Essays about: "Listwise deletion"
Found 4 essays containing the words Listwise deletion.
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1. Missing Data - A Gentle Introduction
University essay from Uppsala universitet/Statistiska institutionenAbstract : This thesis provides an introduction to methods for handling missing data. A thorough review of earlier methods and the development of the field of missing data is provided. The thesis present the methods suggested in today’s literature, multiple imputation and maximum likelihood estimation. READ MORE
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2. Estimation of Regression Coefficients under a Truncated Covariate with Missing Values
University essay from Uppsala universitet/Statistiska institutionenAbstract : By means of a Monte Carlo study, this paper investigates the relative performance of Listwise Deletion, the EM-algorithm and the default algorithm in the MICE-package for R (PMM) in estimating regression coefficients under a left truncated covariate with missing values. The intention is to investigate whether the three frequently used missing data techniques are robust against left truncation when missing values are MCAR or MAR. READ MORE
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3. Effects of Missing Values on Neural Network Survival Time Prediction
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Data sets with missing values are a pervasive problem within medical research. Building lifetime prediction models based solely upon complete-case data can bias the results, so imputation is preferred over listwise deletion. READ MORE
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4. Comparison of Imputation Methods on Estimating Regression Equation in MNAR Mechanism
University essay from Statistiska institutionenAbstract : In this article, we propose an overview of missing data problem, introduce three missing data mechanisms and study general solutions to them when estimating a linear regression equation. When we have partly missing data, there are two common ways to solve this problem. One way is to ignore those records with missing values. READ MORE
