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1. Addition of a 161-SNP polygenic risk score to family history-based risk prediction: Impact on clinical management in non- BRCA1/2 breast cancer families: (Publication); Background The currently known breast cancer-associated single nucleotide polymorphisms (SNPs) are presently not used to guide clinical management. We explored whether a genetic test that incorporates ...; Created on 26 September 2019
2. Complex decongestive therapy in the early stages of breast cancer-related lymphoedema: (Publication); Objectives To analyse the outcomes of Complex Decongestive Therapy (CDT) applied for the first time in patients with Breast Cancer-Related Lymphoedema (BCRL) stages 0-I. Material and methods A descriptive ...; Created on 24 September 2019
3. Predictive factors of satisfaction and quality of life after immediate breast reconstruction using the BREAST-Q: (Publication); Aims and objectives: To analyse quality of life and satisfaction after immediate breast reconstruction due to cancer and its determining factors. Background: Studying breast reconstruction is important ...; Created on 08 October 2018
4. Improving stability of prediction models based on correlated omics data by using network approaches: (Publication); Building prediction models based on complex omics datasets such as transcriptomics, proteomics, metabolomics remains a challenge in bioinformatics and biostatistics. Regularized regression techniques are ...; Created on 22 May 2018
5. Performance of BRCA1/2 mutation prediction models in male breast cancer patients: (Publication); To establish whether existing mutation prediction models can identify which male breast cancer (MBC) patients should be offered BRCA1 and BRCA2 diagnostic DNA screening, we compared the performance of ...; Created on 22 May 2018
6. Bootstrap-based procedures for inference in nonparametric receiver-operating characteristic curve regression analysis: (Publication); Prior to using a diagnostic test in a routine clinical setting, the rigorous evaluation of its diagnostic accuracy is essential. The receiver-operating characteristic curve is the measure of accuracy most ...; Created on 22 May 2018
7. On the Combination of Omics Data for Prediction of Binary Outcomes: (Publication); Enrichment of predictive models with new biomolecular markers is an important task in high-dimensional omic applications. Increasingly, clinical studies include several sets of such omics markers available ...; Created on 10 October 2018
8. Quality of life and anxiety in women with breast cancer before and after treatment.: (Publication); Objectives: to determine the quality of life and anxiety in patients with breast cancer and the changes they experience after treatments. Method: prospective study. Breast cancer statistics (n=339, confidence=95%, ...; Created on 08 October 2018
9. Boostrap-based procedures for inference in nonparametric ROC regression analysis: (Publication); Before the use of a diagnostic test in a routine clinical setting, the rigorous evaluation of its diagnostic accuracy is an essential step. The receiver operating characteristic (ROC) curve is the measure ...; Created on 10 December 2016
10. Nonparametric estimation of the survival function for ordered multivariate failure time data: A comparative study: (Publication); In longitudinal studies of disease, patients may experience several events through a follow-up period. In these studies, the sequentially ordered events are often of interest and lead to problems that ...; Created on 04 November 2016
11. Bandwidth selection for the estimation of transition probabilities in the location-scale progressive three-state model: (Publication); Times between consecutive events are often of interest in medical studies. Usually the events represent different states of the disease process and are modeled using multi-state models. This paper introduces ...; Created on 04 September 2017
12. A Simulation Study on the Impact of Strong Dependence in High-Dimensional Multiple-Testing I: The Case without Effects: (Publication); When working with high-dimensional biological data the so-called multiple hypothesis testing problem emerges. That is, when many separate tests are performed, several will be significant by chance provoking ...; Created on 10 January 2019
13. Assessing continuous bivariate effects among different groups through nonparametric regression models. An application to breast cancer detection: (Publication); Created on 12 September 2017