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Profile Likelihood Estimation of the Correlation Coefficient in the Presence of Left, Right or Interval Censoring and Missing Data.
- Source :
-
R Journal . Dec2018, Vol. 10 Issue 2, p159-179. 21p. - Publication Year :
- 2018
-
Abstract
- We discuss implementation of a profile likelihood method for estimating a Pearson correlation coefficient from bivariate data with censoring and/or missing values. The method is implemented in an R package clikcorr which calculates maximum likelihood estimates of the correlation coefficient when the data are modeled with either a Gaussian or a Student t-distribution, in the presence of left, right, or interval censored and/or missing data. The R package includes functions for conducting inference and also provides graphical functions for visualizing the censored data scatter plot and profile log likelihood function. The performance of clikcorr in a variety of circumstances is evaluated through extensive simulation studies. We illustrate the package using two dioxin exposure datasets. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MISSING data (Statistics)
*RECORDS management software
Subjects
Details
- Language :
- English
- ISSN :
- 20734859
- Volume :
- 10
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- R Journal
- Publication Type :
- Academic Journal
- Accession number :
- 135052331