Intro to Forensic Statistics - Promega

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This estimate is strictly driven by database size: N min allele freq 100 2.50 % (0.025) 150 1.67 % (0.0167) 200 1.25 % (0.0125) 250 1.00 % (0.01) 300 0.83 % (0.0083) Where N is the number of individuals in database
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 50 and 51: So the only other real thing left t
Page 52 and 53: Human Genetic Variation between pop
Page 54 and 55: Employ a Theta (θ) Correction θ i
Page 56: National Research Council Report II
Page 59 and 60: Modifying the product rule Formula
Page 61 and 62: Although we CAN correct the heteroz
Page 63 and 64: So how do we deal with these concep
Page 66: If we want to use 0.03 θ
Page 69: WHERE CAN WE FIND INFORMATION ON WH
Page 74 and 75: When and why should we consider thi
Page 77: If we want to use 0.03 θ
Page 80 and 81: So, PopStats has given us the numbe
Page 82 and 83: Source attribution Hot topic for st
Page 84 and 85: Big Number Names: 1,000,000 million
Page 86 and 87: NRC II May 1996 “...that profile
Page 88 and 89: Define the Question (or at least ma
Page 90 and 91: Uniqueness / Source Attribution Web
Page 92 and 93: Uniqueness A profile that exists in
Page 94 and 95: Let the RMP of a given evidentiary
Page 96 and 97:
Source Attribution Values Calculate
Page 98 and 99:
RMP thresholds for source attributi
Page 100 and 101:
So with our PopStats results obtain
Page 102 and 103:
We are not stating that ________ is
Page 104 and 105:
Source Attribution • N can be con
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Intro to Forensic Statistics - Promega

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