Accurate Regression Parameters and Summary Statistics Estimation - PowerPoint PPT Presentation

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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

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 ‘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
Example Protein
Simple Imputation – Detection Limit
Simple Imputation - Mean
Model-based Imputation
ROC Curve for Numerical Estimation
Half of the Detection Limit
NORM
NORM Squeezed
Estimating Regression Coefficients
Estimating the Mean
Collaborators: Firouzeh Noghrehchi John McKinlay

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