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Published: 10 March 2023

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1

Townsend, John S. Review of the probabilistic failure analysis methodology and other probabilistic approaches for application in aerospace structural design. Huntsville, Ala: George C. Marshall Space Flight Center, 1993.

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2

Guide to drug development: A comprehensive review & assessment. Philadelphia: Wolters Kluwer/Lippincott Williams & Wilkins Health, 2009.

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3

1920-, Ichida Takashi, and Voigt Edward C, eds. Product design review: A method for error-free product development. Portland, Or: Productivity Press, 1996.

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4

Rapid reference review in orthopedic trauma: Pivotal papers revealed. Thorofare, NJ: SLACK Inc., 2013.

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5

A critique of design-arguments: A historical review and free examination of the methods of reasoning in natural theology. New York: Charles Scribner, 1985.

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6

B, Matchar David, United States. Agency for Healthcare Research and Quality., and Duke University Evidence-based Practice Center., eds. Developing a methodology for establishing a statement of work for a policy-relevant technical analysis. Rockville, MD: U.S. Dept. of Health and Human Services, Public Health Service, Agency for Healthcare Research and Quality, 2006.

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7

Boorman, D. B. A review of design flood estimation using the FSR rainfull-runoff method. Wallingford: Institute of Hydrology, 1990.

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8

A handbook of process tracing methods for decision research: A critical review and user's guide. New York: Psychology Press, 2011.

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9

Knoll, Franz, and Thomas Vogel. Design for Robustness. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2009. http://dx.doi.org/10.2749/sed011.

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<p>Robustness is the ability to survive unforeseen circum-stances without undue damage or loss of function. It has become a requirement expressed in modern building codes, mostly without much advice as to how it can be achieved. Engineering has developed some approaches based on tra-ditional practice as well as recent insight. However, know-ledge about robustness remains scattered and ambiguous, making it difficult to apply to many specific cases.<p> The authors' attempt to collect and review elements, methods and strategies toward structural robustness, using a holistic, almost philosophical approach. This leads to a set of consid-erations to guide selection and implementation of measures in specific cases, followed by a collection of applications and examples from the authors practice.<p>The world, engineering and construction are imperfect and not entirely predictable. Robustness provides a measure of structural safety beyond traditional codified design rules.

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10

Design methods. 2nd ed. New York: Van Nostrand Reinhold, 1992.

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11

Oliver, Schürer, and Kuhlmann Dörte, eds. Design methods. Basel: Birkhäuser, 2008.

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12

Board, Engineering Industry Training, ed. Design methods & creative design. [London]: EITB, 1987.

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13

Stevanovic, Sanja. Overhang Design Methods. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3012-6.

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14

Nigel, Cross. Engineering design methods. Chichester [England]: Wiley, 1989.

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15

Institute for Computer Applications in Science and Engineering., ed. Review of Godunov methods. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1996.

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16

Scheer, Brenda Case, and Wolfgang F. E. Preiser, eds. Design Review. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2658-2.

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17

Hinshaw, Mark L. Design review. Chicago, IL: American Planning Association, Planning Advisory Service, 1995.

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18

Review of Sewer Design Criteria and Rdii Prediction Methods. Lulu Press, Inc., 2016.

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19

Fu, Wai-Tat, Mingkun Gao, and Hyo Jin Do. Computational Methods for Socio-Computer Interaction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0016.

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From the Arab Spring to presidential elections, various forms of online social media, forums, and networking platforms have been playing increasing significant roles in our societies. These emerging socio-computer interactions demand new methods of understanding how various design features of online tools may moderate the percolation of information and gradually shape social opinions, influence social choices, and moderate collective action. This chapter starts with a review of the literature on the different ways technologies impact social phenomena, with a special focus on theories that characterize how social processes are moderated by various design features of user interfaces. It then reviews different theory-based computational methods derived from these theories to study socio-computer interaction at various levels. Specific examples of computational techniques are reviewed to illustrate how they can be useful for influencing social processes for various purposes. The chapter ends with how future technologies should be designed to improve socio-computer interaction.

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20

Evaluation of roadway lighting systems designed by STV methods: A review of the design of roadway lighting by small target visibility (STV) methods. Lubbock, Tex: Texas Tech University, 1998.

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21

(Editor), Marion Leboyer, and Frank Bellivier (Editor), eds. Psychiatric Genetics: Methods and Reviews (Methods in Molecular Medicine). Humana Press, 2002.

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22

Ray, Sumantra (Shumone), Sue Fitzpatrick, Rajna Golubic, Susan Fisher, and Sarah Gibbings, eds. Navigating research methods: quantitative and clinical/epidemiological methods. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199608478.003.0003.

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This chapter focuses on various types of study design used in clinical and healthcare research with an emphasis on observational studies whilst randomised controlled trials are explained in Chapter 15. Within observational studies, the distinction between descriptive and analytical studies is made and different sources of error in epidemiological studies are reviewed. Main features, advantages and disadvantages of analytical observational studies are described for the following designs: ecological studies, cohort studies, case-control studies and cross-sectional studies. A brief overview of experimental studies is also given. Measures of disease occurrence (prevalence, cumulative incidence, incidence rate) as well as effect measures (1.difference measures, ie. attributable risk, and 2. ratio measures, i.e. relative risk, odds ratio, relative risk reduction, attributable fraction) are reviewed. The chapter also presents major characteristics of meta-analysis.

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23

Hicks, Lewis Ezra. Critique of Design-Arguments; a Historical Review and Free Examination of the Methods of Reasoning. Creative Media Partners, LLC, 2022.

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24

Psychiatric genetics: Methods and reviews. Totowa, N.J: Humana Press, 2003.

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25

Leboyer, Marion, and Frank Bellivier. Psychiatric Genetics: Methods and Reviews. Humana Press, 2013.

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26

Hyers, Lauri. Diary Methods. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190256692.001.0001.

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This book provides an overview of diary research history, design, data collection, data analysis, report writing, evaluation, and ethics. In use for about 100 years now in the social sciences, diary research methods are distinct in the qualitative canon for their mode of data collection. Diary research methods are as flexible as other qualitative methods and can be adapted to suit a variety of epistemological assumptions and research questions, types of diarists and data formats, and styles of analysis. Although diary research can seem daunting, many qualitative researchers have had great success in working with diaries as their primary data source. In this volume, the diary will first be explored historically, from its emergence as a popular cultural phenomenon to its eventual use by social science researchers. Attention will then turn to the use of archival and solicited diaries in qualitative research designs. Next, the basics of designing, analyzing, and writing qualitative diary studies will be reviewed. The volume concludes with a discussion of the strengths, weaknesses, and ethical considerations of qualitative diary research.

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27

(Compiler), Takashi Ichida, and Edward C. Voigt (Editor), eds. Product Design Review: A Method for Error-Free Product Development. Productivity Press, 1996.

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28

Ray, Sumantra (Shumone), Sue Fitzpatrick, Rajna Golubic, Susan Fisher, and Sarah Gibbings, eds. Clinical trial design. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199608478.003.0014.

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This chapter outlines the various study designs and their uses. The phases of drug development are described and the appropriate study design employed at each phase of development is identified Elimination of bias is critical to the study design and methods of eliminating bias are discussed, defining the population, randomisation and blinding. A summary of the elements to be considered when designing a study are presented including the types of control, placebo or active, and their uses, Non comparative and comparative designs are presented. In the comparative design both within and between patient designs are discussed including crossover, parallel, sequential, factorial and left right comparisons. Patient outcomes measures as well as efficacy measurement are required for new treatments. There is a brief review of pharmaeconomic study designs. Other types of study design, dose escalation and dose response studies are also discussed. As well as reducing bias in studies another critical element is the recording of the primary assessment methods. The choice of methods will affect other aspects of the study such as the statistical considerations. The methodology must be standardised and validated.

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29

Chrapowicki, K. A., and R. D. Boon. A Review of Methods for Design Against Implosion of Concrete Cylinders in Offshore Structures (Offshore Technology Report). Stationery Office Books, 1988.

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30

Hendrick, Clyde, and Margaret S. Clark. Research Methods in Personality and Social Psychology (The Review of Personality and Social Psychology). Sage Publications, Inc, 1990.

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31

Johnson, Joseph G., Michael Schulte-Mecklenbeck, and Anton Kuehberger. Handbook of Process Tracing Methods for Decision Research: A Critical Review and User's Guide. Taylor & Francis Group, 2011.

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32

Johnson, Joseph G., Michael Schulte-Mecklenbeck, and Anton Kuehberger. Handbook of Process Tracing Methods for Decision Research: A Critical Review and User's Guide. Taylor & Francis Group, 2011.

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33

Johnson, Joseph G., Michael Schulte-Mecklenbeck, and Anton Kuehberger. Handbook of Process Tracing Methods for Decision Research: A Critical Review and User's Guide. Taylor & Francis Group, 2011.

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34

Johnson, Joseph G., Michael Schulte-Mecklenbeck, and Anton Kuehberger. Handbook of Process Tracing Methods for Decision Research: A Critical Review and User's Guide. Taylor & Francis Group, 2011.

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35

Cho, Jeasik. Change, Challenges, and Mixed Methods. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199330010.003.0004.

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This chapter discusses three ongoing issues related to the evaluation of qualitative research. First, the chapter considers whether a set of evaluation criteria is either determinative or changeable. Due to the evolving nature of qualitative research, it is likely that the way in which qualitative research is evaluated can change—not all at once, but gradually. Second, qualitative research has been criticized by newly resurrected positivists whose definitions of scientific research and evaluation criteria are narrow. “Politics of evidence” and a recent big-tent evaluation strategy are examined. Last, this chapter analyzes how validity criteria of qualitative research are incorporated into the evaluation of mixed methods research. The elements of qualitative research seem to be fairly represented but are largely treated as trivial. A criterion, the fit of research questions to design, is identified as distinctive in the review guide of the Journal of Mixed Methods Research.

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36

Lapierre, Laurent M., and Alicia D. McMullan. A Review of Methodological and Measurement Approaches to the Study of Work and Family. Edited by Tammy D. Allen and Lillian T. Eby. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199337538.013.4.

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This chapter provides a review of research methods reported in work–family (WF) articles published in peer-reviewed journals between 2004 and 2013. Methodological issues addressed include sampling (sampling methods, identification of target and source populations, response rate, and comparison of sample to source population), research designs (time horizon, laboratory vs. field setting, and level of control), data collection methods, levels of analysis, use of multiple data sources, triangulation, and the use of objective outcome measures. When possible, statistical comparisons were made between the results of this review and those reported in an earlier review by Casper, Eby, Bordeaux, Lockwood, and Lambert (2007). Results show that multiwave as well as qualitative research designs have been used more frequently since the period reviewed by Casper and colleagues. Still, there is room for improvement in the methodological rigor with which WF research is undertaken. In particular, WF scholars are encouraged to give more attention to sampling-related considerations, and to more strongly consider the use of experimental research designs, data/measurement triangulation, and the collection of data beyond the individual level of analysis.

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37

Hydrology, Institute of, D. B. Boorman, M. C. Acreman, and J. C. Packman. A Review of Design Flood Estimation Using the Flood Studies Report Rainfall Runoff Method. Centre for Ecology & Hydrology, 1990.

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38

Belia, Evangelia, Lorenzo Benedetti, Bruce Johnson, Sudhir Murthy, Marc Neumann, Peter Vanrolleghem, and Stefan Weijers, eds. Uncertainty in Wastewater Treatment Design and Operation. IWA Publishing, 2021. http://dx.doi.org/10.2166/9781780401034.

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Uncertainty in Wastewater Treatment Design and Operation aims to facilitate the transition of the wastewater profession to the probabilistic use of simulators with the associated benefits of being better able to take advantage of opportunities and manage risk. There is a paradigm shift taking place in the design and operation of treatment plants in the water industry. The market is currently in transition to use modelling and simulation while still using conventional heuristic guidelines (safety factors). Key reasons for transition include: wastewater treatment simulation software advancements; stricter effluent requirements that cannot be designed for using traditional approaches, and increased pressure for more efficient designs (including energy efficiency, greenhouse gas emission control). There is increasing consensus among wastewater professionals that the performance of plants and the predictive power of their models (degree of uncertainty) is a critical component of plant design and operation. However, models and simulators used by designers and operators do not incorporate methods for the evaluation of uncertainty associated with each design. Thus, engineers often combine safety factors with simulation results in an arbitrary way based on designer ‘experience’. Furthermore, there is not an accepted methodology (outside modelling) that translates uncertainty to assumed opportunity or risk and how it is distributed among consultants/contractors and owners. Uncertainty in Wastewater Treatment Design and Operation documents how uncertainty, opportunity and risk are currently handled in the wastewater treatment practice by consultants, utilities and regulators. The book provides a useful set of terms and definitions relating to uncertainty and promotes an understanding of the issues and terms involved. It identifies the sources of uncertainty in different project phases and presents a critical review of the available methods. Real-world examples are selected to illustrate where and when sources of uncertainty are introduced and how models are implemented and used in design projects and in operational optimisation. Uncertainty in Wastewater Treatment Design and Operation defines the developments required to provide improved procedures and tools to implement uncertainty and risk evaluations in projects. It is a vital reference for utilities, regulators, consultants, and trained management dealing with certainty, opportunity and risk in wastewater treatment. ISBN: 9781780401027 (Paperback) ISBN: 9781780401034 (eBook) ISBN: 9781789062601 (ePub)

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39

Systematic Approaches to a Successful Literature Review. SAGE Publications, Limited, 2016.

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40

Systematic Approaches to a Successful Literature Review. SAGE Publications, Limited, 2016.

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41

Booth, Andrew, Anthea Sutton, Mark Clowes, and Marrissa Martyn-St James. Systematic Approaches to a Successful Literature Review. SAGE Publications, Limited, 2021.

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42

Systematic Approaches to a Successful Literature Review. SAGE Publications Ltd, 2012.

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43

Systematic Approaches to a Successful Literature Review. SAGE Publications, Limited, 2021.

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44

Doing a Literature Review in Nursing, Health and Social Care. SAGE Publications, Limited, 2013.

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45

Szende, Agota, Mark Oppe, and Nancy Devlin. EQ-5D Value Sets: Inventory, Comparative Review and User Guide. Springer, 2008.

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46

Doing a Literature Review in Nursing, Health and Social Care. SAGE Publications, Limited, 2016.

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47

Cronin, Patricia, and Michael Coughlan. Doing a Literature Review in Nursing, Health and Social Care. SAGE Publications, Limited, 2020.

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48

Doing a Literature Review in Nursing, Health and Social Care. SAGE Publications, Limited, 2013.

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49

Cronin, Patricia, and Michael Coughlan. Doing a Literature Review in Nursing, Health and Social Care. SAGE Publications, Limited, 2016.

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50

Cronin, Patricia, and Michael Coughlan. Doing a Literature Review in Nursing, Health and Social Care. SAGE Publications, Limited, 2020.

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