Searched for: subject%3A%22Survival%255C+analysis%22
(1 - 17 of 17)
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Brouwer, Niek (author)
The tumor composition of breast cancer determines how tumors behave. Yet, there is a limited understanding of the arrangement of tumor cells in relation to cells in the tumor microenvironment (TME). In this research, we have characterized distance relationships between 324 cell-type pairs in 749 tissue samples of the Molecular Taxonomy of Breast...
master thesis 2023
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van Vliet, Christian (author)
In problems with missing data, the data are often considered to be missing at random. This assumption can not be checked from the data. We need to assess the sensitivity of study conclusions to violations of non-identifiable assumptions. This thesis performs Bayesian sensitivity analysis for a missing data model with life time outcomes and...
master thesis 2023
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Huisman, Tim (author)
Survival analysis revolves around studying and predicting the time it takes for a particular event to occur. In clinical trials on terminal illnesses, this is usually the time from the diagnosis of a patient until their death. Estimating the odds of survival of a new patient can be done by analyzing survival data from past patients in similar...
bachelor thesis 2023
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Zeng, Cheng (author), Huang, Jinsong (author), Wang, H. (author), Xie, Jiawei (author), Zhang, Yuting (author)
Reliable estimation of rail useful lifetime can provide valuable information for predictive maintenance in railway systems. However, in most cases, lifetime data is incomplete because not all pieces of rail experience failure by the end of the study horizon, a problem known as censoring. Ignoring or otherwise mistreating the censored cases...
journal article 2023
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Kaur, Sukhleen (author)
Survival analysis is a statistical method used to predict when an event will occur. Machine learning survival models have been used in many cancer studies. However, machine learning models may not always be interpretable. The current lack of research for explainable survival analysis for urothelial cancer prompted this study. This study offers...
master thesis 2021
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Skypala, Matea (author)
This thesis examines statistical methods to find the right timing of intrauterine insemination treatment relative to the start of the follow-up of the couples. Intrauterine insemination is a fertility treatment conducted by injecting refined sperm into a woman's uterus. Lots of research has been done on timing of steps within one IUI cycle....
master thesis 2021
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Wang, Zili (author)
An ideal road management system requires a real-time assessment of pavement performance. But there are many root causes of the status quo that the expectation and the system have not been achieved yet. One of them is the monitoring system. In the Netherlands, the measurement is carried out once a year because of the budget and also because it is...
master thesis 2020
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Gouwens, Sigur (author)
In this study the interval censoring case 2 model combined with the Cox model is considered. The event-time distribution function is modeled nonparametrically. Two algorithms are proposed to estimate the event-time distribution function together with the Cox coefficients. Kernel smoothing is applied to the non-parametric MLE of the event-time...
master thesis 2019
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Mohammad Ammar Faiq, Ammar (author)
Cardiovascular diseases are considered as one the deadliest disease and have also been the most prominent health burden around the world and particularly in the Netherlands. Enormously mitigation has been done to reduce the death burden, by improving the quality of health care services and research related to cardiovascular diseases. One...
master thesis 2019
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Verstegen, Susanne (author)
Malicious software such as botnets are a threat to society and increasingly so through Internet of Things (IoT) devices. The large volume, pervasiveness and high vulnerability of IoT devices make them low hanging fruit for malicious actors. Currently, the biggest threat for insecure IoT devices is Mirai, a botnet which is deployed for DDoS...
master thesis 2019
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Thijssens, Olivier (author)
Global and local aviation traffic is growing while economic and performance pressures on the industry are increasing. As a consequence, airlines try to maximise their fleet utilization. Airline operators and Maintenance, Repair and Overhaul (MRO) providers therefore require as much insight as possible in factors affecting component reliability...
master thesis 2019
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Wang, Johnny (author)
The gap between predicted brain age and chronological age could serve as biomarker for early-stage neurodegeneration and as potentially as a risk indicator for dementia. We assess the utility of this age gap as a risk biomarker for incident dementia in a general elderly population. The brain age is estimated from longitudinal brain magnetic...
master thesis 2019
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Scoop, Mitchell (author)
Managing electrical distribution assets entails making the decision on how to proceed with an ageing asset. The three options that asset managers have are run to fail, perform maintenance or repairs and lastly to replace. This decision making process is becoming incrementally more important due to the threat of replacement waves. This a...
master thesis 2018
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Kamps, Xavier (author), de Vries, H.J. (author), van de Kaa, G. (author)
Standards consortia develop technical standards or specifications and promote these to reach market dominance. Research on competing standards has explored either firm-level or standard-level factors, but the dynamics of standards consortia and their survival have remained largely understudied. The pre- and post-competitive phase of standards...
journal article 2017
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Nane, G.F. (author)
The events of interest in any survival analysis study are regularly subject to censoring. There are various censoring schemes, including right or left censoring, and interval censoring. The most frequent censoring scheme is the right censoring, where subjects might drop out of the study or simply because not all events of interest occur before...
doctoral thesis 2013
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Groeneboom, P. (author), Maathuis, M.H. (author), Wellner, J.A. (author)
We study nonparametric estimation of the sub-distribution functions for current status data with competing risks. Our main interest is in the nonparametric maximum likelihood estimator (MLE), and for comparison we also consider a simpler “naive estimator.” Both types of estimators were studied by Jewell, van der Laan and Henneman [Biometrika ...
journal article 2008
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Groeneboom, P. (author), Maathuis, M.H. (author), Wellner, J.A. (author)
We study nonparametric estimation for current status data with competing risks. Our main interest is in the nonparametric maximum likelihood estimator (MLE), and for comparison we also consider a simpler “naive estimator.” Groeneboom, Maathuis and Wellner [Ann. Statist. (2008) 36 1031–1063] proved that both types of estimators converge globally...
journal article 2008
Searched for: subject%3A%22Survival%255C+analysis%22
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