Accurate Regression Parameters and Summary Statistics Estimation - - PowerPoint PPT Presentation

accurate regression parameters and summary statistics
SMART_READER_LITE
LIVE PREVIEW

Accurate Regression Parameters and Summary Statistics Estimation - - PowerPoint PPT Presentation

Accurate Regression Parameters and Summary Statistics Estimation in Data with Censored Missing Values Yuliya Karpievitch Imputation And Censored Values Yuliya Karpievitch Missing Values and Imputation Some algorithms expect a


slide-1
SLIDE 1

Yuliya Karpievitch

Accurate Regression Parameters and Summary Statistics Estimation in Data with Censored Missing Values

slide-2
SLIDE 2

Yuliya Karpievitch

Imputation And Censored Values

slide-3
SLIDE 3

Missing Values and Imputation

  • Some algorithms expect a ‘complete’ matrix
  • Differential Expression Analysis is affected by

missing values

  • Censored values are lower than the observed ones
  • Simple imputation methods are not good enough
slide-4
SLIDE 4

Example Protein

slide-5
SLIDE 5

Simple Imputation – Detection Limit

slide-6
SLIDE 6

Simple Imputation - Mean

slide-7
SLIDE 7

Model-based Imputation

slide-8
SLIDE 8

ROC Curve for Numerical Estimation

slide-9
SLIDE 9
slide-10
SLIDE 10
slide-11
SLIDE 11

Half of the Detection Limit

slide-12
SLIDE 12

NORM

slide-13
SLIDE 13

NORM Squeezed

slide-14
SLIDE 14

Estimating Regression Coefficients

slide-15
SLIDE 15

Estimating the Mean

slide-16
SLIDE 16

Collaborators: Firouzeh Noghrehchi John McKinlay