Results 101 to 110 of about 204,036 (213)

Missing Data and Imputation Methods

open access: yesAnesthesia & Analgesia, 2020
Schober, Patrick, Vetter, Thomas R.
openaire   +3 more sources

Flexible Imputation of Missing Data

open access: yesJournal of Statistical Software, 2018
Hakan Demirtas
doaj   +1 more source

Imputation Methods for Incomplete Dependent Variables in Finance [PDF]

open access: yes
Missing observations in dependent variables is a common feature of many financial applications. Standard ad hoc missing value imputation methods invariably fail to deliver efficient and unbiased parameter estimates.
Paul Kofman, Ian Sharpe
core  

Missing data imputation: focusing on single imputation.

open access: yesAnnals of translational medicine, 2016
Complete case analysis is widely used for handling missing data, and it is the default method in many statistical packages. However, this method may introduce bias and some useful information will be omitted from analysis. Therefore, many imputation methods are developed to make gap end. The present article focuses on single imputation.
openaire   +1 more source

Univariate Multiple Imputation for Coarse Employee Income Data

open access: yes, 2012
This paper is concerned with conducting univariate multiple imputation for employee income data that is comprised of continuously distributed observations, observations that are bounded by consecutive income brackets, and observations that are missing. A
Daniels, Reza C.
core  

Imputation rules to improve the education variable in the IAB employment subsample [PDF]

open access: yes
"The education variable in the IAB employment subsample has two shortcomings: missing values and inconsistencies with the reporting rule. We propose several deductive imputation procedures to improve the variable.
Fitzenberger, Bernd   +2 more
core  

Missing imputation methods explored in big data analytics

open access: yes, 2018
Philosophiae Doctor - PhD (Statistics and Population Studies)The aim of this study is to look at the methods and processes involved in imputing missing data and more specifically, complete missing blocks of data. A further aim of this study is to look at
Brydon, Humphrey Charles
core   +1 more source

Missing data and multiple imputation in clinical epidemiological research

open access: yes, 2017
Alma B Pedersen,1 Ellen M Mikkelsen,1 Deirdre Cronin-Fenton,1 Nickolaj R Kristensen,1 Tra My Pham,2 Lars Pedersen,1 Irene Petersen1,2 1Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus N, Denmark; 2Department of Primary Care and ...
Mikkelsen EM   +6 more
core  

ChatGPT-based Biological and Psychological Data Imputation. [PDF]

open access: yesMeta Radiol, 2023
Nazir A, Cheeema MN, Wang Z.
europepmc   +1 more source

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