Browsing by Subject "Prediction"
Now showing items 1-20 of 21
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Article
Are the effects of tamoxifen on the serum lipid profile modified by apolipoprotein E phenotypes?
(2002)Background: Tamoxifen has favorable effects on the serum lipid profile. It has been suggested that the apolipoprotein (Apo) E phenotype can influence serum lipid parameters; the ApoE allele 4 (ApoE4) is associated with ...
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Article
Biomarkers of benefit from cetuximab-based therapy in metastatic colorectal cancer: Interaction of EGFR ligand expression with RAS/RAF, PIK3CA genotypes
(2013)Background: More than half of patients with KRAS-wild type advanced colorectal cancer (CRC) fail anti-EGFR monoclonal antibodies. We studied EGFR-axis messenger RNA (mRNA) expression and RAS, RAF, PIK3CA mutations in order ...
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Article
Bootstrap technology and applications
(1992)Bootstrap resampling methods have emerged as powerful tools for constructing inferential procedures in modern statistical data analysis. Although these methods depend on the availability of fast, inexpensive computing, ...
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Article
Cancer of unknown primary patients with midline nodal distribution: Midway between poor and favourable prognosis?
(2011)Background: Midline nodal cancer of unknown primary (CUP) has varying definitions and an unclear natural history compared to that of extragonadal germ cell cancer (EGCC) and neuroendocrine tumors. Methods: We systematically ...
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Article
Count Time Series Models
(2012)We review regression models for count time series. We discuss the approach that is based on generalized linear models and the class of integer autoregressive processes. The generalized linear models' framework provides ...
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Article
HBV-DNA levels predict overall mortality in HIV/HBV coinfected individuals
(2016)The coinfection of Hepatitis B virus (HBV) and human immunodeficiency virus (HIV) has been associated with increased death rates. However, the relevant research has mostly relied on serologic HBV testing [HBV surface antigen ...
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Article
High-dimensional autocovariance matrices and optimal linear prediction
(2015)A new methodology for optimal linear prediction of a stationary time series is introduced. Given a sample X1,…,Xn, the optimal linear predictor of Xn+1 is Xn+1 = Φ1(n)Xn + Φ2(n)Xn−1 + + Φn(n)X1. In practice, the coefficient ...
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Conference Object
IEEE ICDM 2010 Contest: TomTom Traffic prediction for intelligent GPS Navigation
(2010)In this foreword, we summarize the IEEE ICDM 2010 Contest: "
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Impact of ACE and ApoE polymorphisms on myocardial perfusion: Correlation with myocardial single photon emission computed tomographic imaging
(2009)Coronary artery disease is associated with multiple genetic and environmental risk factors. In this study, we evaluated the correlation of angiotensin l-converting enzyme (ACE) (I/D) and ApoE gene polymorphisms (E2, E3, ...
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Conference Object
Intelligent parking assist
(2013)In this paper a new parking guiding and information system is described. The system assists the user to find the most suitable parking space based on his/her preferences and learned behavior. The system takes into account ...
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Article
Log-linear Poisson autoregression
(2011)We consider a log-linear model for time series of counts. This type of model provides a framework where both negative and positive association can be taken into account. In addition time dependent covariates are accommodated ...
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On binary and categorical time series models with feedback
(2014)We study the problem of ergodicity, stationarity and maximum likelihood estimation for multinomial logistic models that include a latent process. Our work includes various models that have been proposed for the analysis ...
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On weak dependence conditions for Poisson autoregressions
(2012)We consider generalized linear models for regression modeling of count time series. We give easily verifiable conditions for obtaining weak dependence for such models. These results enable the development of maximum ...
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Conference Object
An overview of quantitative magnetic resonance imaging analysis studies in the assessment of alzheimer’s disease
(Springer Verlag, 2016)Medical image analysis and visualization, can contribute in quantitative and qualitative analysis of Magnetic Resonance Imaging (MRI) towards an earlier diagnosis of Alzheimer’s disease (AD). Moreover, the early detection ...
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Palliative chemotherapy in elderly patients with common metastatic malignancies: A Hellenic Cooperative Oncology Group registry analysis of management, outcome and clinical benefit predictors
(2008)Introduction: Cancer in the elderly is a common health issue in developed societies. We sought to present epidemiology, management and outcome data on fit elderly patients with common metastatic cancers and to identify ...
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Predictors of reading development in at-risk kindergarten children
(2002)The purpose of the present study was to examine whether phonological and cognitive tasks predict reading acquisition in a group of at-risk kindergarten children. Planning, attention, simultaneous processing, successive ...
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Article
Prognostic factors in patients with colorectal cancer receiving adjuvant chemotherapy or chemoradiotherapy: A pooled analysis of two randomized studies
(2005)Background. Although the TNM system is useful in predicting survival in resected colorectal cancer, heterogeneity within the same stages regarding prognosis exists. We are presenting a pooled analysis of prognostic factors ...
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Prognostic significance of RACGAP1 mRNA expression in high-risk early breast cancer: A study in primary tumors of breast cancer patients participating in a randomized Hellenic Cooperative Oncology Group trial
(2013)Purpose: RACGAP1 is a Rac GTPase-activating protein involved in cell growth regulation, cell transformation and metastasis. The aim of the present study was to explore the prognostic and/or predictive significance of RACGAP1 ...
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Article
Quasi-likelihood inference for negative binomial time series models
(2014)We study inference and diagnostics for count time series regression models that include a feedback mechanism. In particular, we are interested in negative binomial processes for count time series. We study probabilistic ...
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Some recent progress in count time series
(2011)We reviewsome regression models for the analysis of count time series. These models have been the focus of several investigations over the last years, but only recently simple conditions for stationarity and ergodicity ...