Extended Abstracts Fall 2015
Extended Abstracts Fall 2015
Biomedical Big Data; Statistics for Low Dose Radiation Research
Ainsbury, Elizabeth A.; Gomez, Guadalupe; Calle, M.Luz; Puig, Pere; Cardis, Elisabeth; Einbeck, Jochen
Birkhauser Verlag AG
05/2017
131
Mole
Inglês
9783319556383
2292
Descrição não disponível.
PART I.- Foreword.- Extreme Observations in Biomedical Data.- An Ordinal Joint Model for Breast Cancer.- Sample Size Impact on the Categorisation of Continuous Variables in Clinical Prediction.- ntegrative Analysis of Transcriptomics and Proteomics Data for the Characterization of Brain Tissue After Ischemic Stroke.- Applying INAR-Hidden Markov Chains in the Analysis of Under-Reported Data.- Joint Modelling for Flexible Multivariate Longitudinal and Survival Data: Application in Orthotopic Liver Transplantation.- A Multi-State Model for the Progression to Osteopenia and Osteoporosis among HIV-Infected Patients.- Statistical Challenges for Human Microbiome Analysis.- Integrative Analysis to Select Genes Regulated by Methylation in a Cancer Colon Study.- Topological Pathway Enrichment Analysis ofGene Expression in High Grade Serous Ovarian Cancer Reveals Tumor-Stoma Cross-Talk.- PART II.- Foreword.- Biological Dosimetry, Statistical Challenges: Biological Dosimetry after High-Dose Exposuresto Ionizing Radiation.- Heterogeneous Correlation of Multi-Level Omics Data for the Consideration of Inter-Tumoural Heterogeneity.- Overview of Topics Related to Model Selection for Regression.- Understanding Plaque Overlap is Essential for Modelling Radiation Induced Atherosclerosis.- On the Use of Random Effect Models for Radiation Biodosimetry.- Modelling of the Radiation Carcinogenesis: the Analytic and Stochastic Approaches.- Bayesian Solutions to Biodosimetry Count Data Problems and Supporting Software.- Empirical Assessment of Gene Expression Biomarkers for Radiation Exposure.- Poisson-Weighted Estimation by Discrete Kernel with Application to Radiation Biodosimetry.- R Implementation of the Excess Relative Rate Model: Applications to Radiation Epidemiology.- Uncertainty Considerations Following a Mechanistic Analysis of Lung Cancer Mortality.
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HIV research;high dimensional data;integrative omics;penalized regression;survival analysis;time series;Bayesian methods;Ionising radiation;low dose;epidemiology;radiation biology;genetics;inverse regression
PART I.- Foreword.- Extreme Observations in Biomedical Data.- An Ordinal Joint Model for Breast Cancer.- Sample Size Impact on the Categorisation of Continuous Variables in Clinical Prediction.- ntegrative Analysis of Transcriptomics and Proteomics Data for the Characterization of Brain Tissue After Ischemic Stroke.- Applying INAR-Hidden Markov Chains in the Analysis of Under-Reported Data.- Joint Modelling for Flexible Multivariate Longitudinal and Survival Data: Application in Orthotopic Liver Transplantation.- A Multi-State Model for the Progression to Osteopenia and Osteoporosis among HIV-Infected Patients.- Statistical Challenges for Human Microbiome Analysis.- Integrative Analysis to Select Genes Regulated by Methylation in a Cancer Colon Study.- Topological Pathway Enrichment Analysis ofGene Expression in High Grade Serous Ovarian Cancer Reveals Tumor-Stoma Cross-Talk.- PART II.- Foreword.- Biological Dosimetry, Statistical Challenges: Biological Dosimetry after High-Dose Exposuresto Ionizing Radiation.- Heterogeneous Correlation of Multi-Level Omics Data for the Consideration of Inter-Tumoural Heterogeneity.- Overview of Topics Related to Model Selection for Regression.- Understanding Plaque Overlap is Essential for Modelling Radiation Induced Atherosclerosis.- On the Use of Random Effect Models for Radiation Biodosimetry.- Modelling of the Radiation Carcinogenesis: the Analytic and Stochastic Approaches.- Bayesian Solutions to Biodosimetry Count Data Problems and Supporting Software.- Empirical Assessment of Gene Expression Biomarkers for Radiation Exposure.- Poisson-Weighted Estimation by Discrete Kernel with Application to Radiation Biodosimetry.- R Implementation of the Excess Relative Rate Model: Applications to Radiation Epidemiology.- Uncertainty Considerations Following a Mechanistic Analysis of Lung Cancer Mortality.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
