Academic literature on the topic 'Non-proportional hazards'

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Journal articles on the topic "Non-proportional hazards"

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Perperoglou, Aris, Saskia le Cessie, and Hans C. van Houwelingen. "Reduced-rank hazard regression for modelling non-proportional hazards." Statistics in Medicine 25, no. 16 (2006): 2831–45. http://dx.doi.org/10.1002/sim.2360.

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Meuli, Lorenz, and Christoph Kuemmerli. "The Hazard of Non-proportional Hazards in Time to Event Analysis." European Journal of Vascular and Endovascular Surgery 62, no. 3 (2021): 495–98. http://dx.doi.org/10.1016/j.ejvs.2021.05.036.

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Brückner, Matthias, and Werner Brannath. "Sequential tests for non-proportional hazards data." Lifetime Data Analysis 23, no. 3 (2016): 339–52. http://dx.doi.org/10.1007/s10985-016-9360-5.

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Xu, R. "Estimating average regression effect under non-proportional hazards." Biostatistics 1, no. 4 (2000): 423–39. http://dx.doi.org/10.1093/biostatistics/1.4.423.

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Ha, Il Do, and Gilbert MacKenzie. "Robust frailty modelling using non-proportional hazards models." Statistical Modelling: An International Journal 10, no. 3 (2010): 315–32. http://dx.doi.org/10.1177/1471082x0801000304.

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Kuk, Anthony Y. C. "A Non‐Proportional Hazards Model with Hazard Ratio Functions Free from Covariate Values." International Statistical Review 88, no. 3 (2020): 715–27. http://dx.doi.org/10.1111/insr.12364.

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Brannath, Werner, Matthias Brückner, Meinhard Kieser, and Geraldine Rauch. "The Average Hazard Ratio – A Good Effect Measure for Time-to-event Endpoints when the Proportional Hazard Assumption is Violated?" Methods of Information in Medicine 57, no. 03 (2018): 089–100. http://dx.doi.org/10.3414/me17-01-0058.

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Summary Background: In many clinical trial applications, the endpoint of interest corresponds to a time-to-event endpoint. In this case, group differences are usually expressed by the hazard ratio. Group differences are commonly assessed by the logrank test, which is optimal under the proportional hazard assumption. However, there are many situations in which this assumption is violated. Especially in applications were a full population and several subgroups or a composite time-to-first-event endpoint and several components are considered, the proportional hazard assumption usually does not si
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Prataviera, Fábio, Elizabeth M. Hashimoto, Edwin M. M. Ortega, Taciana V. Savian, and Gauss M. Cordeiro. "Interval-Censored Regression with Non-Proportional Hazards with Applications." Stats 6, no. 2 (2023): 643–56. http://dx.doi.org/10.3390/stats6020041.

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Proportional hazards models and, in some situations, accelerated failure time models, are not suitable for analyzing data when the failure ratio between two individuals is not constant. We present a Weibull accelerated failure time model with covariables on the location and scale parameters. By considering the effects of covariables not only on the location parameter, but also on the scale, a regression should be able to adequately describe the difference between treatments. In addition, the deviance residuals adapted for data with the interval censored and the exact time of failure proved to
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Pardo, María del Carmen, and Beatriz Cobo. "Comparison of methods to testing for differential treatment effect under non-proportional hazards data." Mathematical Biosciences and Engineering 20, no. 10 (2023): 17646–60. http://dx.doi.org/10.3934/mbe.2023784.

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<abstract><p>Many tests for comparing survival curves have been proposed over the last decades. There are two branches, one based on weighted log-rank statistics and other based on weighted Kaplan-Meier statistics. If we carefully choose the weight function, a substantial increase in power of tests against non-proportional alternatives can be obtained. However, it is difficult to specify in advance the types of survival differences that may actually exist between two groups. Therefore, a combination test can simultaneously detect equally weighted, early, late or middle departures f
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Gorfine, Malka, Matan Schlesinger, and Li Hsu. "K-sample omnibus non-proportional hazards tests based on right-censored data." Statistical Methods in Medical Research 29, no. 10 (2020): 2830–50. http://dx.doi.org/10.1177/0962280220907355.

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This work presents novel and powerful tests for comparing non-proportional hazard functions, based on sample–space partitions. Right censoring introduces two major difficulties, which make the existing sample–space partition tests for uncensored data non-applicable: (i) the actual event times of censored observations are unknown and (ii) the standard permutation procedure is invalid in case the censoring distributions of the groups are unequal. We overcome these two obstacles, introduce invariant tests, and prove their consistency. Extensive simulations reveal that under non-proportional alter
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Dissertations / Theses on the topic "Non-proportional hazards"

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Gillen, Daniel L. "The use of weighted logrank statistics in group sequential testing and non-proportional hazards /." Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/9557.

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Bagdonavičius, Vilijandas B., Ruta Levuliene, Mikhail S. Nikulin, and Olga Zdorova-Cheminade. "Tests for homogeneity of survival distributions against non-location alternatives and analysis of the gastric cancer data." Universität Potsdam, 2004. http://opus.kobv.de/ubp/volltexte/2011/5152/.

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The two and k-sample tests of equality of the survival distributions against the alternatives including cross-effects of survival functions, proportional and monotone hazard ratios, are given for the right censored data. The asymptotic power against approaching alternatives is investigated. The tests are applied to the well known chemio and radio therapy data of the Gastrointestinal Tumor Study Group. The P-values for both proposed tests are much smaller then in the case of other known tests. Differently from the test of Stablein and Koutrouvelis the new tests can be applied not only for singl
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Chauvel, Cecile. "Processus empiriques pour l'inférence dans le modèle de survie à risques non proportionnels." Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066399/document.

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Nous nous intéressons à des processus empiriques particuliers pour l'inférence dans le modèle à risques non proportionnels. Ce modèle permet au coefficient de régression de varier avec le temps et généralise le modèle à risques proportionnels très utilisé pour modéliser des données de survie. Le processus du score standardisé que nous étudions est une somme séquentielle des résidus standardisés du modèle. Le processus est considéré en présence d'une covariable dans le modèle, avant d'être étendu au cas de multiples covariables pouvant être corrélées. Le plan du manuscrit se décompose en trois
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Spirko, Lauren Nicole. "Variable Selection and Supervised Dimension Reduction for Large-Scale Genomic Data with Censored Survival Outcomes." Diss., Temple University Libraries, 2017. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/466860.

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Statistics<br>Ph.D.<br>One of the major goals in large-scale genomic studies is to identify genes with a prognostic impact on time-to-event outcomes, providing insight into the disease's process. With the rapid developments in high-throughput genomic technologies in the past two decades, the scientific community is able to monitor the expression levels of thousands of genes and proteins resulting in enormous data sets where the number of genomic variables (covariates) is far greater than the number of subjects. It is also typical for such data sets to have a high proportion of censored observa
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Diamoutene, Abdoulaye. "Contribution de la Théorie des Valeurs Extrêmes à la gestion et à la santé des systèmes." Thesis, Toulouse, INPT, 2018. http://www.theses.fr/2018INPT0139/document.

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Le fonctionnement d'un système, de façon générale, peut être affecté par un incident imprévu. Lorsque cet incident a de lourdes conséquences tant sur l'intégrité du système que sur la qualité de ses produits, on dit alors qu'il se situe dans le cadre des événements dits extrêmes. Ainsi, de plus en plus les chercheurs portent un intérêt particulier à la modélisation des événements extrêmes pour diverses études telles que la fiabilité des systèmes et la prédiction des différents risques pouvant entraver le bon fonctionnement d'un système en général. C'est dans cette optique que s'inscrit la prés
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Alharbi, Abdulwahab. "The Use of Net Benefit in Modeling Non-Proportional Hazards." Thesis, 2020. http://hdl.handle.net/1805/24746.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Background: The hazard ratio (HR), representing the quantified estimate of treatment effect in survival analysis, measures the instantaneous relative difference of failure risk between two groups. The HR is typically assumed to be independent of time; however, this assumption is usually violated in practice. If the proportionality assumption holds, HR can be validly with the popular Cox proportional hazards model. When not proportional, the Wilcoxon-Gehan has been proposed to test the hypothesis of no difference. These have been rece
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Liu, Ting-Wei, and 劉庭維. "Impact on Goodness of Fit of Proportional Hazards model due to Non-compliance of Randomization." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/92541532819677350930.

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碩士<br>銘傳大學<br>應用統計資訊學系碩士班<br>97<br>To enhance the research and development of global pharmaceutical industry to a harmonized manner, the government authorities and the medical industries of United States, European Union and Japan organize the International Conference on Harmonization (ICH). The ICH published many guidelines that make statistics as a method to draw the scientific evidence of the efficacy/safety of the study drug. The ICH E6 (Good Clinical Trial Practice, GCP) includes the topics in design of a clinical trial, the principles of data analysis, as well as conducting the trial. The
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Zhu, Lei. "Procedures for identifying and modeling time-to-event data in the presence of non--proportionality." Thesis, 2013. https://hdl.handle.net/2144/14132.

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For both randomized clinical trials and prospective cohort studies, the Cox regression model is a powerful tool for evaluating the effect of a treatment or an explanatory variable on time-to-event outcome. This method assumes proportional hazards over time. Systematic approaches to efficiently evaluate non-proportionality and to model data in the presence of non-proportionality are investigated. Six graphical methods are assessed to verify the proportional hazards assumption based on characteristics of the survival function, cumulative hazard, or the feature of residuals. Their performances
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Kombrink, Karola. "Ein semiparametrisches Verfahren zur Planung und Auswertung von Nichtunterlegenheitsstudien im Cox-Modell." Doctoral thesis, 2011. http://hdl.handle.net/11858/00-1735-0000-0006-B3F6-8.

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Martínez, Vargas Danae Mirel. "Régression de Cox avec partitions latentes issues du modèle de Potts." Thèse, 2019. http://hdl.handle.net/1866/22552.

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Books on the topic "Non-proportional hazards"

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O'Quigley, John. Survival Analysis: Proportional and Non-Proportional Hazards Regression. Springer, 2021.

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O'Quigley, John. Survival Analysis: Proportional and Non-Proportional Hazards Regression. Springer International Publishing AG, 2022.

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Book chapters on the topic "Non-proportional hazards"

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O’Quigley, John. "Non-proportional hazards models." In Survival Analysis. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-33439-0_6.

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Collett, David. "Non-proportional hazards and institutional comparisons." In Modelling Survival Data in Medical Research, 4th ed. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003282525-11.

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Yang, Miao, Zhaowei Hua, and Saran Vardhanabhuti. "Sample Size Determination Under Non-proportional Hazards." In Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-67386-8_12.

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van Houwelingen, Hans C., and Paul H. C. Eilers. "Non-proportional hazards models in survival analysis." In COMPSTAT. Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-642-57678-2_14.

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Zhang, D. Kai, Francesca Toni, and Matthew Williams. "A Federated Cox Model with Non-proportional Hazards." In Multimodal AI in Healthcare. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14771-5_12.

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Chen, L., and L. J. Wei. "Analysis of Multivariate Survival Times with Non-Proportional Hazards Models." In Proceedings of the First Seattle Symposium in Biostatistics. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4684-6316-3_3.

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Zhao, Yujie, Yilong Zhang, and Keaven M. Anderson. "Group Sequential Design Under Non-proportional Hazards: Methodologies and Examples." In Biostatistics in Biopharmaceutical Research and Development. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-65948-5_8.

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Bagdonavičius, Vilijandas B., and Mikhail S. Nikuline. "Analysis of Survival Data with Non-proportional Hazards and Crossings of Survival Functions." In Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment. John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470857706.ch12.

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Katzmann, Alexander, Alexander Mühlberg, Michael Sühling, et al. "Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer Using a Non-proportional Hazards Model." In Predictive Intelligence in Medicine. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32281-6_8.

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Bhattacharjee, Arnab, and Swagatam Sen. "Models of Firm Dynamics and the Hazard Rate of Exits: Reconciling Theory and Evidence Using Non-proportional Hazard Regression Models." In Partial Identification in Econometrics and Related Topics. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59110-5_2.

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Conference papers on the topic "Non-proportional hazards"

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Job, Eunice, and Alfred Abiodun. "Non-proportional hazard model without frailty and with frailty distribution under mixtures of baseline distribution." In 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG). IEEE, 2024. http://dx.doi.org/10.1109/seb4sdg60871.2024.10630371.

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Lloyd, George M., Timothy Hasselman, and Thomas Paez. "A Proportional Hazards Neural Network for Performing Reliability Estimates and Risk Prognostics for Mobile Systems Subject to Stochastic Covariates." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-82657.

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We present a proportional hazards model (PHM) that establishes a framework suitable for performing reliability estimates and risk prognostics on complex multi-component systems which are transferred at arbitrary times among a discrete set of non-stationary stochastic environments. Such a scenario is not at all uncommon for portable and mobile systems. It is assumed that survival data, possibly interval censored, is available at several “typical” environments. This collection of empirical survival data forms the foundation upon which the basic effects of selected covariates are incorporated via
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Brum, Wagner, Andrei Bieger, Joao Pedro Ferrari Souza, et al. "A THREE-RANGE APPROACH ENHANCES PROGNOSTIC UTILITY OF CSF BIOMARKERS IN ALZHEIMER’S DISEASE." In XIII Meeting of Researchers on Alzheimer's Disease and Related Disorders. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1980-5764.rpda022.

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Background: Alzheimer’s disease (AD) was biologically defined by the 2018 NIA-AA Research Framework (RF), which recommends dichotomously defining biomarker status as normal or abnormal with single cutpoints. However, a three-range approach remains unexplored in AD fluid biomarkers. Objective: To assess the prognostic utility of a three-range approach for CSF biomarkers in AD. Methods: We included 1278 non-demented individuals (CU: n=575; MCI: n=703) from the ADNI with baseline CSF Elecsys® biomarkers. Within it, we defined three-range cutpoints with two-graph receiver operating characteristics
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Zafar, Sana, Ahmadreza Hedayat, Bing Q. Li, and Omid Moradian. "Brittle Creep and Associated Acoustic Emissions in Granite Under Unconfined Compression." In 57th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2023. http://dx.doi.org/10.56952/arma-2023-0781.

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ABSTRACT Time-dependent processes in rock govern its long-term behavior hence understanding of these processes is of great importance especially for long-lasting surface and underground structures. Results from conventional creep experiments have shown that three stages of creep (trimodal creep curve) exist for brittle materials. The first stage is the primary stage where the strain rate is inversely proportional to time. In the secondary stage, partially reversible strain occurs in which the strain rate is small and constant. The final stage is the tertiary stage where accelerated strain rate
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Reports on the topic "Non-proportional hazards"

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Moghimi, Gholamreza, and Nicos Makris. Response Modification of Structures with Supplemental Rotational Inertia. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2024. http://dx.doi.org/10.55461/tihv1701.

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Tall, multistory, buildings are becoming increasingly popular in large cities as a result of growing urbanization trends (United Nations Department of Economic and Social Affairs 2018). As cities continue to grow, many of them along the coasts of continents which are prone to natural hazards, the performance of tall, flexible buildings when subjected to natural hazards is a pressing issue with engineering relevance. The performance of structures when subjected to dynamic loads can be enhanced with various response modification strategies which have been traditionally achieved with added stiffn
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