18 citations · 20 across the 6 of their papers we have counts for
7 papers
On estimation of the effect lag of predictors and prediction in functional linear model
Haiyan Liu, Georgios Aivaliotis, Jeanine Houwing-Duistermaat
We propose a functional linear model to predict a response using multiple functional and longitudinal predictors and to estimate the effect lags of predictors. The coefficient func…
Prediction and forecasting models based on patient's history and biomarkers with application to Scleroderma disease
Haiyan Liu, Francesco Del Galdo, Jeanine Houwing-Duistermaat
This paper aims at predicting lung function values based on patients historical lung function values and serum biomarkers in Scleroderma patients. The progression of disease is mea…
On trend and its derivatives estimation in repeated time series with subordinated long-range dependent errors
Haiyan Liu, Jeanine Houwing-Duistermaat
For temporal regularly spaced datasets, a lot of methods are available and the properties of these methods are extensively investigated. Less research has been performed on irregul…
Probabilistic partial least squares model: Identifiability, estimation and application
Said el Bouhaddani, Hae-Won Uh, Caroline Hayward +2
With a rapid increase in volume and complexity of data sets, there is a need for methods that can extract useful information, for example the relationship between two data sets mea…
Secondary Phenotype Analysis in Ascertained Family Designs: Application to the Leiden Longevity Study
Renaud Tissier, Roula Tsonaka, Simon P. Mooijaart +2
The case-control design is often used to test associations between the case-control status and genetic variants. In addition to this primary phenotype a number of additional traits…
On the combination of omics data for prediction of binary outcomes
Mar Rodríguez-Girondo, Alexia Kakourou, Perttu Salo +5
Enrichment of predictive models with new biomolecular markers is an important task in high-dimensional omic applications. Increasingly, clinical studies include several sets of suc…
Sequential double cross-validation for assessment of added predictive ability in high-dimensional omic applications
Mar Rodríguez-Girondo, Perttu Salo, Tomasz Burzykowski +3
Enriching existing predictive models with new biomolecular markers is an important task in the new multi-omic era. Clinical studies increasingly include new sets of omic measuremen…