View Item 

Show simple item record

Self-reporting and screening: Data with right-censored, left-censored, and complete observations
dc.contributor.authorYefenof, Jonathan
dc.contributor.authorGoldberg, Yair
dc.contributor.authorWiler, Jennifer
dc.contributor.authorMandelbaum, Avishai
dc.contributor.authorRitov, Ya’acov
dc.date.accessioned2022-08-02T18:59:30Z
dc.date.available2023-09-02 14:59:28en
dc.date.available2022-08-02T18:59:30Z
dc.date.issued2022-08-15
dc.identifier.citationYefenof, Jonathan; Goldberg, Yair; Wiler, Jennifer; Mandelbaum, Avishai; Ritov, Ya’acov (2022). "Self-reporting and screening: Data with right-censored, left-censored, and complete observations." Statistics in Medicine 41(18): 3561-3578.
dc.identifier.issn0277-6715
dc.identifier.issn1097-0258
dc.identifier.urihttps://hdl.handle.net/2027.42/173151
dc.publisherWiley Periodicals, Inc.
dc.publisherSpringer
dc.subject.othersurvival analysis
dc.subject.otherleft censoring
dc.subject.othernonparametric estimation
dc.subject.otherright censoring
dc.subject.othercurrent status data
dc.titleSelf-reporting and screening: Data with right-censored, left-censored, and complete observations
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelPublic Health
dc.subject.hlbsecondlevelStatistics and Numeric Data
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbtoplevelSocial Sciences
dc.subject.hlbtoplevelScience
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/173151/1/sim9434.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/173151/2/sim9434_am.pdf
dc.identifier.doi10.1002/sim.9434
dc.identifier.sourceStatistics in Medicine
dc.identifier.citedreferenceBrown L, Gans N, Mandelbaum A, et al. Statistical analysis of a telephone call center: a queueing-science perspective. J Am Stat Assoc. 2005; 100 ( 469 ): 36 - 50.
dc.identifier.citedreferenceMinn AY, Pollock BH, Garzarella L, et al. Surveillance neuroimaging to detect relapse in childhood brain tumors: a pediatric oncology group study. J Clin Oncol. 2001; 19 ( 21 ): 4135 - 4140.
dc.identifier.citedreferenceWhitehead J. The analysis of relapse clinical trials, with application to a comparison of two ulcer treatments. Stat Med. 1989; 8 ( 12 ): 1439 - 1454.
dc.identifier.citedreferenceMandelbaum A, Zeltyn S. Service engineering in action: the Palm/Erlang-A queue, with applications to call centers. In: Spath D, Fahnrich KP, eds. Advances in Services Innovations. New York, NY: Springer; 2007: 17 - 45.
dc.identifier.citedreferencePeto R. Experimental survival curves for interval-censored data. J Royal Stat Soc Ser C (Appl Stat). 1973; 22 ( 1 ): 86 - 91.
dc.identifier.citedreferenceZhang Z, Sun J. Interval censoring. Stat Methods Med Res. 2010; 19 ( 1 ): 53 - 70.
dc.identifier.citedreferenceBaker DW, Stevens CD, Brook RH. Patients who leave a public hospital emergency department without being seen by a physician: causes consequences. JAMA. 1991; 266 ( 8 ): 1085 - 1090.
dc.identifier.citedreferenceHunt KA, Weber EJ, Showstack JA, Colby DC, Callaham ML. Characteristics of frequent users of emergency departments. Ann Emerg Med. 2006; 48 ( 1 ): 1 - 8.
dc.identifier.citedreferenceBolandifar E, DeHoratius N, Olsen T, Wiler JL. An empirical study of the behavior of patients who leave the emergency departement without being seen. Journal of Operations Management. 2019; 65 ( 5 ): 430 - 446.
dc.identifier.citedreferenceBatt RJ, Terwiesch C. Waiting patiently: an empirical study of queue abandonment in an emergency department. Manag Sci. 2015; 61 ( 1 ): 39 - 59.
dc.identifier.citedreferenceKlein JP, Moeschberger ML. Survival Analysis: Techniques for Censored and Truncated Data. New York, NY: Springer; 2013.
dc.identifier.citedreferenceWilson JMG, Jungner G. Principles and Practice of Screening for Disease. Geneva, Switzerland: Organization World Health; 1968.
dc.identifier.citedreferenceZelen M, Feinleib M. On the theory of screening for chronic diseases. Biometrika. 1969; 56 ( 3 ): 601 - 614.
dc.identifier.citedreferencePrentice RL, Gloeckler LA. Regression analysis of grouped survival data with application to breast cancer data. Biometrics. 1978; 34: 57 - 67.
dc.identifier.citedreferenceGans N, Koole G, Mandelbaum A. Telephone call centers: tutorial, review, and research prospects. Manuf Serv Oper Manag. 2003; 5 ( 2 ): 79 - 141.
dc.identifier.citedreferenceAksin Z, Armony M, Mehrotra V. The modern call center: a multi-disciplinary perspective on operations management research. Product Oper Manag. 2007; 16 ( 6 ): 665 - 688.
dc.identifier.citedreferenceMandelbaum A, Zeltyn S. Data-stories about (IM) patient customers in tele-queues. Queueing Syst. 2013; 75 ( 2-4 ): 115 - 146.
dc.identifier.citedreferenceKaplan EL, Meier P. Nonparametric estimation from incomplete observations. J Am Stat Assoc. 1958; 53 ( 282 ): 457 - 481.
dc.identifier.citedreferenceWiler JL, Bolandifar E, Griffey RT, Poirier RF, Olsen T. An emergency department patient flow model based on queueing theory principles. Acad Emerg Med. 2013; 20 ( 9 ): 939 - 946.
dc.identifier.citedreferenceNah F. A study on tolerable waiting time: how long are web users willing to wait? Behav Inf Technol. 2004; 23 ( 3 ): 153 - 163.
dc.identifier.citedreferenceYom-Tov G B, Rafaeli A, Ashtar S, et al. Customer emotion in chat services: automatic identification and new insights; 2018. Under review.
dc.identifier.citedreferenceWong WH. Theory of partial likelihood. Ann Stat. 1986; 14: 88 - 123.
dc.identifier.citedreferenceKosorok MR. Introduction to Empirical Processes and Semiparametric Inference. New York, NY: Springer; 2008.
dc.identifier.citedreferenceTsybakov AB. Introduction to Nonparametric Estimation. New York, NY: Springer Science & Business Media; 2008.
dc.identifier.citedreferenceShaikh SB, Jerrard DA, Witting MD, Winters ME, Brodeur MN. How long are patients willing to wait in the emergency department before leaving without being seen? Western J Emerg Med. 2012; 13 ( 6 ): 463.
dc.identifier.citedreferenceVaart AW. Asymptotic Statistics. Cambridge, UK: Cambridge University Press; 2000.
dc.working.doiNOen
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
sim9434.pdf
Size:
2.319MB
Format:
PDF
View/Open
Name:
sim9434_am.pdf
Size:
1.006MB
Format:
PDF
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.