Highway Safety Analytics and Modeling

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Publisher : Elsevier
ISBN 13 : 0128168196
Total Pages : 504 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Highway Safety Analytics and Modeling by : Dominique Lord

Download or read book Highway Safety Analytics and Modeling written by Dominique Lord and published by Elsevier. This book was released on 2021-02-27 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Highway Safety Analytics and Modeling comprehensively covers the key elements needed to make effective transportation engineering and policy decisions based on highway safety data analysis in a single. reference. The book includes all aspects of the decision-making process, from collecting and assembling data to developing models and evaluating analysis results. It discusses the challenges of working with crash and naturalistic data, identifies problems and proposes well-researched methods to solve them. Finally, the book examines the nuances associated with safety data analysis and shows how to best use the information to develop countermeasures, policies, and programs to reduce the frequency and severity of traffic crashes. Complements the Highway Safety Manual by the American Association of State Highway and Transportation Officials Provides examples and case studies for most models and methods Includes learning aids such as online data, examples and solutions to problems

Data-Centric Safety

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Publisher : Elsevier
ISBN 13 : 0128233222
Total Pages : 542 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Data-Centric Safety by : Alastair Faulkner

Download or read book Data-Centric Safety written by Alastair Faulkner and published by Elsevier. This book was released on 2020-05-27 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-Centric Safety presents core concepts and principles of system safety management, and then guides the reader through the application of these techniques and measures to Data-Centric Systems (DCS). The authors have compiled their decades of experience in industry and academia to provide guidance on the management of safety risk. Data Safety has become increasingly important as many solutions depend on data for their correct and safe operation and assurance. The book’s content covers the definition and use of data. It recognises that data is frequently used as the basis of operational decisions and that DCS are often used to reduce user oversight. This data is often invisible, hidden. DCS analysis is based on a Data Safety Model (DSM). The DSM provides the basis for a toolkit leading to improvement recommendations. It also discusses operation and oversight of DCS and the organisations that use them. The content covers incident management, providing an outline for incident response. Incident investigation is explored to address evidence collection and management.Current standards do not adequately address how to manage data (and the errors it may contain) and this leads to incidents, possibly loss of life. The DSM toolset is based on Interface Agreements to create soft boundaries to help engineers facilitate proportionate analysis, rationalisation and management of data safety. Data-Centric Safety is ideal for engineers who are working in the field of data safety management. This book will help developers and safety engineers to: Determine what data can be used in safety systems, and what it can be used for Verify that the data being used is appropriate and has the right characteristics, illustrated through a set of application areas Engineer their systems to ensure they are robust to data errors and failures

Medical Product Safety Evaluation

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Publisher : CRC Press
ISBN 13 : 1351021974
Total Pages : 372 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Medical Product Safety Evaluation by : Jie Chen

Download or read book Medical Product Safety Evaluation written by Jie Chen and published by CRC Press. This book was released on 2018-09-03 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered issues and challenges in the design and analysis of safety studies are discussed with illustrative applications and examples. Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered issues and challenges in the design and analysis of safety studies are discussed with illustrative applications and examples. The book is designed not only for biopharmaceutical professionals, such as statisticians, safety specialists, pharmacovigilance experts, and pharmacoepidemiologists, who can use the book as self-learning materials or in short courses or training programs, but also for graduate students in statistics and biomedical data science for a one-semester course. Each chapter provides supplements and problems as more readings and exercises.

Statistical Methods and Modeling and Safety Data, Analysis, and Evaluation

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Publisher :
ISBN 13 :
Total Pages : 212 pages
Book Rating : 4.:/5 ( download)

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Book Synopsis Statistical Methods and Modeling and Safety Data, Analysis, and Evaluation by : National Research Council (U.S.). Transportation Research Board

Download or read book Statistical Methods and Modeling and Safety Data, Analysis, and Evaluation written by National Research Council (U.S.). Transportation Research Board and published by . This book was released on 2003 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers empirical approaches to outlier detection in intelligent transportation systems data, modeling of traffic crash-flow relationships for intersections, profiling of high-frequency accident locations by use of association rules, analysis of rollovers and injuries with sport utility vehicles, and automated accident detection at intersections via digital audio signal processing.

Predictive Safety Analytics

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Publisher : CRC Press
ISBN 13 : 1003806279
Total Pages : 82 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Predictive Safety Analytics by : Robert Stevens

Download or read book Predictive Safety Analytics written by Robert Stevens and published by CRC Press. This book was released on 2023-10-03 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nearly all our safety data collection and reporting systems are backwardlooking: incident reports; dashboards; compliance monitoring systems; and so on. This book shows how we can use safety data in a forward-looking, predictive sense. Predictive Safety Analytics: Reducing Risk through Modeling and Machine Learning contains real use cases where organizations have reduced incidents by employing predictive analytics to foresee and mitigate future risks. It discusses how Predictive Safety Analytics is an opportunity to break through the plateau problem where safety rate improvements have stagnated in many organizations. The book presents how the use of data, coupled with advanced analytical techniques, including machine learning, has become a proven and successful innovation. Emphasis is placed on how the book can “meet you where you are” by illuminating a path to get there, starting with simple data the organization likely already has. Highlights of the book are the real examples and case studies that will assist in generating thoughts and ideas for what might work for individual readers and how they can adapt the information to their particular situations. This book is written for professionals and researchers in system reliability, risk and safety assessment, quality control, operational managers in selected industries, data scientists, and ML engineers. Students taking courses in these areas will also find this book of interest to them.

Medical Product Safety Evaluation

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Publisher : CRC Press
ISBN 13 : 1351021966
Total Pages : 220 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Medical Product Safety Evaluation by : Jie Chen

Download or read book Medical Product Safety Evaluation written by Jie Chen and published by CRC Press. This book was released on 2018-09-03 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered issues and challenges in the design and analysis of safety studies are discussed with illustrative applications and examples. Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered issues and challenges in the design and analysis of safety studies are discussed with illustrative applications and examples. The book is designed not only for biopharmaceutical professionals, such as statisticians, safety specialists, pharmacovigilance experts, and pharmacoepidemiologists, who can use the book as self-learning materials or in short courses or training programs, but also for graduate students in statistics and biomedical data science for a one-semester course. Each chapter provides supplements and problems as more readings and exercises.

Safety Data, Analysis, and Modeling

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Publisher :
ISBN 13 : 9780309125956
Total Pages : 198 pages
Book Rating : 4.1/5 (259 download)

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Book Synopsis Safety Data, Analysis, and Modeling by :

Download or read book Safety Data, Analysis, and Modeling written by and published by . This book was released on 2008 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: TRB's Transportation Research Record: Journal of the Transportation Research Board, No. 2083 includes 22 papers that explore data-driven perspective on safety risk management, macrolevel annual safety performance measures, tool with road-level crash prediction for safety planning, congestion and number of lanes on urban freeways relationship to safety, accident modification factors, identifying hazardous road locations, identifying hot spots, and safety influence area for four-legged signalized intersections. This issue of the TRR also examines automated analysis of accident exposure, new simulation-based surrogate safety measure, hit-and-run crashes, speed limit increases' effect on injury severity, safety of curbs, proximity to intersections and injury severity of urban arterial crashes, nested logit model of traffic flow on freeway ramps, intelligent transportation system data for assessing freeway safety, vehicle time spent in following on two-lane rural roads, indirect associations in crash data, crash prediction models for rural highways, and methodology for identifying causal factors of accident severity.

Advanced Data Analysis and Modelling in Chemical Engineering

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Publisher : Elsevier
ISBN 13 : 0444594841
Total Pages : 416 pages
Book Rating : 4.4/5 (445 download)

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Book Synopsis Advanced Data Analysis and Modelling in Chemical Engineering by : Denis Constales

Download or read book Advanced Data Analysis and Modelling in Chemical Engineering written by Denis Constales and published by Elsevier. This book was released on 2016-08-23 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Data Analysis and Modeling in Chemical Engineering provides the mathematical foundations of different areas of chemical engineering and describes typical applications. The book presents the key areas of chemical engineering, their mathematical foundations, and corresponding modeling techniques. Modern industrial production is based on solid scientific methods, many of which are part of chemical engineering. To produce new substances or materials, engineers must devise special reactors and procedures, while also observing stringent safety requirements and striving to optimize the efficiency jointly in economic and ecological terms. In chemical engineering, mathematical methods are considered to be driving forces of many innovations in material design and process development. Presents the main mathematical problems and models of chemical engineering and provides the reader with contemporary methods and tools to solve them Summarizes in a clear and straightforward way, the contemporary trends in the interaction between mathematics and chemical engineering vital to chemical engineers in their daily work Includes classical analytical methods, computational methods, and methods of symbolic computation Covers the latest cutting edge computational methods, like symbolic computational methods

Safety Causation Analysis in Sociotechnical Systems

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Publisher : Springer Nature
ISBN 13 : 303162470X
Total Pages : 537 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Safety Causation Analysis in Sociotechnical Systems by : Esmaeil Zarei

Download or read book Safety Causation Analysis in Sociotechnical Systems written by Esmaeil Zarei and published by Springer Nature. This book was released on 2024 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Development of Traffic Safety Zones and Integrating Macroscopic and Microscopic Safety Data Analytics for Novel Hot Zone Identification

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Publisher :
ISBN 13 :
Total Pages : 241 pages
Book Rating : 4.:/5 (892 download)

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Book Synopsis Development of Traffic Safety Zones and Integrating Macroscopic and Microscopic Safety Data Analytics for Novel Hot Zone Identification by : JaeYoung Lee

Download or read book Development of Traffic Safety Zones and Integrating Macroscopic and Microscopic Safety Data Analytics for Novel Hot Zone Identification written by JaeYoung Lee and published by . This book was released on 2014 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Moreover, macro-level safety models have accuracy problem. The low prediction power of the model may be caused by crashes that occur near the boundaries of zones, high-level aggregation, and neglecting spatial autocorrelation. In this dissertation, several methodologies are proposed to alleviate these limitations in the macro-level safety research. TSAZ (Traffic Safety Analysis Zone) is developed as a new zonal system for the macroscopic safety analysis and nested structured modeling method is suggested to improve the model performance. Also, a multivariate statistical modeling method for multiple crash types is proposed in this dissertation. Besides, a novel screening methodology for integrating two levels is suggested. The integrated screening method is suggested to overcome shortcomings of zonal-level screening, since the zonal-level screening cannot take specific sites with high risks into consideration. It is expected that the integrated screening approach can provide a comprehensive perspective by balancing two aspects: macroscopic and microscopic approaches.

Safety and Risk Modeling and Its Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 0857294709
Total Pages : 430 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Safety and Risk Modeling and Its Applications by : Hoang Pham

Download or read book Safety and Risk Modeling and Its Applications written by Hoang Pham and published by Springer Science & Business Media. This book was released on 2011-09-08 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Safety and Risk Modeling presents the latest theories and methods of safety and risk with an emphasis on safety and risk in modeling. It covers applications in several areas including transportations and security risk assessments, as well as applications related to current topics in safety and risk. Safety and Risk Modeling is a valuable resource for understanding the latest developments in both qualitative and quantitative methods of safety and risk analysis and their applications in operating environments. Each chapter has been written by active researchers or experienced practitioners to bridge the gap between theory and practice and to trigger new research challenges in safety and risk. Topics include: safety engineering, system maintenance, safety in design, failure analysis, and risk concept and modelling. Postgraduate students, researchers, and practitioners in many fields of engineering, operations research, management, and statistics will find Safety and Risk Modeling a state-of-the-art survey of reliability and quality in design and practice.

Data Analytics for Intelligent Transportation Systems

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Publisher : Elsevier
ISBN 13 : 0128098511
Total Pages : 346 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Data Analytics for Intelligent Transportation Systems by : Mashrur Chowdhury

Download or read book Data Analytics for Intelligent Transportation Systems written by Mashrur Chowdhury and published by Elsevier. This book was released on 2017-04-05 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Includes case studies in each chapter that illustrate the application of concepts covered Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies Contains contributors from both leading academic and commercial researchers Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications

Reliability Assessment of Safety and Production Systems

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Publisher : Springer Nature
ISBN 13 : 3030647080
Total Pages : 878 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Reliability Assessment of Safety and Production Systems by : Jean-Pierre Signoret

Download or read book Reliability Assessment of Safety and Production Systems written by Jean-Pierre Signoret and published by Springer Nature. This book was released on 2021-03-23 with total page 878 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides, as simply as possible, sound foundations for an in-depth understanding of reliability engineering with regard to qualitative analysis, modelling, and probabilistic calculations of safety and production systems. Drawing on the authors’ extensive experience within the field of reliability engineering, it addresses and discusses a variety of topics, including: • Background and overview of safety and dependability studies; • Explanation and critical analysis of definitions related to core concepts; • Risk identification through qualitative approaches (preliminary hazard analysis, HAZOP, FMECA, etc.); • Modelling of industrial systems through static (fault tree, reliability block diagram), sequential (cause-consequence diagrams, event trees, LOPA, bowtie), and dynamic (Markov graphs, Petri nets) approaches; • Probabilistic calculations through state-of-the-art analytical or Monte Carlo simulation techniques; • Analysis, modelling, and calculations of common cause failure and uncertainties; • Linkages and combinations between the various modelling and calculation approaches; • Reliability data collection and standardization. The book features illustrations, explanations, examples, and exercises to help readers gain a detailed understanding of the topic and implement it into their own work. Further, it analyses the production availability of production systems and the functional safety of safety systems (SIL calculations), showcasing specific applications of the general theory discussed. Given its scope, this book is a valuable resource for engineers, software designers, standard developers, professors, and students.

Modeling Multilevel Data in Traffic Safety

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Publisher : Nova Science Publishers
ISBN 13 : 9781606922705
Total Pages : 0 pages
Book Rating : 4.9/5 (227 download)

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Book Synopsis Modeling Multilevel Data in Traffic Safety by : Hoong Chor Chin

Download or read book Modeling Multilevel Data in Traffic Safety written by Hoong Chor Chin and published by Nova Science Publishers. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Background: In the study of traffic system safety, statistical models have been broadly applied to establish the relationships between the traffic crash occurrence and various risk factors. Most of the existing methods, such as the generalised linear regression models, assume that each observation (e.g. a crash or a vehicle involvement) in the estimation procedure corresponds to an individual situation. Hence, the residuals from the models exhibit independence. Problem: However, this "independence" assumption may often not hold true since multilevel data structures exist extensively because of the data collection and clustering process. Disregarding the possible within-group correlations may lead to production of models with unreliable parameter estimates and statistical inferences. Method: Following a literature review of crash prediction models, this book proposes a 5 T-level hierarchy, viz. (Geographic region level -- Traffic site level -- Traffic crash level -- Driver-vehicle unit level -- Vehicle-occupant level) Time level, to establish a general form of multilevel data structure in traffic safety analysis. To model properly the potential between-group heterogeneity due to the multilevel data structure, a framework of hierarchical models that explicitly specify multilevel structure and correctly yield parameter estimates is employed. Bayesian inference using Markov chain Monte Carlo algorithm is developed to calibrate the proposed hierarchical models. Two Bayesian measures, viz. the Deviance Information Criterion and Cross-Validation Predictive Densities, are adapted to establish the model suitability. Illustrations: The proposed method is illustrated using two case studies in Singapore: 1) a crash-frequency prediction model which takes into account Traffic site level and Time level; 2) a crash-severity prediction model which takes into account Traffic crash level and Driver-vehicle unit level. Conclusion: Comparing the predictive abilities of the proposed models against those of traditional methods, the study demonstrates the importance of accounting for the within-group correlations and illustrates the flexibilities and effectiveness of the Bayesian hierarchical approach in modelling multilevel structure of traffic safety data.

The Art of Regression Modeling in Road Safety

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Publisher : Springer
ISBN 13 : 331912529X
Total Pages : 242 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis The Art of Regression Modeling in Road Safety by : Ezra Hauer

Download or read book The Art of Regression Modeling in Road Safety written by Ezra Hauer and published by Springer. This book was released on 2014-12-10 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book explains how to fashion useful regression models from commonly available data to erect models essential for evidence-based road safety management and research. Composed from techniques and best practices presented over many years of lectures and workshops, The Art of Regression Modeling in Road Safety illustrates that fruitful modeling cannot be done without substantive knowledge about the modeled phenomenon. Class-tested in courses and workshops across North America, the book is ideal for professionals, researchers, university professors, and graduate students with an interest in, or responsibilities related to, road safety. This book also: · Presents for the first time a powerful analytical tool for road safety researchers and practitioners · Includes problems and solutions in each chapter as well as data and spreadsheets for running models and PowerPoint presentation slides · Features pedagogy well-suited for graduate courses and workshops including problems, solutions, and PowerPoint presentations · Equips readers to perform all analyses on a spreadsheet without requiring mastery of complex and costly software · Emphasizes understanding without esoteric mathematics · Makes assumptions visible and explains their role and consequences

Analysis of Safety Data of Drug Trials

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Publisher : Springer
ISBN 13 : 3030058042
Total Pages : 217 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Analysis of Safety Data of Drug Trials by : Ton J. Cleophas

Download or read book Analysis of Safety Data of Drug Trials written by Ton J. Cleophas and published by Springer. This book was released on 2019-02-26 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 2010, the 5th edition of the textbook, "Statistics Applied to Clinical Studies", was published by Springer and since then has been widely distributed. The primary object of clinical trials of new drugs is to demonstrate efficacy rather than safety. However, a trial in humans which does not adequately address safety is unethical, while the assessment of safety variables is an important element of the trial. An effective approach is to present summaries of the prevalence of adverse effects and their 95% confidence intervals. In order to estimate the probability that the differences between treatment and control group occurred merely by chance, a statistical test can be performed. In the past few years, this pretty crude method has been supplemented and sometimes, replaced with more sophisticated and better sensitive methodologies, based on machine learning clusters and networks, and multivariate analyses. As a result, it is time that an updated version of safety data analysis was published. The issue of dependency also needs to be addressed. Adverse effects may be either dependent or independent of the main outcome. For example, an adverse effect of alpha blockers is dizziness and this occurs independently of the main outcome "alleviation of Raynaud 's phenomenon". In contrast, the adverse effect "increased calorie intake" occurs with "increased exercise", and this adverse effect is very dependent on the main outcome "weight loss". Random heterogeneities, outliers, confounders, interaction factors are common in clinical trials, and all of them can be considered as kinds of adverse effects of the dependent type. Random regressions and analyses of variance, high dimensional clusterings, partial correlations, structural equations models, Bayesian methods are helpful for their analysis. The current edition was written for non-mathematicians, particularly medical and health professionals and students. It provides examples of modern analytic methods so far largely unused in safety analysis. All of the 14 chapters have two core characteristics, First, they are intended for current usage, and they are particularly concerned with that usage. Second, they try and tell what readers need to know in order to understand and apply the methods. For that purpose, step by step analyses of both hypothesized and real data examples are provided.

Transportation Safety Data and Analysis

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Publisher :
ISBN 13 :
Total Pages : 138 pages
Book Rating : 4.:/5 (747 download)

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Book Synopsis Transportation Safety Data and Analysis by : Grant G. Schultz

Download or read book Transportation Safety Data and Analysis written by Grant G. Schultz and published by . This book was released on 2010 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent research suggests that traditional safety evaluation methods may be inadequate in accurately determining the effectiveness of roadway safety measures. In recent years, advanced statistical methods are being utilized in traffic safety studies to more accurately determine the effectiveness of roadway safety measures. These methods, particularly Bayesian statistical techniques, have the capabilities to account for the shortcomings of traditional methods. Hierarchical Bayesian modeling is a powerful tool that more fully identifies a given problem than a simpler model could. This report explains the process wherein a hierarchical Bayesian model is developed as a tool to analyze the effectiveness of two types of road safety measures: raised medians and cable barrier. Several sites where these safety measures have been implemented in the last 10 years were evaluated using available crash data. The results of this study show that the installation of a raised median is an effective technique to reduce the overall crash frequency and crash severity on Utah roadways. The analysis of cable barrier systems shows that they are effective in decreasing cross-median crashes and crash severity. The tool developed through the research can now be utilized for additional analyses, including hot-spot analysis, before-after change, and general safety modeling. This tool will be an asset to the Utah Department of Transportation Traffic and Safety Division for data analysis in the years to come.