Search

Results: 168
Admissible multiarm stepped-wedge cluster randomized trial designs.
Numerous publications have now addressed the principles of designing, analyzing, and reporting the results of stepped-wedge cluster randomized trials. In contrast, there is little research available pertaining to the design and...
Published by:
Fast Nonparametric Clustering of Structured Time-Series.
In this publication, we combine two Bayesian nonparametric models: the Gaussian Process (GP) and the Dirichlet Process (DP). Our innovation in the GP model is to introduce a variation on the GP prior which enables us to model...
Published by:
Sphere-sphere intersection for investment portfolio diversification - A new data-driven cluster analysis.
Aiming at supporting the process of investment portfolio diversification by using a data-driven approach, the present methodological paper proposes a new cluster analysis, which compares publicly traded companies, mainly in...
Published by:
MR-Clust
MOTIVATION: Mendelian randomization is an epidemiological technique that uses genetic variants as instrumental variables to estimate the causal effect of a risk factor on an outcome. We consider a scenario in which causal...
Published by:
Multiple kernel learning for integrative consensus clustering of omic datasets.
MOTIVATION: Diverse applications-particularly in tumour subtyping-have demonstrated the importance of integrative clustering techniques for combining information from multiple data sources. Cluster Of Clusters Analysis (COCA) is...
Published by:
Gene expression during Drosophila melanogaster egg development before and after reproductive diapause.
BACKGROUND: Despite the importance of egg development to the female life cycle in Drosophila, global patterns of gene expression have not been examined in detail, primarily due to the difficulty in isolating synchronised...
Published by:
A note on obtaining correct marginal predictions from a random intercepts model for binary outcomes.
BACKGROUND: Clustered data with binary outcomes are often analysed using random intercepts models or generalised estimating equations (GEE) resulting in cluster-specific or 'population-average' inference, respectively. METHODS...
Published by:
Cancer stem cell markers in breast cancer
INTRODUCTION: The cancer stem cell (CSC) hypothesis states that tumours consist of a cellular hierarchy with CSCs at the apex driving tumour recurrence and metastasis. Hence, CSCs are potentially of profound clinical importance....
Published by:

|<

<

1

2

3

4

5

>

>|