To end of 2.5.2
To end of 2.13
Ends somewhere in 2.16
End somewhere in 2.20.5
The rest of it
100

This is the process of creating the list of genotype sets and assigning weights to each set that reflect how well they fit the evidence profile.

What is deconvolution?

100

These factors have a large effect on peak variance.

What are different profiling kits, different PCR reaction volumes, and different generations of electrophoresis instruments?

100

At each iteration of the MCMC, STRmix builds a picture of an expected profile and ultimately compares it to the observed profile data to calculate [blank].

What is a likelihood ratio?

100

To create a model of observed data a dataset of multiple single source profiles representing a range of peak heights are used to determine the distributions of these variables.

What are k^2 for stutter peaks and c^2 for allelic peaks?

100

These values can be used as a guide as to the level of stochastic variation in peak heights that is present in the profile.

What are allele and stutter variance constants?

200

This process uses random number generation and acceptance-rejection sampling to obtain a sampling from the posterior distribution of a set of mass parameters.

What is MCMC?

200

This phenomenon does not affect the CCD camera gradually, rather it it occurs suddenly and at a particular point. 

What is saturation?

200

This process is where all of the genotypes combinations are determined from the input files and from any assumed reference files.

What is pre burn-in
200

[Blank blank blank] variability is significantly lower  than allelic peak height variability.

What is stutter peak height variability? 
200

When considering the hierarchy of propositions this level only looks at one component of a DNA profile.  

What is sub-sub source?

300

The sum of the allelic product and the stutter product is known as this.

What is total allelic product?

300
When determining a plausible mass for a dropout  (Q) peak this is not factored into the equation.
What is stutter?
300

After an iteration new mass parameter values are proposed.  The distance between these steps is based on a normal distribution and is known as this type of random walk.

What is Gaussian?

300
This method compares within-chain variance and between-chain variance for the M chains.

What is the Gelman-Rubin convergence diagnostic?

300

This is what varNOC stands for.

What is variable number of contributors?

400

Contributions from each contributor's [blank] and [blank] are summed to produce a vector of expected peak heights, E, given a set of mass parameters

What are allele and stutter?

400

Degradation, locus amplification efficiencies and other biological models such as kit efficiency do not affect these types of peak heights.

What are drop-in peaks?

400

The time between when the MCMC starts and when this state is reached is termed the burn-in phase.

What is equilibrium?

400

Effective sampling size is the number of [blank] samples that have been taken from the posterior distribution of the MCMC likelihood.  

What is independant?

400

These are the three ways and LR can be assigned in a varNOC interpretation.

What are (1) the stratified method (2) the MLE method and (3) user defined?

500

A component-wise MCMC is used to overcome the massive amount of computing power and time required to analyze samples.  The component-wise MCMC splits the [blank blank] for each [blank]

What are mass parameters and profile?

500

During each [blank], STRmix builds up a picture of the profile it is expecting to see, given the mass parameter values and genotype sets being posited.

What is iteration of the MCMC?

500

This algorithm compares the current to the proposed state.

What is Metropolis-Hastings?

500

The main diagnostics for STRmix can be found in this section of the deconvolution report.

What is the post burn-in summary?

500

In the future, if IMCFSA purchases another installation of STRmix v 2.8 an easy way to ensure run settings between different installations are the same is to do this during performance check.

What is set the same seed for two identical interpretations or LR calculations?

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