Intro to Forensic Statistics - Promega

More documents

Recommendations

Info

Uniqueness A profile that exists in one person and no other (excluding identical twins) Context? • Population of the world…maybe • Population of the US….there is a thought! • Population with access to a crime scene…
Uniqueness A profile that exists in one person and no other (excluding identical twins) Actually we are interested in source attribution, not whether the profile is unique in the world Is it reasonable to consider the profile to be so rare that one can opine about the source of the evidence?
Page 1 and 2:
Popstats Unplugged 14 th Internatio
Page 3 and 4:
Why so much attention to statistics
Page 5 and 6:
Statistical Analysis Focus on the q
Page 7 and 8:
So, what are we really after? Quant
Page 9 and 10:
Terminology Genetic marker variant
Page 11 and 12:
POPULATION DATA and Statistics DNA
Page 13 and 14:
Because data are not available for
Page 15:
Population database Look up how oft
Page 19:
You can get other population databa
Page 24 and 25:
Anchor principle Analysis of geneti
Page 26 and 27:
The Hardy-Weinberg principle states
Page 28 and 29:
A Hardy-Weinberg Population LARGE P
Page 30 and 31:
Product Rule The frequency of a mul
Page 32:
D3S1358 = 16, 16 (homozygote) Frequ
Page 35 and 36:
ProfIler Plus Item D3S1358 vWA FGA
Page 38 and 39:
VWA = 15, 17 (heterozygote) Frequen
Page 40 and 41:
Steps - Single Sample Target Profil
Page 42 and 43: Minimum allele frequency The first
Page 44 and 45: Minimum allele frequency This metho
Page 46: This estimate is strictly driven by
Page 51 and 52: Population Subdivision We've always
Page 53 and 54: Problems created by population subd
Page 55 and 56: National Research Council Report II
Page 58 and 59: Modifying the product rule Use corr
Page 60 and 61: HWE: NRC II, 4.4a: NRC II, 4.10a: [
Page 62 and 63: Theta Values Commonly Employed 0.01
Page 64: This is the default using 0.01 θ
Page 68 and 69: θ = 0.01 θ = 0.03
Page 73 and 74: Ok…so lets look at our other main
Page 75: Here it is using the default of 0.0
Page 79 and 80: θ = 0.01 θ = 0.03
Page 81 and 82: Well, We report them of course! But
Page 83 and 84: So, how do you want to express this
Page 85 and 86: Even Bigger Number Names: 1 x 10 36
Page 87 and 88: To address uniqueness we are back t
Page 89 and 90: Define the Question Estimates of th
Page 91: Uniqueness / Source Attribution Web
Page 95 and 96: Source Attribution • Specify (1-
Page 97 and 98: The standard basis that is used her
Page 99 and 100: So with our PopStats results obtain
Page 101 and 102: “To a reasonable degree of scient
Page 103 and 104: Source Attribution • Method is si
Page 105: Random match probability is NOT Cha
show all

Intro to Forensic Statistics - Promega

Create successful ePaper yourself

Delete template?

Save as template?