Search results for " Hazard Model"

showing 5 items of 5 documents

DgCox: a differential geometric approach for high-dimensional Cox proportional hazard models

2014

Many clinical and epidemiological studies rely on survival modelling to detect clinically relevant factors that affect various event histories. With the introduction of high-throughput technologies in the clinical and even large-scale epidemiological studies, the need for inference tools that are able to deal with fat data-structures, i.e., relatively small number of observations compared to the number of features, is becoming more prominent. This paper will introduce a principled sparse inference methodology for proportional hazards modelling, based on differential geometrical analyses of the high-dimensional likelihood surface.

Proportional hazard modelling least angle regression differential geometry sparse inferenceSettore SECS-S/01 - Statistica
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Landslide analysis in the Iato river basin (north-western Sicily, Italy)

2006

Settore GEO/04 - Geografia Fisica E GeomorfologiaLandlside Hazard Model Topographic Attributes Iato River Basin Sicily ItalySettore GEO/05 - Geologia Applicata
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Modello di regressione esteso per l'analisi semiparametrica dei dati di sopravvivenza

Settore SECS-S/01 - Statisticasopravvivenza hazard accelerated failure time model accelerated hazard model extended hazard model
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A segmented regression model for event history data: an application to the fertility patterns in Italy

2009

We propose a segmented discrete-time model for the analysis of event history data in demographic research. Through a unified regression framework, the model provides estimates of the effects of explanatory variables and jointly accommodates flexibly non-proportional differences via segmented relationships. The main appeal relies on ready availability of parameters, changepoints, and slopes, which may provide meaningful and intuitive information on the topic. Furthermore, specific linear constraints on the slopes may also be set to investigate particular patterns. We investigate the intervals between cohabitation and first childbirth and from first to second childbirth using individual data …

Statistics and Probabilityparity progressionmedia_common.quotation_subjectPostponementEvent historyAppealFertilityevent occurence dataRegressionchangepointCohabitationdiscrete-time hazard modelStatisticsEconometricsStatistics Probability and UncertaintySegmented regressionPsychologySet (psychology)segmented regressionSettore SECS-S/01 - Statisticamedia_common
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Goodness-of-fit tests for parametric excess hazard rate models with covariates

2017

In this paper we propose a general methodology for testing the null hypothesis that an excess hazard rate model, with or without covariates, belongs to a parametric family. Estimating the excess hazard rate function parametrically through the maximum likelihood method and non-parametrically (or semi-parametrically) we build a discrepancy process which is shown to be asymptotically Gaussian under the null hypothesis. Based on this result we are able to build some statistical tests in order to decide wether or not the null hypothesis is acceptable. We illustrate our results by the construction of chi-square tests which the behavior is studied through a Monte-Carlo study. Then the testing proc…

[STAT]Statistics [stat]Proportional excess hazards modelSemiparametric estimation[ STAT ] Statistics [stat]Maximum likelihood estimationNonparametric estimationcolon cancer dataCovariatesExcess hazard model[STAT] Statistics [stat]
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