Abstract
Acting effectively in an uncertain world requires two main skills: predicting the probable consequences of alternative courses of action and choosing actions that make preferred consequences more likely. Risk analysis supports and applies both skills. It provides a framework to enable its practitioners to assess the probable consequences of alternative choices (including the status quo), to communicate technical findings and remaining uncertainties effectively to different audiences, and to use the results to advise risk managers and policy makers about what to do next. These three core components of risk assessment, risk communication, and risk management are making risk analysis invaluable in widely diverse applications. Prominent application areas include project risk management, enterprise risk management, nuclear and aviation safety, community-based disaster preparation and planning, health effects research, drug development, product safety assessment, ecotoxicology, regulatory program evaluation, public health, and other areas of applied risk research and management.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aalen OO (2012) Armitage lecture 2010: understanding treatment effects: the value of integrating longitudinal data and survival analysis. Stat Med 31(18):1903–1917
Aeron-Thomas AS, Hess S (2005) Red-light cameras for the prevention of road traffic crashes. Cochrane Database Syst Rev 18(2):CD003862
Albert I, Grenier E, Denis JB, Rousseau J (2008) Quantitative risk assessment from farm to fork and beyond: a global Bayesian approach concerning food-borne diseases. Risk Anal 28(2):557–571
Alexander DD, Wagner ME (2010) Benzene exposure and non-Hodgkin lymphoma: a Âmeta-analysis of epidemiologic studies. J Occup Environ Med 52(2):169–189
Angrist JD, Pischke J-S (2009) Mostly harmless econometrics: An empiricist’s companion. Princeton University Press, Princeton
Arena C, Mazzola MR, Scordo G (2010) A simulation/optimization model for selecting infrastructure alternatives in complex water resource systems. Water Sci Technol 61(12):3050–3060
Austin PC (2012) Using ensemble-based methods for directly estimating causal effects: an investigation of tree-based G-computation. Multivariate Behav Res 47(1):115–135
Baio G, Pammolli F, Baldo V, Trivello R (2006) Object-oriented influence diagram for cost-effectiveness analysis of influenza vaccination in the Italian elderly population. Expert Rev Pharmacoecon Outcomes Res 6(3):293–301
Barrett AB, Barnett L, Seth AK (2010) Multivariate Granger causality and generalized variance. Phys Rev E Stat Nonlin Soft Matter Phys 81(4 Pt 1):041907
Bartholomew MJ, Vose DJ, Tollefson LR, Travis CC (2005) A linear model for managing the risk of antimicrobial resistance originating in food animals. Risk Anal 25(1):99–108
Bekaert M, Timsit JF, Vansteelandt S, Depuydt P, Vésin A, Garrouste-Orgeas M, Decruyenaere J, Clec’h C, Azoulay E, Benoit D, Outcomerea Study Group (2011) Attributable mortality of ventilator-associated pneumonia: a reappraisal using causal analysis. Am J Respir Crit Care Med 184(10):1133–1139
Berry WD (1984) Nonrecursive causal models. Sage, Beverly Hills
Bilancia M, Vitale D (2012) Anthropogenic CO2 emissions and global warming: evidence from Granger causality analysis. In: Di Agostino C, Mauro C, Jose Miguel AI (eds) Advanced statistical methods for the analysis of large data-sets. Springer, New York
Blastland M, Dilnot A (2009) The numbers game: the commonsense guide to understanding numbers in the news, in politics, and in life. Gotham Books, New York
Brunekreef B, Beelen R, Hoek G, Schouten L, Bausch-Goldbohm S, Fischer P, Armstrong B, Hughes E, Jerrett M, van den Brandt P (2009) Effects of long-term exposure to traffic-related air pollution on respiratory and cardiovascular mortality in the Netherlands: the NLCS-AIR study. Res Rep Health Eff Inst 139:5–71, discussion 73–89
Buka I, Koranteng S, Osornio-Vargas AR (2006) The effects of air pollution on the health of children. Paediatr Child Health 11(8):513–516
Buncher CR, Succop PA, Dietrich KN (1991) Structural equation modeling in environmental risk assessment. Environ Health Perspect 90:209–213
Burnside ES, Davis J, Chhatwal J, Alagoz O, Lindstrom MJ, Geller BM, Littenberg B, Shaffer KA, Kahn CE Jr, Page CD (2009) Probabilistic computer model developed from clinical data in national mammography database format to classify mammographic findings. Radiology 251(3):663–672
Campbell DT, Stanley JC (1966) Experimental and quasi-experimental designs for research. Rand McNally, Chicago
Carriger JF, Barron MG (2011) Minimizing risks from spilled oil to ecosystem services using influence diagrams: the deepwater horizon spill response. Environ Sci Technol 45(18):7631–7639
Carriger JF, Newman MC (2012) Influence diagrams as decision-making tools for pesticide risk management. Integr Environ Assess Manag 8(2):339–350
Cheng J, Druzdzel MJ (2000) AIS-BN: an adaptive importance sampling algorithm for evidential reasoning in large Bayesian networks. J Artif Intell Res 13:155–188
Chin K-S, Tang D-W, Yang J-B, Wong SY, Wang H (2009) Assessing new product development project risk by Bayesian network with a systematic probability generation methodology. Expert Syst Appl Int J 36(6):9879–9890
Chuang KJ, Chan CC, Su TC, Lee CT, Tang CS (2007) The effect of urban air pollution on inflammation, oxidative stress, coagulation, and autonomic dysfunction in young adults. Am J Respir Crit Care Med 176(4):370–376
Clancy L, Goodman P, Sinclair H, Dockery DW (2002) Effect of air-pollution control on death rates in Dublin, Ireland: an intervention study. Lancet 360(9341):1210–1214
Cockburn G, Tesfamariam S (2012) Earthquake disaster risk index for Canadian cities using Bayesian belief networks. Georisk Assess Manag Risk Eng Syst Geohazards 6(2):128–140
Corsaro N, Brunson RK, McGarrell EF (2010) Evaluating a policing strategy intended to disrupt an illicit street-level drug market. Eval Rev 34(6):513–548
Cox LA Jr (2005) Some limitations of a proposed linear model for antimicrobial risk management. Risk Anal 25(6):1327–1332
Cox LA Jr (2007) Regulatory false positives: true, false, or uncertain? Risk Anal 27(5):1083–1086
Cox LA Jr (2012a) Hormesis for fine particulate matter (PM2.5). Dose–Response 10(2):209–218
Cox LA Jr (2012b) Miscommunicating risk, uncertainty, and causation: fine particulate air pollution and mortality risk as an example. Risk Anal 32(5):765–767
Cox LA Jr, Popken DA, Ricci PF (2013) Temperature, not fine particulate matter (PM2.5), is causally associated with short-term acute daily mortality rates: Results from one hundred United States cities. Dose–Response
Daly R, Shen Q, Aitken S (2011) Learning Bayesian networks: approaches and issues. Knowl Eng Rev 26(2):99–157
Das S, Lawless D, Ng B, Pfeffer A (2005) Factored particle filtering for data fusion and situation assessment in urban environments. In: Proceedings of 8th international conference on information fusion, IEEE Press, Piscataway, NJ, pp 955–962
Dash D, Druzdzel MJ (2008) A note on the correctness of the causal ordering algorithm. Artif Intell 172:1800–1808, http://www.pitt.edu/∼druzdzel/psfiles/aij08.pdf
David LA, Wiggins CH (2007) Benchmarking of dynamic Bayesian networks inferred from stochastic time-series data. Ann N Y Acad Sci 1115:90–101
Detto M, Molini A, Katul G, Stoy P, Palmroth S, Baldocchi D (2012) Causality and persistence in ecological systems: a nonparametric spectral Granger causality approach. Am Nat 179(4):524–535, Epub 2012 Feb 20
Druzdzel MJ, Simon HA (1993) Causality in Bayesian belief networks. In: Proceedings of the ninth annual conference on uncertainty in artificial intelligence (UAI-93), Morgan Kaufmann, San Francisco, pp 3–11
Duintjer Tebbens RJ, Pallansch MA, Kew OM, Sutter RW, Aylward B, Watkins M, Gary H, Alexander J, Jafari H, Cochi SL, Thompson KM (2008) Uncertainty and sensitivity analyses of a decision analytic model for posteradication polio risk management. Risk Anal 28(4):855–876
Eichler M, Didelez V (2010) On Granger causality and the effect of interventions in time series. Lifetime Data Anal 16(1):3–32, Epub 2009 Nov 26
Eide GE (2008) Attributable fractions for partitioning risk and evaluating disease prevention: a practical guide. Clin Respir J 2(Suppl 1):92–103
Ellingson K, Muder RR, Jain R, Kleinbaum D, Feng PJ, Cunningham C, Squier C, Lloyd J, Edwards J, Gebski V, Jernigan J (2011) Sustained reduction in the clinical incidence of methicillin-resistant Staphylococcus aureus colonization or infection associated with a multifaceted infection control intervention. Infect Control Hosp Epidemiol 32(1):1–8
EPA (U.S. Environmental Protection Agency) (2011) The benefits and costs of the clean air act from 1990 to 2020 (Final Report). Rev. A. Office of Air and Radiation, Washington, DC
Erke A (2009) Red light for red-light cameras? A meta-analysis of the effects of red-light cameras on crashes. Accid Anal Prev 41(5):897–905
Ezell BC, Bennett SP, von Winterfeldt D, Sokolowski J, Collins AJ (2010) Probabilistic risk analysis and terrorism risk. Risk Anal 30(4):575–589
Ezzati M, Hoorn SV, Lopez AD, Danaei G, Rodgers A, Mathers CD, Murray CJL (2006) Comparative quantification of mortality and burden of disease attributable to selected risk factors. In: Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJL (eds) Global burden of disease and risk factors. World Bank, Washington, DC, Chap. 4
Fann N, Lamson AD, Anenberg SC, Wesson K, Risley D, Hubbel BJ (2012) Estimating the national public health burden associated with exposure to ambient PM2.5 and ozone. Risk Anal 32(1):81–95
Fenton NE, Neil M, Marquez D (2008) Using Bayesian networks to predict software defects and reliability. Proc Inst Mech Eng Part O J Risk Reliab 222(4):701–712
Freedman DA (2004) Graphical models for causation, and the identification problem. Eval Rev 28(4):267–293
Friede T, Henderson R, Kao CF (2006) A note on testing for intervention effects on binary responses. Methods Inf Med 45(4):435–440
Friedman N, Goldszmidt M (1998) Learning Bayesian networks with local structure. In: Jordan MI (ed) Learning in graphical models. MIT Press, Cambridge, MA, pp 421–459
Friedman MS, Powell KE, Hutwagner L, Graham LM, Teague WG (2001) Impact of changes in transportation and commuting behaviors during the 1996 summer Olympic games in Atlanta on air quality and childhood asthma. JAMA 285(7):897–905
Fu M (2002) Optimization for simulation: theory vs. practice. INFORMS J Comput 14(3):192–215
Fugelsang JA, Stein CB, Green AE, Dunbar KN (2004) Theory and data interactions of the scientific mind: evidence from the molecular and the cognitive laboratory. Can J Exp Psychol 58(2):86–95
Gal Y, Pfeffer A (2008) Networks of influence diagrams: a formalism for representing agents’ beliefs and decision-making processes. J Artif Intell Res 33:109–147
Gardner D (2009) The science of fear: how the culture of fear manipulates your brain. Penguin Group, New York
Gasparrini A, Gorini G, Barchielli A (2009) On the relationship between smoking bans and incidence of acute myocardial infarction. Eur J Epidemiol 24(10):597–602
Gilmour S, Degenhardt L, Hall W, Day C (2006) Using intervention time series analyses to assess the effects of imperfectly identifiable natural events: a general method and example. BMC Med Res Methodol 6:16
Greenland S, Brumback B (2002) An overview of relations among causal modelling methods. Int J Epidemiol 31(5):1030–1037
Gret-Regamey A, Straub D (2006) Spatially explicit avalanche risk assessment linking Bayesian networks to a GIS. Nat Hazards Earth Syst Sci 6:911–926
Guo H, Hsu W (2002) A survey of algorithms for real-time Bayesian network inference. From: AAAI Technical Report WS-02-15, AAAI (www.aaai.org)
Hack CE, Haber LT, Maier A, Shulte P, Fowler B, Lotz WG, Savage RE Jr (2010) A Bayesian network model for biomarker-based dose response. Risk Anal 30(7):1037–1051
Harvard School of Public Health (2002) Press release: Ban on coal burning in dublin cleans the air and reduces death rates. www.hsph.harvard.edu/news/press-releases/archives/2002-releases/press10172002.html
He L, Huang GH, Lu HW (2009) A coupled simulation-optimization approach for groundwater remediation design under uncertainty: an application to a petroleum-contaminated site. Environ Pollut 157(8–9)):2485–2492
Health Effects Institute (HEI) (2010) Impact of improved air quality during the 1996 summer olympic games in Atlanta on multiple cardiovascular and respiratory outcomes. HEI research report #148. Peel JL, Klein M, Flanders WD, Mulholland JA, Tolbert PE, Health Effects Institute, Boston. http://pubs.healtheffects.org/getfile.php?u=564
Helfenstein U (1991) The use of transfer function models, intervention analysis and related time series methods in epidemiology. Int J Epidemiol 20(3):808–815
Helfenstein U, Ackermann-Liebrich U, Braun-Fahrländer C, Wanner HU (1991) The environmental accident at ‘Schweizerhalle’ and respiratory diseases in children: a time series analysis. Stat Med 10(10):1481–1492
Höfler M (2005) Causal inference based on counterfactuals. BMC Med Res Methodol 5:28
Howard RA, Matheson JE (2005) Influence diagrams. Decis Anal 2(3):127–143
Imberger G, Vejlby AD, Hansen SB, Møller AM, Wetterslev J (2011) Statistical multiplicity in systematic reviews of anaesthesia interventions: a quantification and comparison between Cochrane and non-Cochrane reviews. PLoS One 6(12):e28422. doi:10.1371/journal.pone.0028422
Inoue LY, Etzioni R, Slate EH, Morrell C, Penson DF (2004) Combining longitudinal studies of PSA. Biostatistics 5(3):483–500
Ioannidis JPA (2005) Why most published research findings are false. PLoS Med 2(8):e124. doi:10.1371/journal.pmed.0020124
Janke K, Propper C, Henderson J (2009) Do current levels of air pollution kill? The impact of air pollution on population mortality in England. Health Econ 18(9):1031–1055
Jayasurya K, Fung G, Yu S, Dehing-Oberije C, De Ruysscher D, Hope A, De Neve W, Lievens Y, Lambin P, Dekker AL (2010) Comparison of Bayesian network and support vector machine models for two-year survival prediction in lung cancer patients treated with radiotherapy. Med Phys 37(4):1401–1407
Kabat G (2004) Effect of public smoking ban in Helena, Montana: when results look too good to be true, they probably are. BMJ (Br Med J) 328(7452):1379
Kane EV, Newton R (2010) Benzene and the risk of non-Hodgkin lymphoma: a review and meta-analysis of the literature. Cancer Epidemiol 34(1):7–12
Kaufman JD (2007) Air pollution and mortality: are we closer to understanding the how? Am J Respir Crit Care Med 176(4):325–326
Kelly F, Armstrong B, Atkinson R, Anderson HR, Barratt B, Beevers S, Cook D, Green D, Derwent D, Mudway I, Wilkinson P, HEI Health Review Committee (2011) The London low emission zone baseline study. Res Rep Health Eff Inst 163:3–79
Kleinberg S, Hripcsak G (2011) A review of causal inference for biomedical informatics. J Biomed Inform 44(6):1102–1112
Koller D, Milch B (2001) Multi-agent influence diagrams for representing and solving games. In: Proceedings of 17th international joint conference on artificial intelligence (IJCAI), Seattle, WA
Krstić G (2011) Apparent temperature and air pollution vs. elderly population mortality in Metro Vancouver. PLoS One 6(9):e25101
Lagorio S, Forastiere F, Pistelli R, Iavarone I, Michelozzi P, Fano V, Marconi A, Ziemacki G, Ostro BD (2006) Air pollution and lung function among susceptible adult subjects: a panel study. Environ Health 5:11
Lamm SH, Hall TA, Engel E, White LD, Ructer FH (1994) PM 10 particulates: are they the major determinant in pediatric respiratory admissions in Utah county, Utah (1985–1989)? Ann Occup Hyg 38:969–972
Lavigne E, Villeneuve PJ, Cakmak S (2012) Air pollution and emergency department visits for asthma in Windsor, Canada. Can J Public Health 103(1):4–8
Lee WC (2012) Completion potentials of sufficient component causes. Epidemiology 23(3):446–453
Lee EK, Chen CH, Pietz F, Benecke B (2010) Disease propagation analysis and mitigation strategies for effective mass dispensing. AMIA Annu Symp Proc 2010:427–431
Lehrer J (2012) Trials and errors: why science is failing us. Wired. http://www.wired.co.uk/magazine/archive/2012/02/features/trials-and-errors?page=all
Lepeule J, Laden F, Dockery D, Schwartz J (2012) Chronic exposure to fine particles and mortality: an extended follow-up of the Harvard six cities study from 1974 to 2009. Environ Health Perspect 120(7):965–970
Li L, Wang J, Leung H, Jiang C (2010) Assessment of catastrophic risk using Bayesian network constructed from domain knowledge and spatial data. Risk Anal 30(7):1157–1175
Li S, Batterman S, Wasilevich E, Wahl R, Wirth J, Su FC, Mukherjee B (2011) Association of daily asthma emergency department visits and hospital admissions with ambient air pollutants among the pediatric Medicaid population in Detroit: time-series and time-stratified case-crossover analyses with threshold effects. Environ Res 111(8):1137–1147
Li L, Wang J, Leung H, Zhao S (2012) A Bayesian method to mine spatial data sets to evaluate the vulnerability of human beings to catastrophic risk. Risk Anal 32(6):1072–1092
Liu RF, Soetjipto R (2004) Analysis of three Bayesian network inference algorithms: variable elimination, likelihood weighting, and Gibbs sampling. J Artif Intell Res
Liu F, Tian F, Zhu Q (2007) Bayesian network structure ensemble learning. In: Advanced data mining and applications: lecture notes in computer science, vol 4632/2007, Berlin, pp 454–465. http://www.springerlink.com/content/043843r87730nn67/
Lockamy A III (2011) Benchmarking supplier risks using Bayesian networks. Benchmarking Int J 18(3):409–427
Lu T-C, Druzdzel MJ, Leong T-Y (2000) Causal mechanism-based model construction. In: Proceedings of the sixteenth annual conference on uncertainty in artificial intelligence (UAI-00), Morgan Kaufmann, San Francisco, pp 353–362
Lu Y, Symons JM, Geyh AS, Zeger SL (2008) An approach to checking case-crossover analyses based on equivalence with time-series methods. Epidemiology 19(2):169–175
Lund AK, Kyrychenko SY, Retting RA (2009) Caution: a comment on Alena Erke’s red light for red-light cameras? A meta-analysis of the effects of red-light cameras on crashes. Accid Anal Prev 41(4):895–896
Lynch WD, Glass GV, Tran ZV (1988) Diet, tobacco, alcohol, and stress as causes of coronary artery heart disease: an ecological trend analysis of national data. Yale J Biol Med 61(5):413–426
Maclure M (1990) Multivariate refutation of aetiological hypotheses in non-experimental epidemiology. Int J Epidemiol 19(4):782–787
Mansfield C, Sinha P, Henrion M (2009) Influence analysis in support of characterizing uncertainty in human health benefits analysis. Final Report, prepared for Amy Lamson U.S. Environmental Protection Agency Office of Air Quality Planning and Standards (OAQPS) Air Benefit and Cost Group (ABCG). EPA Contract Number EP-D-06-003. Research Triangle Park
Mar TF, Larson TV, Stier RA, Claiborn C, Koenig JQ (2004) An analysis of the association between respiratory symptoms in subjects with asthma and daily air pollution in Spokane, Washington. Inhal Toxicol 16(13):809–815
Marsh W, Bearfield G (2004) Using Bayesian networks to model accident causation in the UK Railway Industry. In: Probabilistic safety assessment and management (PSAM7-ESREL’04): proceedings of the 7th international conference on probabilistic safety assessment and management, Berlin, 14–18 June 2004
McLay LA, Foufoulides C, Merrick JR (2010) Using simulation-optimization to construct screening strategies for cervical cancer. Health Care Manag Sci 13(4):294–318
Meek C, Thiesson B (2010) Probabilistic inference for CART network. Microsoft research technical report MSR-TR-2010-40. Redmond, Washington. http://research.microsoft.com/pubs/130854/CARTnetwork.pdf
Mercer JB (2003) Cold–an underrated risk factor for health. Environ Res 92(1):8–13
Moore KL, Neugebauer R, van der Laan MJ, Tager IB (2012) Causal inference in epidemiological studies with strong confounding. Stat Med. doi:10.1002/sim.4469
Moretti S, van Leeuwen D, Gmuender H, Bonassi S, van Delft J, Kleinjans J, Patrone F, Merlo DF (2008) Combining shapley value and statistics to the analysis of gene expression data in children exposed to air pollution. BMC Bioinformatics 9:361
Morgan MG, Henrion M (1990) Uncertainty: a guide to dealing with uncertainty in quantitative risk and policy analysis. Cambridge University Press, New York, reprinted in 1998
Nawrot TS, Perez L, Künzli N, Munters E, Nemery B (2011) Public health importance of triggers of myocardial infarction: a comparative risk assessment. Lancet 377(9767):732–740
Neapolitan RE (1991) The principle of interval constraints: a generalization of the symmetric Dirichlet distribution. Math Biosci 103(1):33–44
NHS (2012) Air pollution ‘kills 13,000 a year’ says study. www.nhs.uk/news/2012/04april/Pages/air-pollution-exhaust-death-estimates.aspx
Novoa AM, Pérez K, Santamariña-Rubio E, MarÃ-Dell’Olmo M, Ferrando J, Peiró R, TobÃas A, Zori P, Borrell C (2010) Impact of the penalty points system on road traffic injuries in Spain: a time-series study. Am J Public Health 100(11):2220–2227
Orru H, Teinemaa E, Lai T, Tamm T, Kaasik M, Kimmel V, Kangur K, Merisalu E, Forsberg B (2009) Health impact assessment of particulate pollution in Tallinn using fine spatial resolution and modeling techniques. Environ Health 8:7
Ottenbacher KJ (1998) Quantitative evaluation of multiplicity in epidemiology and public health research. Am J Epidemiol 147:615–619
Owens DK, Nease RF Jr (1993) Development of outcome-based practice guidelines: a method for structuring problems and synthesizing evidence. Jt Comm J Qual Improv 19(7):248–263
Owens DK, Shachter RD, Nease RF Jr (1997) Representation and analysis of medical decision problems with influence diagrams. Med Decis Making 17(3):241–262
Pavlenko T, Chernyak O (2010) Credit risk modeling using Bayesian networks. Int J Intell Syst 25(5):326–344
Pearl J (2010) An introduction to causal inference. Int J Biostat 6(2):7
Pelucchi C, Negri E, Gallus S, Boffetta P, Tramacere I, La Vecchia C (2009) Long-term particulate matter exposure and mortality: a review of European epidemiological studies. BMC Public Health 9:453
Pope CA 3rd (1989) Respiratory disease associated with community air pollution and a steel mill, Utah Valley. Am J Public Health 79(5):623–628
Pope, CA (2010). Accountability studies of air pollution and human health: where are we now, and where does the research need to go next? http://pubs.healtheffects.org/getfile.php?u=584
Powell H, Lee D, Bowman A (2012) Estimating constrained concentration–response functions between air pollution and health. Environmetrics 23(3):228–237
Proeschold-Bell RJ, Hoeppner B, Taylor B, Cohen S, Blouin R, Stringfield B, Muir AJ (2011) An interrupted time series evaluation of a hepatitis C intervention for persons with HIV. AIDS Behav 15(8):1721–1731
Qin R, Titler MG, Shever LL, Kim T (2008) Estimating effects of nursing intervention via propensity score analysis. Nurs Res 57(6):444–452
Qin XS, Huang GH, He L (2009) Simulation and optimization technologies for petroleum waste management and remediation process control. J Environ Manage 90(1):54–76
Rabe C, Gefeller O (2006) The attributable risk in a multifactorial situation–evaluation of different methods of partitioning. Methods Inf Med 45(4):404–408
Regnier-Coudert O, McCall J, Lothian R, Lam T, McClinton S, N’dow J (2012) Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers. Artif Intell Med 55(1):25–35
Ren J, Jenkinson I, Wang J, Xu DL, Yang JB (2008) A methodology to model causal relationships on offshore safety assessment focusing on human and organizational factors. J Safety Res 39(1):87–100
Roberts S (2004) Biologically plausible particulate air pollution mortality concentration-response functions. Environ Health Perspect 112(3):309–313
Robins JM, Hernán MA, Brumback B (2000) Marginal structural models and causal inference in epidemiology. Epidemiology 11(5):550–560
Sarewitz D (2012) Beware the creeping cracks of bias. Nature 485:149
Sargent RP, Shepard RM, Glantz SA (2004) Reduced incidence of admissions for myocardial infarction associated with public smoking ban: before and after. Br Med J 328:980–983
Sarkar R, Ajjampur SR, Ward HD, Kang G, Naumova EN (2012) Analysis of human immune responses in quasi-experimental settings: tutorial in biostatistics. BMC Med Res Methodol 12(1):1
Seghouane AK, Amari SI (2012) Identification of directed influence: Granger causality, Kullback–Leibler divergence, and complexity. Neural Comput 24(7):1722–1739
Shipley B (1997) Exploratory path analysis with applications in ecology and evolution. Am Nat 149(6):1113–1138
Smid JH, Heres L, Havelaar AH, Pielaat A (2012) A biotracing model of Salmonella in the pork production chain. J Food Prot 75(2):270–280
Stebbings JH Jr (1978) Panel studies of acute health effects of air pollution. II. A methodologic study of linear regression analysis of asthma panel data. Environ Res 17(1):10–32
Steinmaus C, Smith AH, Jones RM, Smith MT (2008) Meta-analysis of benzene exposure and non-Hodgkin lymphoma: biases could mask an important association. Occup Environ Med 65(6):371–378, Epub 2008 Apr 16
Stenlund T, Lidén E, Andersson K, Garvill J, Nordin S (2009) Annoyance and health symptoms and their influencing factors: a population-based air pollution intervention study. Public Health 123(4):339–345
Sunstein CR (2009) Going to extremes: how like minds unite and divide. Oxford University Press, New York
Suzuki E, Yamamoto E, Tsuda T (2012) On the relations between excess fraction, attributable fraction, and etiologic fraction. Am J Epidemiol 175(6):567–575
Swaen G, van Amelsvoort L (2009) A weight of evidence approach to causal inference. J Clin Epidemiol 62(3):270–277
Tay R (2001) Fatal crashes involving young male drivers: a continuous time Poisson change-point analysis. Aust N Z J Public Health 25(1):21–23
Tuomisto JT, Tuomisto J, Tainio M, Niittynen M, Verkasalo P, Vartiainen T, Kiviranta H, Pekkanen J (2004) Risk-benefit analysis of eating farmed salmon. Science 305(5683):476–477
Underwood DJ, Zhang J, Denton BT, Shah ND, Inman BA (2012) Simulation optimization of PSA-threshold based prostate cancer screening policies. Health Care Manag Sci
Upshur RE, Moineddin R, Crighton EJ, Mamdani M (2006) Interactions of viral pathogens on hospital admissions for pneumonia, croup and chronic obstructive pulmonary diseases: results of a multivariate time-series analysis. Epidemiol Infect 134(6):1174–1178, Epub 2006 Apr 20
van der Laan MJ (2010) Targeted maximum likelihood based causal inference: part I. Int J Biostat 6(2):2
Vansteelandt S, Keiding N (2011) Invited commentary: G-computation–lost in translation? Am J Epidemiol 173(7):739–742
Voortman M, Dash D, Druzdzel MJ (2010) Learning why things change: the difference based causality learner. In: Proceedings of the twenty-sixth annual conference on uncertainty in artificial intelligence (UAI), Catalina Island. http://www.pittsburgh.intel-research.net/∼dhdash//pubs/2010.voortman.uai.pdf
Weed DL (2010) Meta-analysis and causal inference: a case study of benzene and non-Hodgkin lymphoma. Ann Epidemiol 20(5):347–355
Weidl G, Iglesias-Rozas JR, Roehrl N (2007) Causal probabilistic modeling for malignancy grading in pathology with explanations of dependency to the related histological features. Histol Histopathol 22(9):947–962
WHO (World Health Organization) (2009) Global burden of disease study operations manual: Final Draft. www.globalburden.org/GBD_Study_Operations_Manual_Jan_20_2009.pdf, p 114
Wittmaack K (2007) The big ban on bituminous coal sales revisited: serious epidemics and pronounced trends feign excess mortality previously attributed to heavy black-smoke exposure. Inhal Toxicol 19(4):343–350
Woodruff TJ, Darrow LA, Parker JD (2008) Air pollution and postneonatal infant mortality in the United States, 1999–2002. Environ Health Perspect 116(1):110–115
Yim SH, Barrett SR (2012) Public health impacts of combustion emissions in the United Kingdom. Environ Sci Technol 46(8):4291–4296
Yong E (2012) Replication studies: bad copy. Nature 485:298–300
Zhang NL (1998) Probabilistic inference in influence diagrams. Comput Intell 14(4):475–497
Zhu J, Chen Y, Leonardson AS, Wang K, Lamb JR, Emilsson V, Schadt EE (2010) Characterizing dynamic changes in the human blood transcriptional network. PLoS Comput Biol 6(2):e1000671
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2012 Louis Anthony Cox, Jr
About this chapter
Cite this chapter
Cox, L.A. (2012). Causality for Risk Analysts: Improving Our Understanding of How the World Works. In: Improving Risk Analysis. International Series in Operations Research & Management Science, vol 185. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6058-9_1
Download citation
DOI: https://doi.org/10.1007/978-1-4614-6058-9_1
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-6057-2
Online ISBN: 978-1-4614-6058-9
eBook Packages: Business and EconomicsBusiness and Management (R0)