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Related Concept Videos

Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

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The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
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General Properties of Solutions02:12

General Properties of Solutions

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Many common substances around us exist as a solution, such as ocean water, air, and gasoline. All solutions are mixtures of substances that are composed of varying amounts of two or more types of atoms or molecules. A mixture with a non-uniform composition is a heterogeneous mixture, whereas a mixture with a uniform composition is a homogeneous mixture. The components that make the homogeneous mixture are evenly spread out and thoroughly mixed. 
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Ideal Solutions02:24

Ideal Solutions

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According to Raoult’s law, the partial vapor pressure of a solvent in a solution is equal or identical to the vapor pressure of the pure solvent multiplied by its mole fraction in the solution. However, Raoult's Law is only valid for ideal solutions. For a solution to be ideal, the solvent-solute interaction must be just as strong as a solvent-solvent or solute-solute interaction. This suggests that both the solute and the solvent would use the same amount of energy to escape to the...
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Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

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The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
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Intermolecular Forces in Solutions02:28

Intermolecular Forces in Solutions

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The formation of a solution is an example of a spontaneous process, a process that occurs under specified conditions without energy from some external source.
When the strengths of the intermolecular forces of attraction between solute and solvent species in a solution are no different than those present in the separated components, the solution is formed with no accompanying energy change. Such a solution is called an ideal solution. A mixture of ideal gases (or gases such as helium and argon,...
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Solution Formation02:16

Solution Formation

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There is no one solvent that can dissolve every type of solute. Some substances that readily dissolve in a certain solvent might be insoluble in a different solvent. A simple way to predict which substances dissolve in which solvent is the phrase "like dissolves like". This means that polar substances, such as salt and sugar, dissolve in a polar substance like water. In contrast, non-polar substances are more soluble in non-polar solvents such as carbon tetrachloride.
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Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
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A solution for the rare type match problem when using the DIP-STR marker system.

G Cereda1, R D Gill2, F Taroni1

  • 1University of Lausanne, School of Criminal Justice, Institute of Forensic Science, 1015 Lausanne-Dorigny, Switzerland.

Forensic Science International. Genetics
|February 13, 2018
PubMed
Summary
This summary is machine-generated.

This study addresses the rare type match problem in DNA profiling, common with DIP-STR markers. A modified Bayesian network model calculates likelihood ratios for unknown alleles, improving forensic DNA analysis.

Keywords:
Bayes factorDeletion/Insertion polymorphismExtremely unbalanced DNA mixturesLikelihood ratioObject-oriented Bayesian networks

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Area of Science:

  • Forensic Science
  • Genetics
  • Statistics

Background:

  • The rare type match problem occurs when DNA profiles contain alleles absent from reference databases.
  • This is particularly prevalent with the DIP-STR marker system due to limited database sizes, complicating frequency estimation.
  • Existing Bayesian network models are insufficient for addressing this specific challenge.

Purpose of the Study:

  • To extend and modify an object-oriented Bayesian network for the rare type match problem.
  • To enable calculation of the full Bayesian likelihood ratio for any allele, observed or unobserved.
  • To compare the full Bayesian approach with alternative methods like plug-in approximation and empirical Bayesian methodology.

Main Methods:

  • Adaptation of a previously proposed object-oriented Bayesian network.
  • Incorporation of methods for handling unobserved alleles within the likelihood ratio calculation.
  • Comparison of the extended model's results against plug-in and empirical Bayesian approaches.

Main Results:

  • The modified Bayesian network successfully calculates full Bayesian likelihood ratios for rare type matches.
  • The study provides a framework for evaluating DNA evidence in challenging scenarios involving novel alleles.
  • Performance of the full Bayesian approach is evaluated against alternative statistical methods.

Conclusions:

  • The extended Bayesian network model offers a robust solution for the rare type match problem in forensic DNA analysis.
  • This advancement is crucial for accurate interpretation of DNA evidence, especially when using marker systems like DIP-STR.
  • The research contributes to more sophisticated evaluative procedures in forensic genetics.