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- Ardo van den Hout, Peter G. M. van der Heijden, Robert Gilchrist
- Computational Statistics & Data Analysis
- 2007

The univariate andmultivariate logistic regressionmodel is discussedwhere response variables are subject to randomized response (RR). RR is an interview technique that can be usedwhen sensitive questions have to be asked and respondents are reluctant to answer directly. RR variables may be described as misclassified categorical variables where conditional… (More)

- Venediktos Kapetanakis, Fiona E Matthews, Ardo Hout
- Statistics in medicine
- 2013

This paper presents a parametric method of fitting semi-Markov models with piecewise-constant hazards in the presence of left, right and interval censoring. We investigate transition intensities in a three-state illness-death model with no recovery. We relax the Markov assumption by adjusting the intensity for the transition from state 2 (illness) to state… (More)

- Ardo van den Hout, Peter Kooiman
- Computational Statistics & Data Analysis
- 2006

The maximum likelihood estimation of the iid normal linear regression model where some of the covariates are subject to randomized response is discussed. Randomized response (RR) is an interview technique that can be used when sensitive questions have to be asked and respondents are reluctant to answer directly. RR variables are described as misclassified… (More)

- Graciela Muniz-Terrera, Ardo van den Hout, R A Rigby, D M Stasinopoulos
- Statistical methods in medical research
- 2016

An important assumption in many linear mixed models is that the conditional distribution of the response variable is normal. This assumption is violated when the models are fitted to an outcome variable that counts the number of correctly answered questions in a questionnaire. Examples include investigations of cognitive decline where models are fitted to… (More)

- Ardo van den Hout, Graciela Muniz-Terrera, Fiona E. Matthews
- Computational Statistics & Data Analysis
- 2013

Random-effects change point models are formulated for longitudinal data obtained from cognitive tests. The conditional distribution of the response variable in a change point model is often assumed to be normal even if the response variable is discrete and shows ceiling effects. For the sum score of a cognitive test, the binomial and the beta-binomial… (More)

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