Sökning: "Listwise Deletion"
Hittade 3 uppsatser innehållade orden Listwise Deletion.
- Kandidat-uppsats, Uppsala universitet/Statistiska institutionen
Sammanfattning : 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. LÄS MER
- Master-uppsats, Linköpings universitet/Statistik och maskininlärning
Sammanfattning : 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. LÄS MER
- Master-uppsats, Uppsala universitet/Statistiska institutionen
Sammanfattning : 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. LÄS MER