Klaus K. Holst
Klaus K. Holst
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Journal article
Date
2018
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2010
A two-stage estimation procedure for non-linear structural equation models
Applications of structural equation models (SEMs) are often restricted to linear associations between variables. Maximum likelihood …
Klaus Kähler Holst
,
Esben Budtz-Jørgensen
Preprint
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DOI
Modeling the cumulative incidence function of multivariate competing risks data allowing for within-cluster dependence of risk and timing
We propose to model the cause-specific cumulative incidence function of multivariate competing risks data using a random effects model …
Luise Cederkvist
,
Klaus Kähler Holst
,
Klaus Kaa Andersen
,
Thomas Scheike
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DOI
Cox regression with missing covariate data using a modified partial likelihood method
Missing covariate values is a common problem in survival analysis. In this paper we propose a novel method for the Cox regression model …
Torben Martinussen
,
Klaus Kähler Holst
,
Thomas H. Scheike
Preprint
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DOI
The liability threshold model for censored twin data
Family studies provide an important tool for understanding etiology of diseases, with the key aim of discovering evidence of family …
Klaus Kähler Holst
,
Thomas H. Scheike
,
Jacob Hjelmborg
Preprint
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DOI
Measuring early or late dependence for bivariate lifetimes of twins
We consider data from the Danish twin registry and aim to study in detail how lifetimes for twin-pairs are correlated. We consider …
Thomas H. Scheike
,
Klaus Kähler Holst
,
Jacob B. Hjelmborg
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DOI
Linear latent variable models: the lava-package
An R package for specifying and estimating linear latent variable models is presented. The philosophy of the implementation is to …
Klaus Kähler Holst
,
Esben Budtz-Jørgensen
Preprint
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DOI
Convergence of Markov Chains in Information Divergence
Information theoretic methods are used to prove convergence in information divergence of reversible Markov chains. Also some ergodic …
Peter Harremoës
,
Klaus Kähler Holst
Preprint
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DOI
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