |