Academic literature on the topic 'Hazard ratios'
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Journal articles on the topic "Hazard ratios"
Sedgwick, P. "Hazards and hazard ratios." BMJ 345, sep07 1 (September 7, 2012): e5980-e5980. http://dx.doi.org/10.1136/bmj.e5980.
Full textHernán, Miguel A. "The Hazards of Hazard Ratios." Epidemiology 21, no. 1 (January 2010): 13–15. http://dx.doi.org/10.1097/ede.0b013e3181c1ea43.
Full textSedgwick, P. "Hazard ratios." BMJ 343, sep21 2 (September 21, 2011): d5918. http://dx.doi.org/10.1136/bmj.d5918.
Full textSedgwick, P., and L. Marston. "Hazard ratios." BMJ 341, aug25 1 (August 25, 2010): c4566. http://dx.doi.org/10.1136/bmj.c4566.
Full textSedgwick, P. "Derivation of hazard ratios." BMJ 343, no. 02 1 (November 2, 2011): d6994. http://dx.doi.org/10.1136/bmj.d6994.
Full textBartlett, Jonathan W., Tim P. Morris, Mats J. Stensrud, Rhian M. Daniel, Stijn K. Vansteelandt, and Carl-Fredrik Burman. "The Hazards of Period Specific and Weighted Hazard Ratios." Statistics in Biopharmaceutical Research 12, no. 4 (June 23, 2020): 518–19. http://dx.doi.org/10.1080/19466315.2020.1755722.
Full textAlexander, Brian M., Jonathan D. Schoenfeld, and Lorenzo Trippa. "Hazards of Hazard Ratios — Deviations from Model Assumptions in Immunotherapy." New England Journal of Medicine 378, no. 12 (March 22, 2018): 1158–59. http://dx.doi.org/10.1056/nejmc1716612.
Full textVanderWeele, Tyler J. "Optimal approximate conversions of odds ratios and hazard ratios to risk ratios." Biometrics 76, no. 3 (January 6, 2020): 746–52. http://dx.doi.org/10.1111/biom.13197.
Full textPadhiar, A., C. Parker, JM Quigley, S. Mealing, and DA Scott. "Time Ratios Or Hazard Ratios: Accelerating Toward A New Approach?" Value in Health 18, no. 7 (November 2015): A686. http://dx.doi.org/10.1016/j.jval.2015.09.2537.
Full textDiao, Guoqing, and Joseph G. Ibrahim. "Quantifying time-varying cause-specific hazard and subdistribution hazard ratios with competing risks data." Clinical Trials 16, no. 4 (June 5, 2019): 363–74. http://dx.doi.org/10.1177/1740774519852708.
Full textDissertations / Theses on the topic "Hazard ratios"
Winnett, Angela Susan. "Flexible estimators of hazard ratios for exploratory and residual analysis." Thesis, University College London (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312945.
Full textLigges, Sandra [Verfasser], Christine [Akademischer Betreuer] Müller, and Jörg [Akademischer Betreuer] Rahnenführer. "Schätzung des Hazard-Ratios in zweiarmigen Überlebenszeitstudien / Sandra Ligges. Betreuer: Christine Müller. Gutachter: Jörg Rahnenführer." Dortmund : Universitätsbibliothek Dortmund, 2013. http://d-nb.info/1099709687/34.
Full textNåtman, Jonatan. "The performance of inverse probability of treatment weighting and propensity score matching for estimating marginal hazard ratios." Thesis, Uppsala universitet, Statistiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385502.
Full textHaller, 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.
Full textZur Beurteilung der Wirksamkeit von Behandlungen in klinischen Studien wird häufig die Zeit vom Beginn einer Behandlung bis zum Eintreten eines bestimmten kritischen oder erwünschten Ereignisses als Zielgröße verwendet. Da in vielen Fällen das entsprechende Ereignis nicht bei allen Patienten beobachtet werden kann, da z.B. Patienten nur für einen gewissen Zeitraum nachverfolgt werden können oder der Patientenkontakt in der Nachbeobachtungszeit abbricht, wurden im Rahmen der so genannten Ereigniszeit- bzw. Überlebenszeitanalyse Verfahren entwickelt, die bei Vorliegen dieser "zensierten Beobachtungen" konsistente Schätzer liefern und dabei die gesamte verfügbare Information verwenden. In der klassischen Ereigniszeitanalyse existiert nur ein möglicher Endpunkt, wie der Tod eines Patienten. Da Patienten jedoch an verschiedenen Ursachen versterben können, ist in manchen klinischen Studien die Zeit bis zu einem von zwei oder mehreren sich gegenseitig ausschließenden Ereignistypen von Interesse. So fungiert z.B. in vielen onkologischen Studien die Zeit bis zum tumor-bedingten Tod als primärer Endpunkt, wobei andere Todesursachen sogenannte konkurrierende Risiken ("Competing Risks") darstellen. In den letzten Jahren wurden mehrere Verfahren zur Datenanalyse bei Vorliegen konkurrierender Risiken entwickelt, bei denen entweder die ereignis-spezifische oder die Subdistribution-Hazardrate modelliert wird, oder bei denen die gemeinsame Verteilung von Ereigniszeiten und Ereignistypen als Produkt von Größen abgebildet wird, die aus den beobachtbaren Daten geschätzt werden können. In dieser Arbeit werden Methoden zur Analyse von Competing-Risks-Daten, einschließlich verschiedener Regressionsansätze, vorgestellt. Besonderes Augenmerk liegt auf der Schätzung der ereignis-spezifischen und Subdistribution-Hazardraten aus einem sogenannten Mixture Model. Diesbezüglich wird auch ein neuer Ansatz zur Schätzung der konditionalen Hazardraten in einem Mixture Model unter Verwendung penalisierter B-Spline-Funktionen (P-Splines) vorgestellt. Um die Eigenschaften des neuen Ansatzes zu untersuchen, wurde eine Simulationsstudie unter Einsatz verschiedener Simulationsstrategien für Competing-Risks-Daten, die in dieser Arbeit im Detail beschrieben werden, durchgeführt. Die Regressionsmodelle wurden auf Daten einer klinischen Kohortenstudie zur Evaluation einer Risikostratifizierung für Patienten, die einen Myokardinfarkt überlebt haben, angewandt. Abschließend werden die vorgestellten Methoden zur Analyse von Ereigniszeitdaten bei Vorliegen konkurrierender Risiken sowie die Ergebnisse der Simulationsstudie und der Datenanalyse diskutiert.
Singh, Bina Aruna. "GIS based assessment of seismic risk for the Christchurch CBD and Mount Pleasant, New Zealand." Thesis, University of Canterbury. Geography, 2006. http://hdl.handle.net/10092/1302.
Full textPACIFICO, CLAUDIA. "Comparison of propensity score based methods for estimating marginal hazard ratios with composite unweighted and weighted endpoints: simulation study and application to hepatocellular carcinoma." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2021. http://hdl.handle.net/10281/306601.
Full textIntroduction My research activity aims to use the data from the HERCOLES study, a retrospective study on hepatocarcinoma, as an application example for the comparison of statistical methods for estimating the marginal effect of a certain treatment on standard survival endpoints (unweighted) and weighted composite endpoints. This last approach, unexplored to date, is motivated by the need to take into account the different clinical relevance of cause-specific events. In particular, death is considered the worst event but a greater relevance is also given to local recurrence compared to non-local one. To evaluate the statistical performance of these methods, two simulation protocols were developed. Methods To remove or reduce the effect of confounders (characteristics of the subject and other baseline factors that determine systematic differences between treatment groups) in order to quantify a marginal effect, it is necessary to use appropriate statistical methods, based on the Propensity Score (PS): the probability that a subject is assigned to a treatment conditional on the covariates measured at baseline. In my thesis I considered some of the PS-based methods available in literature (Austin 2013): - PS as a covariate with spline transformation - PS as a stratified categorical covariate with respect to quantiles - Pairing for PS - Inverse probability weighting (IPW) The marginal effect of the unweighted composite endpoint is measured in terms of marginal hazard ratio (HR) estimated using a Cox model. As regards the weighted composite endpoint, the estimator of the treatment effect is the non-parametric estimator of the ratio between cumulative hazards proposed by Ozga and Rauch (2019). Simulation protocol The data generation mechanism is similar for both simulation studies. In both simulation protocols, the data generation mechanism is similar to that used by Austin (2013). Specifically, with regard to the unweighted endpoint (Disease Free Survival), I simulated three scenarios by considering respectively three values for the marginal HR: HR=1 (scenario a); HR=1.5 (scenario b) and HR=2 (scenario c). In each scenario, I simulated 10,000 datasets consisting of 1,000 subjects and for the estimate of the PS I generated 12 confounders. The simulation study for the weighted endpoint provides for the same scenarios (a, b, c) combined with three types of weights for the two single endpoints: (w1,w2)=(1,1); (w1,w2)=(1,0.5); (w1,w2)=(1,0.8). In each scenario I simulated 1,000 data sets consisting of 1,000 subjects and for the estimate of the PS I generated 3 confounders. Furthermore, I considered only the two methods considered in the literature to be the most robust: IPW and PS pairing (Austin 2016). Results The results relating to the unweighted composite endpoint confirm what is already known in the literature: IPW is the most robust method based on PS, followed by matching for PS. The innovative aspect of my thesis concerns the implementation of simulation studies for the evaluation of the performance of PS-based methods in estimating the marginal effect of a certain treatment with respect to a weighted composite survival endpoint: the IPW is confirmed as the most accurate and precise method.
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.
Full textMASO, L. DAL. "LEGAME TRA L¿IMMUNODEFICIENZA HIV-CORRELATA E L¿INSORGENZA DI TUMORI: ASPETTI DI METODOLOGIA STATISTICA." Doctoral thesis, Università degli Studi di Milano, 2012. http://hdl.handle.net/2434/168454.
Full textPetit, Claire. "Méta-analyse en réseau et cancer ORL : utilité des critères de jugement multiples Individual Patient Data Network Meta-Analysis Using Either Restricted Mean Survival Time Difference or Hazard Ratios: Is There a Difference? A Case Study on Locoregionally Advanced Nasopharyngeal Carcinomas." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASR010.
Full textLocally advanced head and neck cancers, whether “classical” squamous cell carcinomas or undifferentiated carcinomas of the nasopharynx, are treated by multimodality therapy. Loco-regional treatment is the main therapy, with surgery and/or radiotherapy. This radiotherapy can be standard (66-70 Grays in 33-35 fractions) or can have a modified fractionation (hyperfractionation or acceleration). Chemotherapy is often associated to these treatments, with different timing: induction, concomitant or adjuvant.Several randomized trials have compared different combinations of treatments. A network meta-analysis allows performing a pooled analysis of all these randomized trials, using the direct and indirect information available to determine the relative efficacy of the treatments.The objective of this doctoral thesis was to perform frequentist network meta-analyses using individual patient data from three standard meta-analyses:- combination of two meta-analyses for squamous cell carcinomas (MACH-NC and MARCH, 115 trials; 28,978 patients and 16 modalities of treatment);- one meta-analysis for nasopharyngeal carcinomas (MAC-NPC, 28 trials; 8,214 patients and 8 modalities of treatment);with different endpoints (overall survival, progression-free or event-free survival, locoregional and metastatic control, cancer-related or non-cancer-related deaths) and different measures for these endpoints: hazard ratio and restricted mean survival time difference
Cain, Samuel Franklin. "Rating Rockfall Hazard in Tennessee." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/9972.
Full textMaster of Science
Books on the topic "Hazard ratios"
Sample Size Calculation Based on the Semiparametric Analysis of Short-term and Long-term Hazard Ratios. [New York, N.Y.?]: [publisher not identified], 2013.
Find full textShoven, John B. Real interest rates and the savings and loan crisis: The moral hazard premium. Cambridge, MA: National Bureau of Economic Research, 1991.
Find full textWatson, Peter. Survival analysis. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780198527565.003.0018.
Full textPeacock, Janet L., Sally M. Kerry, and Raymond R. Balise. Survival analysis. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198779100.003.0011.
Full textElwood, Mark. Confounding. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682898.003.0007.
Full textStoolmiller, Mike. An Introduction to Using Multivariate Multilevel Survival Analysis to Study Coercive Family Process. Edited by Thomas J. Dishion and James Snyder. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199324552.013.27.
Full textLiebman, Amy K., and John May. Hazards for Agricultural Workers. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190662677.003.0035.
Full textBesedovsky, Natalia. Uncertain Meanings of Risk. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198820802.003.0011.
Full textMerry, Alan F., Simon J. Mitchell, and Jonathan G. Hardman. Hazards in anaesthetic practice: general considerations, injury, and drugs. Edited by Jonathan G. Hardman. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0044.
Full textMerry, Alan F., Simon J. Mitchell, and Jonathan G. Hardman. Hazards in anaesthetic practice: body systems and occupational hazards. Edited by Jonathan G. Hardman. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0045.
Full textBook chapters on the topic "Hazard ratios"
Rouam, Sigrid. "Hazard Ratios." In Encyclopedia of Systems Biology, 878–80. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_228.
Full textHilsenbeck, Susan G., Peter M. Ravdin, Carl A. de Moor, Gary C. Chamness, C. Kent Osborne, and Gary M. Clark. "Time-dependence of hazard ratios for prognostic factors in primary breast cancer." In Prognostic variables in node-negative and node-positive breast cancer, 317–27. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5195-9_25.
Full textNahler, Gerhard. "hazard ratio." In Dictionary of Pharmaceutical Medicine, 84. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_631.
Full textSchmoor, Claudia, and Erika Graf. "Hazard Ratio." In Methods and Applications of Statistics in Clinical Trials, 483–99. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118596005.ch38.
Full textAndersen, Per Kragh. "Hazard Ratio Estimator." In International Encyclopedia of Statistical Science, 624–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_284.
Full textCummings, Peter. "Hazards." In Analysis of Incidence Rates, 417–48. Boca Raton : CRC Press, Taylor & Francis Group, 2019.: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429055713-25.
Full textDi Maso, Matteo, Monica Ferraroni, Pasquale Ferrante, Serena Delbue, and Federico Ambrogi. "Longitudinal profile of a set of biomarkers in predicting Covid-19 mortality using joint models." In Proceedings e report, 191–96. Florence: Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-461-8.36.
Full textWijaya, I. Putu Krishna, Peeranan Towashiraporn, Anish Joshi, Susantha Jayasinghe, Anggraini Dewi, and Md Nurul Alam. "Climate Change-Induced Regional Landslide Hazard and Exposure Assessment for Aiding Climate Resilient Road Infrastructure Planning: A Case Study in Bagmati and Madhesh Provinces, Nepal." In Progress in Landslide Research and Technology, Volume 1 Issue 1, 2022, 175–84. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16898-7_12.
Full textAtreya, Ajita, and Howard Kunreuther. "Assessing community resilience: mapping the community rating system (CRS) against the 6C-4R frameworks." In Environmental Hazards and Resilience, 71–90. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003171430-4.
Full textHasanuzzaman, Md, Partha Pratim Adhikary, Biswajit Bera, and Pravat Kumar Shit. "Flood Vulnerability Assessment Using AHP and Frequency Ratio Techniques." In Spatial Modelling of Flood Risk and Flood Hazards, 91–104. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94544-2_6.
Full textConference papers on the topic "Hazard ratios"
Atia, Mohamed, Ahmed Abdelkhalek, Anjan Sarkar, Matt Keys, Mahesh Patel, Mohamed Eissa, and Tarek Omar. "Offshore Structure Specific Performance Targets." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/208084-ms.
Full textPranata, Bayu, Tedi Yudistira, Erdinc Saygin, Phil R. Cummins, Sri Widiyantoro, Budi Brahmantyo, and Zulfakriza. "Seismic microzonation of Bandung basin from microtremor horizontal-to-vertical spectral ratios (HVSR)." In INTERNATIONAL SYMPOSIUM ON EARTH HAZARD AND DISASTER MITIGATION (ISEDM) 2017: The 7th Annual Symposium on Earthquake and Related Geohazard Research for Disaster Risk Reduction. Author(s), 2018. http://dx.doi.org/10.1063/1.5047289.
Full textWang, Xiaowei, and YeongAe Heo. "Artificial Neural Network Surrogate Modeling for Offshore Wind Turbines Under Multi-Hazards." In ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/omae2022-81048.
Full textPorter, Michael, Alex Baumgard, and K. Wayne Savigny. "A Hazard and Risk Management System for Large Rock Slope Hazards Affecting Pipelines in Mountainous Terrain." In 2002 4th International Pipeline Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/ipc2002-27242.
Full textZheng, Lei, Mingzhuo Bai, Bei Zhang, Tiancheng Cui, and Haishen Xu. "Research and Development of X70 Large Diameter UOE Linepipe With High Deformability for Strain-Based Design Pipeline." In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90610.
Full textPorter, Michael, and K. Wayne Savigny. "Natural Hazard and Risk Management for South American Pipelines." In 2002 4th International Pipeline Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/ipc2002-27235.
Full textSavigny, K. Wayne, Michael Porter, Joyce Chen, Eugene Yaremko, Michael Reed, and Glenn Urquhart. "Natural Hazard and Risk Management for Pipelines." In 2002 4th International Pipeline Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/ipc2002-27176.
Full textZama, Shinsaku, Makoto Endo, Ken Hatayama, Shoichi Yoshida, Kazuma Kawano, Kazuyoshi Sekine, and Hiroaki Maruyama. "Building a Real Time System for Evaluating Oil Storage Tank Damage Due to Earthquakes in Petroleum Stockpiling Bases." In ASME/JSME 2004 Pressure Vessels and Piping Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/pvp2004-3069.
Full textMcIntire, Matthew G., Christopher Hoyle, Irem Y. Tumer, and David C. Jensen. "Safety-Informed Design: Using Cluster Analysis to Elicit Hazardous Emergent Failure Behavior in Complex Systems." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-52168.
Full textAlmeida, Raissa Janine de, Carolina Terra de Moraes Luizaga, and Cristiane Murta Nascimento. "SURVIVAL AND PROGNOSTIC FACTORS OF BREAST CANCER IN WOMEN IN THE STATE OF SÃO PAULO." In Scientifc papers of XXIII Brazilian Breast Congress - 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s1031.
Full textReports on the topic "Hazard ratios"
Mirel, Lisa. NHSR 155: Comparative Analysis of the National Health and Nutrition Examination Survey Public-Use and Restricted-Use Linked Mortality Files - Production Schedule. National Center for Health Statistics (U.S.), May 2021. http://dx.doi.org/10.15620/cdc:104774.
Full textLiu, Jing, Yuanmei Chen, Die Liu, Fang Ye, Qi Sun, Qiang Huang, Jing Dong Dong, Tao Pei, Yuan He, and Qi Zhang. Prenatal exposure to particulate matter and term low birth weight:systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2022. http://dx.doi.org/10.37766/inplasy2022.8.0064.
Full textLi, Rongyang, Zheng Ma, and Jianhao Qiu. Prognostic and clinicopathological significance of pretreatment systemic immune-inflammation index in esophageal cancer: A systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2022. http://dx.doi.org/10.37766/inplasy2022.8.0024.
Full textMirel, Lisa, Cindy Zhang, Christine Cox, Ye Yeats, Félix Suad El Burai, and Golden Cordell. Comparative analysis of the National Health and Nutrition Examination Survey public-use and restricted-use linked mortality files. Centers for Disease Control and Prevention (U.S.), May 2021. http://dx.doi.org/10.15620/cdc:104744.
Full textWu, Bin, Lixia Guo, Kaikai Zhen, and Chao Sun. Diagnostic and prognostic value of miRNAs in hepatoblastoma: A systematic review with meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2021. http://dx.doi.org/10.37766/inplasy2021.11.0045.
Full textWang, Qing, Zi-Xu Wang, Nasu M. Otomi, and Shinji Mine. Association between cutoffs for classifying high- and low-volume hospitals and long-term survival after eophagectomy: A systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2022. http://dx.doi.org/10.37766/inplasy2022.7.0023.
Full textSteele, Robert, Ralph E. Williams, Julie C. Weatherby, Elizabeth D. Reinhardt, James T. Hoffman, and R. W. Thier. Stand hazard rating for central Idaho forests. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station, 1996. http://dx.doi.org/10.2737/int-gtr-332.
Full textMelby, Jeffrey, Thomas Massey, Abigail Stehno, Norberto Nadal-Caraballo, Shubhra Misra, and Victor Gonzalez. Sabine Pass to Galveston Bay, TX Pre-construction, Engineering and Design (PED) : coastal storm surge and wave hazard assessment : report 1 – background and approach. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41820.
Full textStehno, Abigail, Jeffrey Melby, Shubhra Misra, Norberto Nadal-Caraballo, and Victor Gonzalez. Sabine Pass to Galveston Bay, TX Pre-construction, Engineering and Design (PED) : coastal storm surge and wave hazard assessment : report 2 – Port Arthur. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41901.
Full textStehno, Abigail, Jeffrey Melby, Shubhra Misra, Norberto Nadal-Caraballo, and Victor Gonzalez. Sabine Pass to Galveston Bay, TX Pre-construction, Engineering and Design (PED) : coastal storm surge and wave hazard assessment : report 4 – Freeport. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41903.
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