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Dissertations / Theses on the topic 'Competing risks survival model'

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Published: 11 December 2022
Last updated: 31 July 2025

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1

Cortese, Giuliana. "Dynamic models for competing risks and relative survival." Doctoral thesis, Università degli studi di Padova, 2008. http://hdl.handle.net/11577/3427193.

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The thesis concerns regression models related to the competing risks setting in survival analysis and deals with both the case of known specific causes and the case of unknown (even if present) specific causes of the event of interest. In the first part, dealing with events whose specific cause is known, competing risks modelling has been applied to a breast cancer study and some of the dynamic aspects such as time-dependent variables are tackled within the context of the application. The aim of the application was to detect an optimal chemotherapy dosage for different typologies of patie
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2

Akcin, Haci Mustafa. "Direct adjustment method on Aalen's additive hazards model for competing risks data." unrestricted, 2008. http://etd.gsu.edu/theses/available/etd-04182008-095207/.

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Thesis (M.S.)--Georgia State University, 2008.<br>Title from file title page. Xu Zhang, committee chair; Yichuan Zhao, Jiawei Liu, Yu-Sheng Hsu, committee members. Electronic text (51 p.) : digital, PDF file. Description based on contents viewed July 15, 2008. Includes bibliographical references (p. 50-51).
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Orenti, A. "SURVIVAL ANALYSIS AND REGRESSION MODELS IN THE PRESENCE OF COMPETING AND SEMI-COMPETING RISKS." Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/253327.

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Evaluation of a therapeutic strategy is complex when the course of a disease is characterized by the occurrence of different kinds of events. Competing risks arise when the occurrence of specific events prevents the observation of other events. Different survival or incidence functions can be defined in the presence of competing risks and a relevant issue is an adequate knowledge of the methodological background in order to apply a suitable statistical analysis for the study aims. This work aims at presenting different estimates of survival or incidence probabilities used in this framework. Fr
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4

Yang, Fan. "A competing risks survival analysis of high school dropout and graduation: a two-stage model specification approach." Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5684.

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There has been a wealth of research conducted on the high school dropouts spanning several decades. It is estimated that compared with those who complete high school, the average high school dropout costs the economy approximately $250,000 more over his or her lifetime in terms of lower tax contributions, higher reliance on Medicaid and Medicare, higher rates of criminal activity, and higher reliance on welfare (Levin & Belfield, 2007). The nation suffers not only because of the loss in revenue but also as a result of the education level of the population. Individuals who choose to drop out of
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5

Huang, Xin. "A general joint model for longitudinal measurements and competing risks survival data with heterogenous random effects." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1667801741&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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6

TREVISI, LETIZIA. "GUARIGIONE DAL TUMORE AL SENO: UN TEMA DIBATTUTO." Doctoral thesis, Università degli Studi di Milano, 2014. http://hdl.handle.net/2434/232963.

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The cure from breast cancer: a discussed subject Cancer survivorship is a worldwide growing area of research. There are currently two main methods to measure cancer survival: relative survival and cancer-specific survival. Only recently a parametric method was proposed to model cumulative incidences with multiple possible causes of death. The method can be used to evaluate the cure fraction and may be an alternative to relative survival. Parametric crude cumulative incidence estimates are given by transformation models with an improper parametric baseline function. Precisely the originally
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7

Barrett, James Edward. "Gaussian process regression models for the analysis of survival data with competing risks, interval censoring and high dimensionality." Thesis, King's College London (University of London), 2015. http://kclpure.kcl.ac.uk/portal/en/theses/gaussian-process-regression-models-for-the-analysis-of-survival-data-with-competing-risks-interval-censoring-and-high-dimensionality(fe3440e1-9766-4fc3-9d23-fe4af89483b5).html.

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We develop novel statistical methods for analysing biomedical survival data based on Gaussian process (GP) regression. GP regression provides a powerful non-parametric probabilistic method of relating inputs to outputs. We apply this to survival data which consist of time-to-event and covariate measurements. In the context of GP regression the covariates are regarded as `inputs' and the event times are the `outputs'. This allows for highly exible inference of non-linear relationships between covariates and event times. Many existing methods for analysing survival data, such as the ubiquitous C
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8

Islam, Sarwar. "Development of flexible parametric models for competing risks and tools to facilitate in the understanding and communication of cancer survival." Thesis, University of Leicester, 2018. http://hdl.handle.net/2381/42864.

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In population-based cancer studies, researchers are often only interested in cancer-specific survival to determine variations in the impact of cancer in different population groups. In such cases, the net survival measure is usually reported. However, this is of little relevance for patients as it does not consider the probability of dying from other causes before dying from cancer, otherwise known as competing risks. Therefore, alternative measures that take this into account are required for a better representation of cancer survival in the real-world. Measures estimated from within this fra
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9

Seppä, K. (Karri). "Quantifying regional variation in the survival of cancer patients." Doctoral thesis, Oulun yliopisto, 2012. http://urn.fi/urn:isbn:9789526200118.

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Abstract Monitoring regional variation in the survival of cancer patients is an important tool for assessing realisation of regional equity in cancer care. When regions are small or sparsely populated, the random component in the total variation across the regions becomes prominent. The broad aim of this doctoral thesis is to develop methods for assessing regional variation in the cause-specific and relative survival of cancer patients in a country and for quantifying the public health impact of the regional variation in the presence of competing hazards of death using summary measures that ar
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10

Eskilsson, Marika, and Johanna Conradson. "The choice to syndicate and its effect on exit dynamics : A study on Venture Capital firms active in Sweden." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189542.

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Venture capitalists enter into an investment with the intent of realising a substantial profit on theventure after a number of years; this realisation is usually labelled the exit. The disinvestment decisionis a critical issue in the venture capital industry, as the return of the investment is realised upon exit.There are two important dimensions to the disinvestment decision; how and when to exit.This thesis studies the role of Venture Capital (VC) syndication, and its’ effect on exit dynamics for VCfirms in Sweden. The aspects of syndication will be focused on firm characteristics of investi
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Porta, Bleda Núria. "Interval-censored semi-competing risks data: a novel approach for modelling bladder cancer." Doctoral thesis, Universitat Politècnica de Catalunya, 2010. http://hdl.handle.net/10803/6532.

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Aquesta tesi tracta sobre tècniques d'anàlisi de supervivència en situacions amb múltiples esdeveniments i patrons complexes de censura. Proposem una nova metodologia per tractar la situació de riscos semi-competitius quan les dades estan censurades en un interval. La motivació del treball neix de la nostra col·laboració amb l'Estudi Espanyol del Càncer de Bufeta (SBC/EPICURO), el més gran estudi sobre càncer de bufeta realitzat fins ara a l'Estat Espanyol. La nostra contribució en el projecte es centra en la modelització i identificació de factors pronòstics de l'evolució de la malaltia.<br/>
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Strand, Linn Beate. "The influence of ambient temperature on birth outcomes in Brisbane, Australia." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/47005/1/Linn_Beate_Strand.pdf.

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Lately, there has been increasing interest in the association between temperature and adverse birth outcomes including preterm birth (PTB) and stillbirth. PTB is a major predictor of many diseases later in life, and stillbirth is a devastating event for parents and families. The aim of this study was to assess the seasonal pattern of adverse birth outcomes, and to examine possible associations of maternal exposure to temperature with PTB and stillbirth. We also aimed to identify if there were any periods of the pregnancy where exposure to temperature was particularly harmful. A retrospective
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Ferraz, Rosemeire de Olanda 1973. "Sobrevivência de mulheres com câncer de mama sob a perspectiva dos modelos de riscos competitivos." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/312570.

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Orientador: Djalma de Carvalho Moreira Filho<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Ciências Médicas<br>Made available in DSpace on 2018-08-26T22:55:22Z (GMT). No. of bitstreams: 1 Ferraz_RosemeiredeOlanda_D.pdf: 2711370 bytes, checksum: b4966f4c4ea3b88daffa54c0576bd307 (MD5) Previous issue date: 2015<br>Resumo: O objetivo deste estudo é identificar os fatores associados ao tempo de sobrevida do câncer de mama, como idade, estadiamento e extensão do tumor, utilizando modelos de riscos proporcionais de Cox e de riscos competitivos de Fine-Gray. E também propor u
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14

Bond, Simon James. "Aspects of competing risks survival analysis." Thesis, University of Warwick, 2004. http://wrap.warwick.ac.uk/54208/.

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This thesis is focused on the topic of competing risks survival analysis. The first chapter provides an introduction and motivation with a brief literature review. Chapter 2 considers the fundamental functional of all competing risks data: the crude incidence function. This function is considered in the light of the counting process framework which provides powerful mathematics to calculate confidence bands in an analytical form, rather than bootstrapping or simulation. Chapter 3 takes the Peterson bounds and considers what happens in the event of covariate information. Fortunately, these boun
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15

Anzures-Cabrera, Judith. "Survival analysis : competing risks, truncation and immunes." Thesis, University of Warwick, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413431.

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16

Tordoff, Kevin P. "Estimating failure probabilities and testing for treatment effects in the presence of competing risks." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1196211881.

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17

Cantrelle, Christelle. "Le parcours de soin des greffés cardiaques en France : détermination des facteurs associés à leur accès à la greffe." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS063/document.

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Le stade terminal de l’insuffisance cardiaque peut nécessiter l’inscription en liste d’attente pour une greffe cardiaque. L’offre en greffon étant faible, l’accès à cette thérapeutique est priorisé pour les malades les plus graves dans le système d’allocation actuel, faisant de l’équité un enjeu éthique et sociétal important. L’objectif de cette thèse, grâce à des méthodes originales et de nouvelles sources de données, était d’analyser les déterminants d’accès à la greffe cardiaque liés aux candidats et aux équipes de greffe en France sur une période récente et d’apporter des éléments nouveaux
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18

Hinchliffe, Sally Rose. "Advancing and appraising competing risks methodology for better communication of survival statistics." Thesis, University of Leicester, 2013. http://hdl.handle.net/2381/28176.

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The probability of an event occurring or the proportion of patients experiencing an event, such as death or disease, is often of interest in medical research. It is a measure that is intuitively appealing to many consumers of statistics and yet the estimation is not always clearly understood or straightforward. Many researchers will take the complement of the survival function, obtained using the Kaplan-Meier estimator. However, in situations where patients are also at risk of competing events, the interpretation of such estimates may not be meaningful. Competing risks are present in almost al
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19

Jaros, Mark J. "A joint model for longitudinal data and competing risks /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2008.

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Thesis (Ph.D. in Biostatistics) -- University of Colorado Denver, 2008.<br>Typescript. Includes bibliographical references (leaves 117-119). Free to UCD Anschutz Medical Campus. Online version available via ProQuest Digital Dissertations;
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20

Perdona, Gleici da Silva Castro. "Modelos de riscos aplicados à análise de sobrevivência." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-07112006-135528/.

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Assumir suposições especiais sobre a função de risco tem sido a estratégia adotada por vários autores, com intuito de garantir modelos gerais e abrangentes, tanto para a análise de dados de sobrevivência quanto de conDabilidade. Neste estudo, modelos aplicados a dados da área de sobrevivência e conDabilidade são considerados. A Dnalidade deste estudo é propor modelos mais Pexíveis e/ou mais abrangentes de forma a generalizar modelos já existentes, bem como estudar suas propriedades e propor possíveis comparações entre os modelos via testes de hipóteses. Considera-se nesta tese, três classes de
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21

Bradley, Jeremy. "A reversible jump Markov chain Monte Carlo approach to hazard estimation for competing risks data." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289357.

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22

Stephenson, John. "Multilevel generalised linear modelling and competing risks multistate survival analysis modelling of childhood caries." Thesis, Cardiff University, 2009. http://eprints.hud.ac.uk/7910/.

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There has been an ongoing debate regarding appropriate strategies for the management of carious primary teeth. Studies appear to provide evidence that both selective, symptom-based interventions and traditional restorative strategies are advantageous. However, the analysis and quantification of childhood caries may be affected by clustering of data, and the concurrent risk of exfoliation of primary teeth. Multilevel generalised linear models for the occurrence of primary caries were derived utilising data from a cohort study of 2,654 children aged 4-5 years at baseline undertaken 1999-2003. Th
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23

Watelet, Luc Freddy. "Nonparametric estimation of component life distributions in Meilijson's competing risks model /." Thesis, Connect to this title online; UW restricted, 1990. http://hdl.handle.net/1773/9575.

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24

Kong, XiangRong. "Variable Selection in Competing Risks Using the L1-Penalized Cox Model." VCU Scholars Compass, 2008. http://scholarscompass.vcu.edu/etd/1638.

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One situation in survival analysis is that the failure of an individual can happen because of one of multiple distinct causes. Survival data generated in this scenario are commonly referred to as competing risks data. One of the major tasks, when examining survival data, is to assess the dependence of survival time on explanatory variables. In competing risks, as with ordinary univariate survival data, there may be explanatory variables associated with the risks raised from the different causes being studied. The same variable might have different degrees of influence on the risks due to diffe
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25

Tang, Xiongwen. "Two-level lognormal frailty model and competing risks model with missing cause of failure." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/2997.

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In clustered survival data, unobservable cluster effects may exert powerful influences on the outcomes and thus induce correlation among subjects within the same cluster. The ordinary partial likelihood approach does not account for this dependence. Frailty models, as an extension to Cox regression, incorporate multiplicative random effects, called frailties, into the hazard model and have become a very popular way to account for the dependence within clusters. We particularly study the two-level nested lognormal frailty m
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Lin, Yushun. "PARAMETRIC ESTIMATION IN COMPETING RISKS AND MULTI-STATE MODELS." UKnowledge, 2011. http://uknowledge.uky.edu/statistics_etds/1.

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The typical research of Alzheimer's disease includes a series of cognitive states. Multi-state models are often used to describe the history of disease evolvement. Competing risks models are a sub-category of multi-state models with one starting state and several absorbing states. Analyses for competing risks data in medical papers frequently assume independent risks and evaluate covariate effects on these events by modeling distinct proportional hazards regression models for each event. Jeong and Fine (2007) proposed a parametric proportional sub-distribution hazard (SH) model for cumulative
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27

Rajeswaran, Jeevanantham. "JOINT MODELING OF MULTIVARIATE LONGITUDINAL DATA AND COMPETING RISKS DATA." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1354508776.

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Lu, Kaifeng. "ESTIMATION OF REGRESSION COEFFICIENTS IN THE COMPETING RISKS MODEL WITH MISSING CAUSE OF FAILURE." NCSU, 2002. http://www.lib.ncsu.edu/theses/available/etd-20020304-093950.

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<p>In many clinical studies, researchers are interested in theeffects of a set of prognostic factors on the hazard of death from a specific disease even though patients may die from other competing causes. Often the time to relapse is right-censored for some individuals due to incomplete follow-up. In some circumstances, it may also be the case that patients are known to die but the cause of death is unavailable. When cause of failure is missing, excluding the missing observations from the analysis or treating them as censored may yield biased estimates and erroneous inferences. Under the assu
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Nguyen, Duytrac Vu. "Omnibus Tests for Comparison of Competing Risks with Covariate Effects via Additive Risk Model." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/math_theses/25.

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It is of interest that researchers study competing risks in which subjects may fail from any one of K causes. Comparing any two competing risks with covariate effects is very important in medical studies. This thesis develops omnibus tests for comparing cause-specific hazard rates and cumulative incidence functions at specified covariate levels. In the thesis, the omnibus tests are derived under the additive risk model, that is an alternative to the proportional hazard model, with by a weighted difference of estimates of cumulative cause-specific hazard rates. Simultaneous confidence bands for
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30

Moreno, Betancur Margarita. "Regression modeling with missing outcomes : competing risks and longitudinal data." Thesis, Paris 11, 2013. http://www.theses.fr/2013PA11T076/document.

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Les données manquantes sont fréquentes dans les études médicales. Dans les modèles de régression, les réponses manquantes limitent notre capacité à faire des inférences sur les effets des covariables décrivant la distribution de la totalité des réponses prévues sur laquelle porte l'intérêt médical. Outre la perte de précision, toute inférence statistique requière qu'une hypothèse sur le mécanisme de manquement soit vérifiée. Rubin (1976, Biometrika, 63:581-592) a appelé le mécanisme de manquement MAR (pour les sigles en anglais de « manquant au hasard ») si la probabilité qu'une réponse soit m
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Reece, Mifanwy Mary. "Comparing outcomes of laparoscopic and open complete mesocolic excision for colon cancer." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/27398.

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Background Laparoscopic colon cancer surgery has been demonstrated to have improved short-term outcomes including lower complication rates and a shorter recovery time compared to open surgery. In many high-quality trials, oncological outcomes are largely equivalent between the two surgical approaches. Complete mesocolic excision (CME) is the surgical technique that involves excision of the colonic tumour within an intact mesocolic envelope to avoid intra-operative spillage of tumour cells, together with high ligation of colonic vessels in order to completely disrupt any potential metastatic
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Vuilleumier, Caroline Elizabeth. "Should I Stay or Should I Go?: Exploring the Predictors of Beginning Teacher Turnover in Secondary Public Schools." Thesis, Boston College, 2019. http://hdl.handle.net/2345/bc-ir:108369.

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Thesis advisor: Laura O'Dwyer<br>In recent decades, the plight of early career teacher turnover has had significant financial ramifications for our nation’s schools and has posed a serious threat to achieving educational equity, with the most disadvantaged schools experiencing the highest rates of turnover. Using data collected from the Beginning Teacher Longitudinal Survey, this study employed discrete-time competing risks survival analysis to explore the first-year experiences of public middle and high school teachers as predictors of their career decisions to stay in their current school, m
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Slotnick, Adam Lee. "The Effects of Personal and Family History of Cancer on the Development of Dementia in Japanese Americans: The KAME Project." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6393.

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An increasing number of studies have shown an inverse association between a personal history of cancer (PHC) and dementia/Alzheimer’s disease (AD), both in those using dementia/AD as the outcome or cancer as the outcome. This is the first study to examine this potential association in Japanese Americans; and to examine family history of cancer and its association with incident dementia. Also, the association between these two diseases in the parents of participants were analyzed. The Kame Project, conducted from 1992 through 2001 in King County, Washington was a population-based, prospective c
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34

Feakins, Benjamin. "Competing risks methodology in the evaluation of cardiovascular and cancer mortality as a consequence of albuminuria in type 2 diabetes." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:b5e384c6-6826-4a09-9700-9aea2ea0f77a.

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<b>Background:</b> 'Competing risks' are events that either preclude or alter the probability of experiencing the primary study outcome(s). Many standard survival models fail to account for competing risks, introducing an unknown level of bias in their measures of absolute and relative risk. Individuals with type 2 diabetes mellitus (T2DM) and albuminuria are at increased risk of multiple competing causes of mortality, including cardiovascular disease (CVD), cancer and renal disease, yet studies to date have not implemented competing risks methodology. <b>Aim:</b> Using albuminuria in T2DM as
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King, Caleb B. "Bridging the Gap: Selected Problems in Model Specification, Estimation, and Optimal Design from Reliability and Lifetime Data Analysis." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/73165.

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Understanding the lifetime behavior of their products is crucial to the success of any company in the manufacturing and engineering industries. Statistical methods for lifetime data are a key component to achieving this level of understanding. Sometimes a statistical procedure must be updated to be adequate for modeling specific data as is discussed in Chapter 2. However, there are cases in which the methods used in industrial standards are themselves inadequate. This is distressing as more appropriate statistical methods are available but remain unused. The research in Chapter 4 deals with s
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Haller, Bernhard. "The analysis of competing risks data with a focus on estimation of cause-specific and subdistribution hazard ratios from a mixture model." Diss., Ludwig-Maximilians-Universität München, 2014. http://nbn-resolving.de/urn:nbn:de:bvb:19-170319.

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Treatment efficacy in clinical trials is often assessed by time from treatment initiation to occurrence of a certain critical or beneficial event. In most cases the event of interest cannot be observed for all patients, as patients are only followed for a limited time or contact to patients is lost during their follow-up time. Therefore, certain methods were developed in the framework of the so called time-to-event or survival analysis, in order to obtain valid and consistent estimates in the presence of these "censored observations", using all available information. In classical event time an
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Zugna, Daniela. "Theoretical and applied issues arising from the joint modelling of longitudinal response processes and time to competing events." Doctoral thesis, Università degli studi di Padova, 2008. http://hdl.handle.net/11577/3425521.

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The statistical analysis of observational data arising from HIV/AIDS research is generally faced with complexities that arise from both the longitudinal and survival features of the data.This thesis proposes a methodology for modelling the joint variation over time of the two main biomarkers of the progression of disease and of the survival processes of a set of competing events. Modelling two longitudinal response processes as a bivariate linear mixed effects model, with knots at relevant times, will account for the dependence between two biomarkers by random effects while overcoming the pro
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Haller, Bernhard [Verfasser], and Kurt [Akademischer Betreuer] Ulm. "The analysis of competing risks data with a focus on estimation of cause-specific and subdistribution hazard ratios from a mixture model / Bernhard Haller. Betreuer: Kurt Ulm." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2014. http://d-nb.info/1052778984/34.

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Tsai, Rodrigo 1974. "Aplicações de cópulas em modelos de riscos múltiplos dependentes e em modelos de misturas de distribuições." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/305843.

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Orientador: Luiz Koodi Hotta<br>Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Matematica, Estatistica e Computação Cientifica<br>Made available in DSpace on 2018-08-21T13:55:30Z (GMT). No. of bitstreams: 1 Tsai_Rodrigo_D.pdf: 3859687 bytes, checksum: 1064b1fa05b98307d97763bb79e95de4 (MD5) Previous issue date: 2012<br>Resumo: Nesse trabalho discutimos aplicações de cópulas a modelos de riscos múltiplos com dependência e modelos de misturas de distribuições. Numa primeira parte analisamos a inclusão de dependência entre os fatores de risco do modelo de riscos múltiplos. Os
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Ritter, Victor Silva. "Modelagem de dados de longa duração baseada em processos de nascimento e morte latentes." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-09102014-142025/.

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Esse trabalho contribui com o desenvolvimento de um novo modelo para dados de sobrevivência com sobreviventes de longo termo visando uma formulação e interpretação mais realista do que a apresentada pelos modelos com fração de curados usuais. Motivados pelo estudo do tempo de sobrevivência residual para pacientes oncológicos, o modelo usa o processo de nascimento e morte para permitir a variação do número de fatores de risco latentes durante um período precedente ao acompanhamento médico, considerando, então, um cenário de riscos competitivos para obtenção da função da sobrevivência (imprópria
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Iritani, Mateus Rodrigues. "Modelos de sobrevivência de longa-duração : uma abordagem unificada." Universidade Federal de São Carlos, 2008. https://repositorio.ufscar.br/handle/ufscar/4521.

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Made available in DSpace on 2016-06-02T20:06:01Z (GMT). No. of bitstreams: 1 1988.pdf: 463519 bytes, checksum: ca45424706e2fdb08c40f42f1f560364 (MD5) Previous issue date: 2008-06-13<br>Financiadora de Estudos e Projetos<br>In survival analysis some studies show a meaningful cure rate after treatment followup, so considering standard survival models can not be appropriate. In this work is extended the long-term survival model proposed by Chen, Ibrahim and Sinha (1999) via generating function of a real sequence introduced by Feller (1967). This new formulation is the uni_cation of the long-ter
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42

Boucquemont, Julie. "Modèles statistiques pour l'étude de la progression de la maladie rénale chronique." Thesis, Bordeaux, 2014. http://www.theses.fr/2014BORD0411/document.

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Cette thèse avait pour but d'illustrer l'intérêt de méthodes statistiques avancées lorsqu'on s'in­ téresse aux associations entre différents facteurs et la progression de la maladie rénale chronique (MRC). Dans un premier temps, une revue de la littérature a été effectuée alin d'identifier les méthodes classiquement utilisées pour étudier les facteurs de progression de la MRC ; leurs limites et des méthodes permettant de mieux prendre en compte ces limites ont été discutées. Notre second travail s'est concentré sur les analyses de données de survie et la prise en compte de la censure par inter
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Guibert, Quentin. "Sur l’utilisation des modèles multi-états pour la mesure et la gestion des risques d’un contrat d’assurance." Thesis, Lyon 1, 2015. http://www.theses.fr/2015LYO10256/document.

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La mise en place de Solvabilité II conduit les actuaires à s'interroger sur la bonne adéquation entre modèles et données. Aussi, cette thèse a pour objectif d'étudier plusieurs approches statistiques, souvent méconnues des praticiens, permettant l'utilisation de méthodes multi états pour modéliser et gérer les risques individuels en assurance. Le Chapitre 1 présente le contexte général de cette thèse et permet de faire positionner ses principales contributions. Nous abordons les concepts de base liés à l'utilisation de modèles multi-états en assurance et décrivons les techniques d'inférence cl
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Ajana, Soufiane. "Prédiction du risque de DMLA : identification de nouveaux biomarqueurs et modélisation du risque." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0205.

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La dégénérescence maculaire liée à l’âge (DMLA) est la première cause de cécité dans les pays industrialisés. C’est une maladie complexe et multifactorielle ayant des conséquences majeures sur la qualité de vie des personnes atteintes. De nombreux facteurs de risque, génétiques et non génétiques, jouent un rôle important dans la pathogénèse des stades avancés de la DMLA. Les modèles de prédiction développés à ce jour reposent sur un nombre limité de ces facteurs, et sont encore peu utilisés dans la pratique clinique.Ce travail de thèse avait pour premier objectif d’identifier de nouveaux bioma
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CORTESE, GIULIANA. "Dynamic models for competing risks and relative survival." Doctoral thesis, 2008. http://hdl.handle.net/11577/2276658.

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La tesi riguarda modelli di regressione per rischi concorrenti in analisi di sopravvivenza, e tratta sia il caso in cui le cause specifiche di un evento sono note sia il caso in cui tali cause sono sconosciute, pur se esistenti. La prima parte della tesi, relativa alle cause specifiche note, presenta un’applicazione del modello di regressione per rischi concorrenti per lo studio sul cancro della mammella. Nell’ambito di questa applicazione, sono affrontati alcuni aspetti dinamici del modello, come per esempio le variabili esplicative dipendenti dal tempo. Lo scopo dell’applicazione è consistit
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46

Liao, Ran. "Joint modeling of bivariate time to event data with semi-competing risk." Diss., 2016. http://hdl.handle.net/1805/12076.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Survival analysis often encounters the situations of correlated multiple events including the same type of event observed from siblings or multiple events experienced by the same individual. In this dissertation, we focus on the joint modeling of bivariate time to event data with the estimation of the association parameters and also in the situation of a semi-competing risk. This dissertation contains three related topics on bivariate time to event mod els. The first topic is on estimating the cross ratio which is an association
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47

Hujer, Peter. "Analýza incidence konkurujících si rizik a využití modelů kopulí." Master's thesis, 2015. http://www.nusl.cz/ntk/nusl-331737.

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This thesis first introduces the basic notions of univariate survival analysis. Then the survival analysis setting is extended to competing risk models, i.e. the cases considering several events of interest or several causes of one event. In the competing risk model, we discuss the problem of identification, which means that it is not possible to identify marginal distributions from observed competing risk data. Next, we present copula models, which are a suitable mathematical tool for modelling dependence structure between random variables. We explain their basic characteristics, present some
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GUEDES, Anabela Malho. "Competing risks modeling in survival analysis: valuation in peritoneal dialysis." Master's thesis, 2019. http://hdl.handle.net/10362/116368.

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A análise de sobrevivência é uma pedra angular na pesquisa médica. A estimativa de Kaplan-Meier é o método estatístico mais amplamente utilizado, mas a presença de riscos competitivos viola o seu pressuposto fundamental que afirma que o mecanismo de censura é independente do tempo de sobrevida. Isto leva à sobrestimação da probabilidade cumulativa de falha de risco específico. Assim, nessas circunstâncias a estimativa da função de incidência cumulativa e análise de riscos competitivos são métodos preferíveis. O objetivo deste estudo foi comparar os métodos de análise de sobrevivência di
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Li, Jing. "Nonparametric Analysis of Semi-Competing Risks Data." Diss., 2020. http://hdl.handle.net/1805/22730.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>It is generally of interest to explore if the risk of death would be modified by medical conditions (e.g., illness) that have occurred prior. This situation gives rise to semicompeting risks data, which are a mixture of competing risks and progressive state data. This type of data occurs when a non-terminal event can be censored by a well-defined terminal event, but not vice versa. In the first part of this dissertation, the shared gamma-frailty conditional Markov model (GFCMM) is adopted because it bridges the copula models an
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TSAI, CHENG-FANG, and 蔡承芳. "Dependence Model Selection for Semi-competing Risks Data." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/7py9cd.

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碩士<br>國立中正大學<br>數學系統計科學研究所<br>106<br>We consider model selection problem of the dependency between the terminal event and the non-terminal event under semi-competing risks data. We construct the likelihood function and use AIC formula to determine the fittable model. From simulation studies, it shows the performance of the proposed approach is well. Finally, we apply our method to a bone marrow transplant data set.
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