Se connecter

Bibliographies thématiques / Data censoring

Sommaire

Articles de revues

Littérature scientifique sur le sujet « Data censoring »

Auteur : Grafiati

Publié le 14 mars 2023

Créez une référence correcte selon les styles APA, MLA, Chicago, Harvard et plusieurs autres

Choisissez une source :

Consultez les listes thématiques d’articles de revues, de livres, de thèses, de rapports de conférences et d’autres sources académiques sur le sujet « Data censoring ».

À côté de chaque source dans la liste de références il y a un bouton « Ajouter à la bibliographie ». Cliquez sur ce bouton, et nous générerons automatiquement la référence bibliographique pour la source choisie selon votre style de citation préféré : APA, MLA, Harvard, Vancouver, Chicago, etc.

Vous pouvez aussi télécharger le texte intégral de la publication scolaire au format pdf et consulter son résumé en ligne lorsque ces informations sont inclues dans les métadonnées.

Articles de revues sur le sujet "Data censoring"

1

Moradian, Hoora, Denis Larocque, and François Bellavance. "Survival forests for data with dependent censoring." Statistical Methods in Medical Research 28, no. 2 (2017): 445–61. http://dx.doi.org/10.1177/0962280217727314.

Texte intégral

Résumé :

Tree-based methods are very powerful and popular tools for analysing survival data with right-censoring. The existing methods assume that the true time-to-event and the censoring times are independent given the covariates. We propose different ways to build survival forests when dependent censoring is suspected, by using an appropriate estimator of the survival function when aggregating the individual trees and/or by modifying the splitting rule. The appropriate estimator used in this paper is the copula-graphic estimator. We also propose a new method for building survival forests, called p-fo

Styles APA, Harvard, Vancouver, ISO, etc.

2

Willems, SJW, A. Schat, MS van Noorden, and M. Fiocco. "Correcting for dependent censoring in routine outcome monitoring data by applying the inverse probability censoring weighted estimator." Statistical Methods in Medical Research 27, no. 2 (2016): 323–35. http://dx.doi.org/10.1177/0962280216628900.

Texte intégral

Résumé :

Censored data make survival analysis more complicated because exact event times are not observed. Statistical methodology developed to account for censored observations assumes that patients’ withdrawal from a study is independent of the event of interest. However, in practice, some covariates might be associated to both lifetime and censoring mechanism, inducing dependent censoring. In this case, standard survival techniques, like Kaplan–Meier estimator, give biased results. The inverse probability censoring weighted estimator was developed to correct for bias due to dependent censoring. In t

Styles APA, Harvard, Vancouver, ISO, etc.

3

Emura, Takeshi, and Yi-Hau Chen. "Gene selection for survival data under dependent censoring: A copula-based approach." Statistical Methods in Medical Research 25, no. 6 (2016): 2840–57. http://dx.doi.org/10.1177/0962280214533378.

Texte intégral

Résumé :

Dependent censoring arises in biomedical studies when the survival outcome of interest is censored by competing risks. In survival data with microarray gene expressions, gene selection based on the univariate Cox regression analyses has been used extensively in medical research, which however, is only valid under the independent censoring assumption. In this paper, we first consider a copula-based framework to investigate the bias caused by dependent censoring on gene selection. Then, we utilize the copula-based dependence model to develop an alternative gene selection procedure. Simulations s

Styles APA, Harvard, Vancouver, ISO, etc.

4

Sparks, R. S., G. Sutton, P. Toscas, and J. T. Ormerod. "Modelling Inverse Gaussian Data with Censored Response Values: EM versus MCMC." Advances in Decision Sciences 2011 (July 5, 2011): 1–8. http://dx.doi.org/10.1155/2011/571768.

Texte intégral

Résumé :

Low detection limits are common in measure environmental variables. Building models using data containing low or high detection limits without adjusting for the censoring produces biased models. This paper offers approaches to estimate an inverse Gaussian distribution when some of the data used are censored because of low or high detection limits. Adjustments for the censoring can be made if there is between 2% and 20% censoring using either the EM algorithm or MCMC. This paper compares these approaches.

Styles APA, Harvard, Vancouver, ISO, etc.

5

Sun, Yanqing, and Jimin Lee. "Testing independent censoring for longitudinal data." Statistica Sinica 21, no. 3 (2011): 1315–39. http://dx.doi.org/10.5705/ss.2009.251.

Texte intégral

Styles APA, Harvard, Vancouver, ISO, etc.

6

D’Arrigo, Graziella, Daniela Leonardis, Samar Abd ElHafeez, Maria Fusaro, Giovanni Tripepi, and Stefanos Roumeliotis. "Methods to Analyse Time-to-Event Data: The Kaplan-Meier Survival Curve." Oxidative Medicine and Cellular Longevity 2021 (September 20, 2021): 1–7. http://dx.doi.org/10.1155/2021/2290120.

Texte intégral

Résumé :

Studies performed in the field of oxidative medicine and cellular longevity frequently focus on the association between biomarkers of cellular and molecular mechanisms of oxidative stress as well as of aging, immune function, and vascular biology with specific time to event data, such as mortality and organ failure. Indeed, time-to-event analysis is one of the most important methodologies used in clinical and epidemiological research to address etiological and prognostic hypotheses. Survival data require adequate methods of analyses. Among these, the Kaplan-Meier analysis is the most used one

Styles APA, Harvard, Vancouver, ISO, etc.

7

Gómez, Guadalupe, M. Luz Calle, Ramon Oller, and Klaus Langohr. "Tutorial on methods for interval-censored data and their implementation in R." Statistical Modelling 9, no. 4 (2009): 259–97. http://dx.doi.org/10.1177/1471082x0900900402.

Texte intégral

Résumé :

Interval censoring is encountered in many practical situations when the event of interest cannot be observed and it is only known to have occurred within a time window. The theory for the analysis of interval-censored data has been developed over the past three decades and several reviews have been written. However, it is still a common practice in medical and reliability studies to simplify the interval censoring structure of the data into a more standard right censoring situation by, for instance, imputing the midpoint of the censoring interval. The availability of software for right censori

Styles APA, Harvard, Vancouver, ISO, etc.

8

Nagy, M., and Adel Fahad Alrasheedi. "Estimations of Generalized Exponential Distribution Parameters Based on Type I Generalized Progressive Hybrid Censored Data." Computational and Mathematical Methods in Medicine 2022 (March 29, 2022): 1–15. http://dx.doi.org/10.1155/2022/8058473.

Texte intégral

Résumé :

Type I generalized progressive hybrid censoring scheme is a combination of Type I and Type II progressive hybrid censoring schemes, and it is one of the most recent advancements in data censoring. In this article, based on Type I generalized progressive hybrid censoring data from generalized exponential distribution, the maximum likelihood and Bayesian estimators of distribution’s parameters as well as the reliability and hazard functions are approximately calculated. Also, the credible interval estimators of these quantities are obtained. Since these quantities cannot be obtained in closed fo

Styles APA, Harvard, Vancouver, ISO, etc.

9

Belviso, Nicholas, Yichi Zhang, Herbert D. Aronow, et al. "Addressing Posttreatment Selection Bias in Comparative Effectiveness Research, Using Real-World Data and Simulation." American Journal of Epidemiology 191, no. 2 (2021): 331–40. http://dx.doi.org/10.1093/aje/kwab242.

Texte intégral

Résumé :

Abstract To examine methodologies that address imbalanced treatment switching and censoring, 6 different analytical approaches were evaluated under a comparative effectiveness framework: intention-to-treat, as-treated, intention-to-treat with censor-weighting, as-treated with censor-weighting, time-varying exposure, and time-varying exposure with censor-weighting. Marginal structural models were employed to address time-varying exposure, confounding, and possibly informative censoring in an administrative data set of adult patients who were hospitalized with acute coronary syndrome and treated

Styles APA, Harvard, Vancouver, ISO, etc.

10

Belviso, Nicholas, Yichi Zhang, Herbert D. Aronow, et al. "Addressing Posttreatment Selection Bias in Comparative Effectiveness Research, Using Real-World Data and Simulation." American Journal of Epidemiology 191, no. 2 (2021): 331–40. http://dx.doi.org/10.1093/aje/kwab242.

Texte intégral

Résumé :

Abstract To examine methodologies that address imbalanced treatment switching and censoring, 6 different analytical approaches were evaluated under a comparative effectiveness framework: intention-to-treat, as-treated, intention-to-treat with censor-weighting, as-treated with censor-weighting, time-varying exposure, and time-varying exposure with censor-weighting. Marginal structural models were employed to address time-varying exposure, confounding, and possibly informative censoring in an administrative data set of adult patients who were hospitalized with acute coronary syndrome and treated

Styles APA, Harvard, Vancouver, ISO, etc.

Plus de sources

Nous offrons des réductions sur tous les plans premium pour les auteurs dont les œuvres sont incluses dans des sélections littéraires thématiques. Contactez-nous pour obtenir un code promo unique!