Essays about: "Data missingness"

Showing result 1 - 5 of 9 essays containing the words Data missingness.

  1. 1. An Empirical Investigation of The Effect of Proxy Response and The Merits of Its Remedial Measures

    University essay from Högskolan Dalarna/Institutionen för information och teknik

    Author : Charles Edward Okon; Randi Kalanika Assalaarachchi; [2023]
    Keywords : missing data; proxy response; missingness mechanism; error-in-variable; logistic regression; Monte-Carlo simulation; missing at random; complete case analysis; proxy substitution; multiple imputation; inverse probability treatment weighting;

    Abstract : In the event of missing data, substitution of data from proxy sources are usually considered a very useful alternative when available to avoid the problem of missingness. Nonetheless, research has also shown that this approach often induces “response bias”. READ MORE

  3. 2. Inverse probability weighted generalised estimating equations for longitudinal data

    University essay from Lunds universitet/Matematisk statistik

    Author : Andrea Mattsson; [2021]
    Keywords : weighted generalised estimating equations; inverse probability weighting; longitudinal study; missing data; truncation by death; lung function; FEV1; Mathematics and Statistics;

    Abstract : Longitudinal study designs, in which variables of interest are observed at multiple time points in a study population, are frequently used in clinical research. Missing data are common in these types of studies. Moreover, in studies investigating a population where the mortality rate is high, data can be truncated by death. READ MORE

  4. 3. AI applications on healthcare data

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Oscar Andersson; Tim Andersson; [2021]
    Keywords : AI; Machine Learning; Data missingness; healthcare;

    Abstract : The purpose of this research is to get a better understanding of how different machine learning algorithms work with different amounts of data corruption. This is important since data corruption is an overbearing issue within data collection and thus, in extension, any work that relies on the collected data. READ MORE

  5. 4. Comparison of multiple imputation methods for missing data : A simulation study

    University essay from Umeå universitet/Statistik

    Author : Sjoerd Schelhaas; [2021]
    Keywords : ;

    Abstract : Despite a well-designed and controlled study, missing values are consistently present inresearch. It is well established that when disregarding missingness by analyzing completecases only, statistical power is reduced and parameter estimates are biased. READ MORE

  6. 5. Estimation of Regression Coefficients under a Truncated Covariate with Missing Values

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Ragna Reinhammar; [2019]
    Keywords : Key words: missing data handling; linear regression; truncated normal distribution; EM-algorithm; Listwise Deletion; MICE;

    Abstract : 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