Relevant bibliographies by topics / Time dependent covariate methods

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Time dependent covariate methods'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Time dependent covariate methods"

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MENDES, ALEXANDRE C., and NASSER FARD. "BINARY LOGISTIC REGRESSION AND PHM ANALYSIS FOR RELIABILITY DATA." International Journal of Reliability, Quality and Safety Engineering 21, no. 05 (2014): 1450023. http://dx.doi.org/10.1142/s0218539314500235.

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This study proposes a modification for the binary logistic regression to treat time-dependent covariates for reliability studies. The proportional hazard model (PHM) properties are well suited for modeling survival data when there are categorical predictors; as it compares hazards to a reference category. However, time-dependent covariates present a challenge for the analysis as stratification does not produce hazards for the covariate stratified or creation of dummy time-dependent covariates faces difficulty on selecting the time interval for the interaction and the coefficient results may be
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Chen, I.-Chen, and Philip M. Westgate. "A novel approach to selecting classification types for time-dependent covariates in the marginal analysis of longitudinal data." Statistical Methods in Medical Research 28, no. 10-11 (2018): 3176–86. http://dx.doi.org/10.1177/0962280218799529.

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Generalized estimating equations are routinely utilized for the marginal analysis of longitudinal data. In order to obtain consistent regression parameter estimates, these estimating equations must be unbiased. However, when certain types of time-dependent covariates are presented, these equations can be biased unless the working independence structure is used. Unfortunately, regression parameter estimation can be very inefficient with this structure because not all valid moment conditions are incorporated within the corresponding equations. Therefore, approaches have been proposed to utilize
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Keshavarzi, Sareh, Seyyed Mohammad Taghi Ayatollahi, Najaf Zare, and Maryam Pakfetrat. "Application of Seemingly Unrelated Regression in Medical Data with Intermittently Observed Time-Dependent Covariates." Computational and Mathematical Methods in Medicine 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/821643.

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Background. In many studies with longitudinal data, time-dependent covariates can only be measured intermittently (not at all observation times), and this presents difficulties for standard statistical analyses. This situation is common in medical studies, and methods that deal with this challenge would be useful.Methods. In this study, we performed the seemingly unrelated regression (SUR) based models, with respect to each observation time in longitudinal data with intermittently observed time-dependent covariates and further compared these models with mixed-effect regression models (MRMs) un
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Oller, Ramon, and Guadalupe Gómez Melis. "A nonparametric test for the association between longitudinal covariates and censored survival data." Biostatistics 21, no. 4 (2019): 727–42. http://dx.doi.org/10.1093/biostatistics/kxz002.

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Summary Many biomedical studies focus on the association between a longitudinal measurement and a time-to-event outcome while quantifying this association by means of a longitudinal-survival joint model. In this article we propose using the $LLR$ test — a longitudinal extension of the log-rank test statistic given by Peto and Peto (1972) — to provide evidence of a plausible association between a time-to-event outcome (right- or interval-censored) and a time-dependent covariate. As joint model methods are complex and hard to interpret, it is wise to conduct a preliminary test such as $LLR$ for
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Faddy, Malcolm J., and Sally I. McClean. "Using a multi-state model to enhance understanding of geriatric patient care." Australian Health Review 31, no. 1 (2007): 91. http://dx.doi.org/10.1071/ah070091.

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Objectives: To use multi-state Markov chain modelling to analyse data on geriatric patient care, and to make comparisons between male and female patients. Methods: Estimation, from observed data, of covariate (age of patient and date of admission to hospital or community care) dependent parameters of statistical models for time in care and subsequent events. Results: Differential effects of these covariates shown on the parameters of the models for female and male patients, where these parameters can be interpreted as affecting different features of the distributions of time in care. Conclusio
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Zhang, Bo, Wei Liu, Zhiwei Zhang, Yanping Qu, Zhen Chen, and Paul S. Albert. "Modeling of correlated data with informative cluster sizes: An evaluation of joint modeling and within-cluster resampling approaches." Statistical Methods in Medical Research 26, no. 4 (2015): 1881–95. http://dx.doi.org/10.1177/0962280215592268.

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Joint modeling and within-cluster resampling are two approaches that are used for analyzing correlated data with informative cluster sizes. Motivated by a developmental toxicity study, we examined the performances and validity of these two approaches in testing covariate effects in generalized linear mixed-effects models. We show that the joint modeling approach is robust to the misspecification of cluster size models in terms of Type I and Type II errors when the corresponding covariates are not included in the random effects structure; otherwise, statistical tests may be affected. We also ev
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Beyersmann, J., P. Gastmeier, M. Schumacher, and M. Wolkewitz. "Efficient Risk Set Sampling when a Time-dependent Exposure Is Present." Methods of Information in Medicine 48, no. 05 (2009): 438–43. http://dx.doi.org/10.3414/me9241.

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Summary Objectives: The impact of time-dependent exposures on the time until study endpoint may correctly be analyzed with data of a full cohort. Ignoring the time-dependent nature of these exposures leads to time-dependent bias. Matching for time to exposure is often applied to take the time-dependency into account, but prefixed sets of exposed and unexposed may still create bias. This approach is attractive since a subcohort would also save resources, especially when exposure and outcome data are only available in the full cohort but further covariate information is required. The first objec
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Yanchev, Asen, Martina Ivanova, Ivan Donev, Eleonora Dimitrova, and Nikolay Vladimirov Conev. "Gender and time estimation as novel potent indicators of emotional concerns in cancer patients." Journal of Clinical Oncology 38, no. 15_suppl (2020): e24195-e24195. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e24195.

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e24195 Background: Psychological stress is frequent after a cancer diagnosis. Thus screening is crucial for detecting it. The emotion thermometers (ETs) are validated screening tools and have five dimensions (distress, anxiety, depression, anger, and need‐for‐help). Methods: Time estimation was assessed in 374 chemonaïve patients with solid tumors by evaluating each subject’s prospective estimation of how quickly one minute passed compared to the actual time. ETs were used at the beginning of treatment to evaluate level of psychological stress of each patient. A multivariate analyses of covari
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Qin, Shukui, Jie Jin, Jun Guo, et al. "Hand-foot syndrome (HFS) and asthenia/fatigue (A/F) as biomarkers of sunitinib efficacy in Chinese patients (pts) with metastatic renal cell carcinoma (mRCC)." Journal of Clinical Oncology 31, no. 15_suppl (2013): e15622-e15622. http://dx.doi.org/10.1200/jco.2013.31.15_suppl.e15622.

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e15622 Background: In an open-label phase IV study of sunitinib as 1st-line treatment (Tx) in Chinese pts with mRCC, median progression-free survival (PFS) and overall survival (OS) were 61.7 and 133.4 wk, respectively; objective response rate (ORR) was 31.1% (Ann Oncol 2012;23:851P). We retrospectively investigated correlations between on-Tx HFS or A/F and efficacy endpoints in pts from this trial. Methods: AEs were recorded and graded using NCI CTCAE v3. Median PFS and OS were estimated by Kaplan−Meier method. The log-rank test was used to compare PFS and OS between groups with and without H
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Rahman, Md Arif, and Md Rashedul Hoque. "Fitting Time to First Birth Using Extended Cox Regression Model in Presence of Nonproportional Hazard." Dhaka University Journal of Science 63, no. 1 (2015): 25–30. http://dx.doi.org/10.3329/dujs.v63i1.21764.

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The Cox regression model, which is widely used for the analysis of factor effects with censored survival data, makes the assumption of constant hazard ratio. Different methods should be used to deal with non-proportionality of hazards when this assumption is violated. In this study, we use the Extended Cox regression model where time dependent covariate terms with fixed functions of time are considered. Time to first birth for the ever married women after marriage, taken from BDHS 2011 women data is fitted using Extended Cox regression model due to the failure of existence of proportionality a
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Dissertations / Theses on the topic "Time dependent covariate methods"

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Chen, I.-Chen. "Improved Methods and Selecting Classification Types for Time-Dependent Covariates in the Marginal Analysis of Longitudinal Data." UKnowledge, 2018. https://uknowledge.uky.edu/epb_etds/19.

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Generalized estimating equations (GEE) are popularly utilized for the marginal analysis of longitudinal data. In order to obtain consistent regression parameter estimates, these estimating equations must be unbiased. However, when certain types of time-dependent covariates are presented, these equations can be biased unless an independence working correlation structure is employed. Moreover, in this case regression parameter estimation can be very inefficient because not all valid moment conditions are incorporated within the corresponding estimating equations. Therefore, approaches using the
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Xie, Xiangwen. "Covariate measurement error methods in failure time regression /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/9538.

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Heltshe, Sonya Lenore. "Quantification of length-bias in screening trials with covariate-dependent test sensitivity /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.

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Thesis (Ph.D. in Biostatistics, Department of Preventive Medicine and Biometrics) -- University of Colorado Denver, 2007.<br>Typescript. Includes bibliographical references (leaves 89-93). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;
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Yang, Feng Wei. "Multigrid solution methods for nonlinear time-dependent systems." Thesis, University of Leeds, 2014. http://etheses.whiterose.ac.uk/7579/.

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An efficient, accurate and reliable numerical solver is essential for solving complex mathematical models and obtaining their computational approximations. The solver presented in this work is built upon nonlinear multigrid with the full approximation scheme (FAS). Its implementation is achieved, in part, using a complex, open source software library PARAMESH, and the resulting numerical solver, Campfire, also combines with adaptive mesh refinement, adaptive time stepping and parallelization through domain decomposition. There are five mathematical models considered in this work, ranging from
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Xie, Xiaoliang. "Large time-stepping methods for higher order time-dependent evolution equations." [Ames, Iowa : Iowa State University], 2008.

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Djidjeli, Kamel. "Numerical methods for some time-dependent partial differential equations." Thesis, Brunel University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293104.

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Halstead, David Michael. "Time dependent quantum methods applied to molecule-surface interactions." Thesis, University of Liverpool, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303642.

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Manrique, Garcia Aurora. "Econometric analysis of limited dependent time series." Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389797.

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Kim, Junkyoung. "Complex seismic sources and time-dependent moment tensor inversion." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184841.

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There are many examples of earthquakes whose surface expressions are much more complicated than the seismologically derived faulting models. Seismologists also have found seismic source complexity and improved seismicity data have shown that rupture may occur on irregular or multiple shear surfaces. To simultaneously map both geometrical and temporal variation of the seismic sources for a complex rupture history from observed seismograms, it is possible to use a time dependent moment tensor (TDMT) inversion. The TDMT inversion algorithm has been tested with three synthetic data examples with v
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Shafik, Nivien [Verfasser]. "Modeling Time-Dependent Economic Data by Boosting Methods / Nivien Shafik." Norderstedt : Books on Demand, 2012. http://d-nb.info/1021516821/34.

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Books on the topic "Time dependent covariate methods"

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Gustafsson, Bertil. Time dependent problems and difference methods. Wiley, 1995.

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Bertil, Gustafsson. Time dependent problems and difference methods. Wiley, 1995.

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Gustafsson, Bertil, Heinz-Otto Kreiss, and Joseph Oliger. Time-Dependent Problems and Difference Methods. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118548448.

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Tadmor, Eitan. Spectral methods for time dependent problems. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1990.

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High order difference methods for time dependent PDE. Springer, 2008.

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Zegeling, P. A. Moving-grid methods for time-dependent partial differential equations. Centrum voor Wiskunde en Informatica, 1993.

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Stylianopoulos, Nikolaos Stavros. Numerical methods for some time-dependent partial differential equations. Brunel University, 1991.

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Dateo, Christopher. Theoretical determination of chemical rate constants using novel time-dependent methods. NASA National Aeronautics and Space Administration, Ames Research Center, 1994.

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Dateo, Christopher. Theoretical determination of chemical rate constants using novel time-dependent methods. NASA National Aeronautics and Space Administration, Ames Research Center, 1994.

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Keeling, Stephen L. Galerkin/Runge-Kutta discretizations for parabolic equations with time dependent coefficients. ICASE, 1987.

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Book chapters on the topic "Time dependent covariate methods"

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Yu, Hai-Sui. "Time-Dependent Solutions." In Cavity Expansion Methods in Geomechanics. Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9596-4_6.

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Peyret, Roger. "Time-dependent equations." In Spectral Methods for Incompressible Viscous Flow. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4757-6557-1_5.

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Bangerth, Wolfgang, and Rolf Rannacher. "Time-Dependent Problems." In Adaptive Finite Element Methods for Differential Equations. Birkhäuser Basel, 2003. http://dx.doi.org/10.1007/978-3-0348-7605-6_9.

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Oller, Sergio. "Time-dependent Models." In Lecture Notes on Numerical Methods in Engineering and Sciences. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05194-9_6.

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Glimm, James, and Arthur Jaffe. "Scattering Theory: Time-Dependent Methods." In Quantum Physics. Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4612-4728-9_13.

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Hundsdorfer, Willem, and Jan Verwer. "Time Integration Methods." In Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-09017-6_2.

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Vabishchevich, Petr N. "SM Stability for Time-Dependent Problems." In Numerical Methods and Applications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18466-6_3.

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Shu, Chi-Wang. "Discontinous Galerkin Methods: Time-dependent Problems." In Encyclopedia of Applied and Computational Mathematics. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-540-70529-1_282.

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Gawiejnowicz, Stanisław. "Matrix methods in time-dependent scheduling." In Monographs in Theoretical Computer Science. An EATCS Series. Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-59362-2_19.

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Jutras-Dubé, Laurent, Adrien Henry, and Paul François. "Modelling Time-Dependent Acquisition of Positional Information." In Methods in Molecular Biology. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-8772-6_16.

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Conference papers on the topic "Time dependent covariate methods"

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Wu, Hao, and Xiaoping Du. "Time-Dependent System Reliability Analysis With Second Order Reliability Method." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22214.

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Abstract System reliability is quantified by the probability that a system performs its intended function in a period of time without failure. System reliability can be predicted if all the limit-state functions of the components of the system are available, and such a prediction is usually time consuming. This work develops a time-dependent system reliability method that is extended from the component time-dependent reliability method that uses the envelop method and second order reliability method. The proposed method is efficient and is intended for series systems with limit-state functions
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Öhrn, Yngve, George Maroulis, and Theodore E. Simos. "Time-Dependent Molecular Reaction Dynamics." In Computational Methods in Science and Engineering. AIP, 2007. http://dx.doi.org/10.1063/1.2827004.

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Meister, A., Th Sonar, Theodore E. Simos, George Psihoyios, Ch Tsitouras, and Zacharias Anastassi. "Numerical Methods for Time-Dependent PDEs." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3636879.

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Birken, P., A. Meister, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Symposium: Numerical Methods for Time-Dependent PDEs." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2009: Volume 1 and Volume 2. AIP, 2009. http://dx.doi.org/10.1063/1.3241273.

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BOŽIĆ, MIRJANA. "GEOMETRICAL INTERPRETATION OF TIME-DEPENDENT SPIN PHASES." In Proceedings of XI Workshop on Geometric Methods in Physics. WORLD SCIENTIFIC, 1993. http://dx.doi.org/10.1142/9789814440844_0022.

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Parzych, Marianna, Tomasz Marciniak, and Adam Dabrowski. "Adaptive methods of time-dependent crowd density distribution visualization." In 2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA). IEEE, 2018. http://dx.doi.org/10.23919/spa.2018.8563391.

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Subbarayalu, Sethuramalingam, and Lonny L. Thompson. "HP-Adaptive Time-Discontinuous Galerkin Finite Element Methods for Time-Dependent Waves." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60403.

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hp-Adaptive time-discontinuous Galerkin methods are developed for second-order hyperbolic systems. Explicit a priori error estimates in terms of time-step size, approximation order, and solution regularity are derived. Knowledge of these a priori convergence rates in combination with a posteriori error estimates computed from the jump in time-discontinuous solutions are used to automatically select time-step size h and approximation order p to achieve a specified error tolerance with a minimal number of total degrees-of-freedom. We show that the temporal jump error is a good indicator of the l
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Ebrahimian, Hossein, Fatemeh Jalayer, Domenico Asprone, et al. "An Outlook Into Time-Dependent Aftershock Vulnerability Assessment." In 4th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering. ECCOMAS, 2013. http://dx.doi.org/10.7712/compdyn-2013.1386.

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Ebrahimian, H., F. Jalayer, D. Asprone, et al. "AN OUTLOOK INTO TIME-DEPENDENT AFTERSHOCK VULNERABILITY ASSESSMENT." In 4th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering. Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2014. http://dx.doi.org/10.7712/120113.4511.c1386.

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Lou, Jialin, Lingquan Li, Hong Luo, and Hiroaki Nishikawa. "Explicit Hyperbolic Reconstructed Discontinuous Galerkin Methods for Time-Dependent Problems." In 2018 Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-4270.

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Reports on the topic "Time dependent covariate methods"

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Kumar, Akshat. Spectral Methods in Time-dependent Data Analysis. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1489620.

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Gottlieb, David. Spectral Methods for Time Dependent Partial Differential Equations. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada182809.

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Oliger, Joseph. Computing Methods for the Approximate Solution of Time Dependent Problems. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada286007.

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Shields, Sidney. Novel methods for the time-dependent Maxwell's equations and their applications. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1352142.

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Dupont, T., R. Glowinski, W. Kinton, and M. F. Wheeler. Mixed Finite Element Methods for Time Dependent Problems: Application to Control. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada455261.

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Hanes, Phillip J. A Means for Incorporating Time-Dependent Phenomena in Existing Vulnerability Analysis Methods. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada299723.

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Wong, George Y. Statistical Methods for Analyzing Time-Dependent Events in Breast Cancer Chemoprevention Studies. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada360834.

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Wong, George Y. Statistical Methods for Analyzing Time-Dependent Events in Breast Cancer Chemoprevention Studies. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada343655.

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Draganescu, Andrei. Efficient Solution Methods for Large-scale Optimization Problems Constrained by Time-dependent Partial Differential Equations (Final Report). Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1494701.

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Lewis, William K., Nick G. Glumac, and Eduardo G. Yukihara. Time-Dependent Temperature Measurements in Post-Detonation Combustion: Current State-of-the-Art Methods and Emerging Technologies. Defense Technical Information Center, 2016. http://dx.doi.org/10.21236/ad1006208.

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