IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v69y2013i4p925-936.html
   My bibliography  Save this article

Bayesian Analysis of Time-Series Data under Case-Crossover Designs: Posterior Equivalence and Inference

Author

Listed:
  • Shi Li
  • Bhramar Mukherjee
  • Stuart Batterman
  • Malay Ghosh

Abstract

No abstract is available for this item.

Suggested Citation

  • Shi Li & Bhramar Mukherjee & Stuart Batterman & Malay Ghosh, 2013. "Bayesian Analysis of Time-Series Data under Case-Crossover Designs: Posterior Equivalence and Inference," Biometrics, The International Biometric Society, vol. 69(4), pages 925-936, December.
    • Handle: RePEc:bla:biomet:v:69:y:2013:i:4:p:925-936
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/biom.12102
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ana-Maria Staicu, 2010. "On the equivalence of prospective and retrospective likelihood methods in case-control studies," Biometrika, Biometrika Trust, vol. 97(4), pages 990-996.
    2. Malay Ghosh & Li Zahng & Bhramar Mukherjee, 2006. "Equivalence of posteriors in the Bayesian analysis of the multinomial-Poisson transformation," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 19-28.
    3. Rice, Kenneth, 2008. "Equivalence Between Conditional and Random-Effects Likelihoods for Pair-Matched Case-Control Studies," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 385-396, March.
    4. Samiran Sinha & Bhramar Mukherjee & Malay Ghosh, 2004. "Bayesian Semiparametric Modeling for Matched Case–Control Studies with Multiple Disease States," Biometrics, The International Biometric Society, vol. 60(1), pages 41-49, March.
    5. Shaun R. Seaman, 2004. "Equivalence of prospective and retrospective models in the Bayesian analysis of case-control studies," Biometrika, Biometrika Trust, vol. 91(1), pages 15-25, March.
    6. L. J. Welty & R. D. Peng & S. L. Zeger & F. Dominici, 2009. "Bayesian Distributed Lag Models: Estimating Effects of Particulate Matter Air Pollution on Daily Mortality," Biometrics, The International Biometric Society, vol. 65(1), pages 282-291, March.
    7. Francesca Dominici & Jonathan M. Samet & Scott L. Zeger, 2000. "Combining evidence on air pollution and daily mortality from the 20 largest US cities: a hierarchical modelling strategy," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 163(3), pages 263-302.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Burr, Wesley S. & Shin, Hwashin H. & Takahara, Glen, 2019. "Synthetically lagged models," Statistics & Probability Letters, Elsevier, vol. 144(C), pages 37-43.
    2. Dhiman Bhadra & Michael J. Daniels & Sungduk Kim & Malay Ghosh & Bhramar Mukherjee, 2012. "A Bayesian Semiparametric Approach for Incorporating Longitudinal Information on Exposure History for Inference in Case–Control Studies," Biometrics, The International Biometric Society, vol. 68(2), pages 361-370, June.
    3. Yi Liu & Gavin Shaddick & James V. Zidek, 2017. "Incorporating High-Dimensional Exposure Modelling into Studies of Air Pollution and Health," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 9(2), pages 559-581, December.
    4. Zheng Wei & Daeyoung Kim & Erin M. Conlon, 2022. "A Bayesian approach to the analysis of asymmetric association for two-way contingency tables," Computational Statistics, Springer, vol. 37(3), pages 1311-1338, July.
    5. Koop, Gary & Tole, Lise, 2004. "Measuring the health effects of air pollution: to what extent can we really say that people are dying from bad air?," Journal of Environmental Economics and Management, Elsevier, vol. 47(1), pages 30-54, January.
    6. Bhramar Mukherjee & Jaeil Ahn & Stephen B. Gruber & Malay Ghosh & Nilanjan Chatterjee, 2010. "Case–Control Studies of Gene–Environment Interaction: Bayesian Design and Analysis," Biometrics, The International Biometric Society, vol. 66(3), pages 934-948, September.
    7. Theophilus I. Emeto & Oyelola A. Adegboye & Reza A. Rumi & Mahboob-Ul I. Khan & Majeed Adegboye & Wasif A. Khan & Mahmudur Rahman & Peter K. Streatfield & Kazi M. Rahman, 2020. "Disparities in Risks of Malaria Associated with Climatic Variability among Women, Children and Elderly in the Chittagong Hill Tracts of Bangladesh," IJERPH, MDPI, vol. 17(24), pages 1-15, December.
    8. Vera Ling Hui Phung & Kayo Ueda & Shunji Kasaoka & Xerxes Seposo & Saira Tasmin & Shinichi Yonemochi & Arthit Phosri & Akiko Honda & Hirohisa Takano & Takehiro Michikawa & Hiroshi Nitta, 2018. "Acute Effects of Ambient PM 2.5 on All-Cause and Cause-Specific Emergency Ambulance Dispatches in Japan," IJERPH, MDPI, vol. 15(2), pages 1-12, February.
    9. Wong, Heung & Shao, Quanxi & Ip, Wai-cheung, 2013. "Modeling respiratory illnesses with change point: A lesson from the SARS epidemic in Hong Kong," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 589-599.
    10. Joshua Graff Zivin & Matthew Neidell, 2013. "Environment, Health, and Human Capital," Journal of Economic Literature, American Economic Association, vol. 51(3), pages 689-730, September.
    11. Chi Wang & Giovanni Parmigiani & Francesca Dominici, 2012. "Bayesian Effect Estimation Accounting for Adjustment Uncertainty," Biometrics, The International Biometric Society, vol. 68(3), pages 661-671, September.
    12. repec:jss:jstsof:26:i07 is not listed on IDEAS
    13. Mukherjee, Bhramar & Liu, Ivy, 2009. "A note on bias due to fitting prospective multivariate generalized linear models to categorical outcomes ignoring retrospective sampling schemes," Journal of Multivariate Analysis, Elsevier, vol. 100(3), pages 459-472, March.
    14. Duncan Lee & Claire Ferguson & E. Marian Scott, 2011. "Constructing representative air quality indicators with measures of uncertainty," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(1), pages 109-126, January.
    15. Xavier Pautrel, 2007. "Environmental Policy, Health and Long-Run," Energy and Environmental Modeling 2007 24000048, EcoMod.
    16. Roger D. Peng & Francesca Dominici & Thomas A. Louis, 2006. "Model choice in time series studies of air pollution and mortality," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(2), pages 179-203, March.
    17. Enrico Moretti & Matthew Neidell, 2011. "Pollution, Health, and Avoidance Behavior: Evidence from the Ports of Los Angeles," Journal of Human Resources, University of Wisconsin Press, vol. 46(1), pages 154-175.
    18. Hwashin Hyun Shin & Dave Stieb & Rick Burnett & Glen Takahara & Barry Jessiman, 2012. "Tracking National and Regional Spatial‐Temporal Mortality Risk Associated with NO2 Concentrations in Canada: A Bayesian Hierarchical Two‐Level Model," Risk Analysis, John Wiley & Sons, vol. 32(3), pages 513-530, March.
    19. Chen, Yin-Hsiu & Mukherjee, Bhramar, 2017. "A new variance component score test for testing distributed lag functions with applications in time series analysis," Statistics & Probability Letters, Elsevier, vol. 123(C), pages 122-127.
    20. Cutter, W. Bowman & Neidell, Matthew, 2009. "Voluntary information programs and environmental regulation: Evidence from 'Spare the Air'," Journal of Environmental Economics and Management, Elsevier, vol. 58(3), pages 253-265, November.
    21. Laura F. Boehm Vock & Brian J. Reich & Montserrat Fuentes & Francesca Dominici, 2015. "Spatial variable selection methods for investigating acute health effects of fine particulate matter components," Biometrics, The International Biometric Society, vol. 71(1), pages 167-177, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:biomet:v:69:y:2013:i:4:p:925-936. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.