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Extension of cure rate model when cured is partially known

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TypeOfResource
Text
TitleInfo (ID = T-1)
Title
Extension of cure rate model when cured is partially known
Identifier
ETD_2578
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000053221
Language
LanguageTerm (authority = ISO639-2); (type = code)
eng
Genre (authority = marcgt)
theses
Subject (ID = SBJ-1); (authority = RUETD)
Topic
Statistics and Biostatistics
Subject (ID = SBJ-2); (authority = ETD-LCSH)
Topic
Survival analysis (Biometry)
Abstract (type = abstract)
When there is evidence of long term survivors, cure rate models have been used by researchers to model the tail behavior of the survival curve. Mixture models were traditionally used, and different parameter estimation approaches for parametric and semi-parametric models have been suggested. A common aspect of the traditional cure rate models is that they implicitly assume there is no additional information about the status of cure, thus the indicator of cure has been modeled as latent variable. This assumption is not entirely valid in many cases, when some diagnostic procedure can provide information about the status of cure. This dissertation proposes a novel extension to incorporate the additional information about status of cure in the cure rate models. It also shows that, with this additional information, more efficient estimator can be obtained. The efficiency gain increases with better sensitivity and specificity of the diagnostic procedure. The efficiency gain is larger when the censoring rate is high. This extension can be applied when the latency part is modeled parametrically, semi-parametrically, or non-parametrically. Both proportional hazards (PH) cure rate models and accelerated failure time (AFT) cure rate models can use this model extension. Simulation study and a case study results are presented.
PhysicalDescription
Form (authority = gmd)
electronic resource
Extent
xix, 166 p. : ill.
InternetMediaType
application/pdf
InternetMediaType
text/xml
Note (type = degree)
Ph.D.
Note
Includes abstract
Note
Vita
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Yu Wu
Name (ID = NAME-1); (type = personal)
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Wu
NamePart (type = given)
Yu
NamePart (type = date)
1974-
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author
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Yu Wu
Name (ID = NAME-2); (type = personal)
NamePart (type = family)
LIN
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YONG
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chair
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Advisory Committee
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YONG LIN
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NamePart (type = family)
Lu
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Shou-En
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internal member
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Advisory Committee
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Shou-En Lu
Name (ID = NAME-4); (type = personal)
NamePart (type = family)
Shih
NamePart (type = given)
Weichung Joe
Role
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internal member
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Advisory Committee
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Weichung Joe Shih
Name (ID = NAME-5); (type = personal)
NamePart (type = family)
Wu
NamePart (type = given)
Yujun
Role
RoleTerm (authority = RULIB)
outside member
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Advisory Committee
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Yujun Wu
Name (ID = NAME-1); (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (ID = NAME-2); (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
OriginInfo
DateCreated (qualifier = exact)
2010
DateOther (qualifier = exact); (type = degree)
2010
Place
PlaceTerm (type = code)
xx
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T30R9PGN
Genre (authority = ExL-Esploro)
ETD doctoral
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RightsDeclaration (AUTHORITY = GS); (ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsHolder (ID = PRH-1); (type = personal)
Name
FamilyName
Wu
GivenName
Yu
Role
Copyright Holder
RightsEvent (ID = RE-1); (AUTHORITY = rulib)
Type
Permission or license
DateTime
2010-04-13 00:18:18
AssociatedEntity (ID = AE-1); (AUTHORITY = rulib)
Role
Copyright holder
Name
Yu Wu
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject (ID = AO-1); (AUTHORITY = rulib)
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Technical

ContentModel
ETD
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application/pdf
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application/x-tar
FileSize (UNIT = bytes)
983040
Checksum (METHOD = SHA1)
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