On the analysis of tuberculosis studies with intermittent missing sputum data

Autores
Scharfstein, Daniel; Rotnitzky, Andrea Gloria; Abraham, Maria; McDermott, Aidan; Chaisson, Richard; Geiter, Lawrence
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In randomized studies evaluating treatments for tuberculosis (TB), individuals are scheduled to be routinely evaluated for the presence of TB using sputum cultures. One important endpoint in such studies is the time of culture conversion, the first visit at which a patient’s sputum culture is negative and remains negative. This article addresses how to draw inference about treatment effects when sputum cultures are intermittently missing on some patients. We discuss inference under a novel benchmark assumption and under a class of assumptions indexed by a treatment-specific sensitivity parameter that quantify departures from the benchmark assumption. We motivate and illustrate our approach using data from a randomized trial comparing the effectiveness of two treatments for adult TB patients in Brazil.
Fil: Scharfstein, Daniel. University Johns Hopkins; Estados Unidos
Fil: Rotnitzky, Andrea Gloria. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Torcuato Di Tella. Departamento de Economía; Argentina
Fil: Abraham, Maria. Statistics Collaborative; Estados Unidos
Fil: McDermott, Aidan. University Johns Hopkins; Estados Unidos
Fil: Chaisson, Richard. University Johns Hopkins; Estados Unidos
Fil: Geiter, Lawrence. Otsuka Novel Products; Estados Unidos
Materia
CULTURE CONVERSION
CURSE OF DIMENSIONALITY
EXPONENTIAL TILTING
REVERSETIME HAZARD
SENSITIVITY ANALYSIS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/98547
Acceder
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network_name_str CONICET Digital (CONICET)
spelling On the analysis of tuberculosis studies with intermittent missing sputum dataScharfstein, DanielRotnitzky, Andrea GloriaAbraham, MariaMcDermott, AidanChaisson, RichardGeiter, LawrenceCULTURE CONVERSIONCURSE OF DIMENSIONALITYEXPONENTIAL TILTINGREVERSETIME HAZARDSENSITIVITY ANALYSIShttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1In randomized studies evaluating treatments for tuberculosis (TB), individuals are scheduled to be routinely evaluated for the presence of TB using sputum cultures. One important endpoint in such studies is the time of culture conversion, the first visit at which a patient’s sputum culture is negative and remains negative. This article addresses how to draw inference about treatment effects when sputum cultures are intermittently missing on some patients. We discuss inference under a novel benchmark assumption and under a class of assumptions indexed by a treatment-specific sensitivity parameter that quantify departures from the benchmark assumption. We motivate and illustrate our approach using data from a randomized trial comparing the effectiveness of two treatments for adult TB patients in Brazil.Fil: Scharfstein, Daniel. University Johns Hopkins; Estados UnidosFil: Rotnitzky, Andrea Gloria. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Torcuato Di Tella. Departamento de Economía; ArgentinaFil: Abraham, Maria. Statistics Collaborative; Estados UnidosFil: McDermott, Aidan. University Johns Hopkins; Estados UnidosFil: Chaisson, Richard. University Johns Hopkins; Estados UnidosFil: Geiter, Lawrence. Otsuka Novel Products; Estados UnidosInstitute of Mathematical Statistics2015-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/98547Scharfstein, Daniel; Rotnitzky, Andrea Gloria; Abraham, Maria; McDermott, Aidan; Chaisson, Richard; et al.; On the analysis of tuberculosis studies with intermittent missing sputum data; Institute of Mathematical Statistics; Annals Of Applied Statistics; 9; 4; 12-2015; 2215-22361932-6157CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://projecteuclid.org/euclid.aoas/1453994198info:eu-repo/semantics/altIdentifier/doi/10.1214/15-AOAS860info:eu-repo/semantics/altIdentifier/url/https://arxiv.org/abs/1602.02891info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T15:26:27Zoai:ri.conicet.gov.ar:11336/98547instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-08-25 15:26:28.255CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv On the analysis of tuberculosis studies with intermittent missing sputum data
title On the analysis of tuberculosis studies with intermittent missing sputum data
spellingShingle On the analysis of tuberculosis studies with intermittent missing sputum data
Scharfstein, Daniel
CULTURE CONVERSION
CURSE OF DIMENSIONALITY
EXPONENTIAL TILTING
REVERSETIME HAZARD
SENSITIVITY ANALYSIS
title_short On the analysis of tuberculosis studies with intermittent missing sputum data
title_full On the analysis of tuberculosis studies with intermittent missing sputum data
title_fullStr On the analysis of tuberculosis studies with intermittent missing sputum data
title_full_unstemmed On the analysis of tuberculosis studies with intermittent missing sputum data
title_sort On the analysis of tuberculosis studies with intermittent missing sputum data
dc.creator.none.fl_str_mv Scharfstein, Daniel
Rotnitzky, Andrea Gloria
Abraham, Maria
McDermott, Aidan
Chaisson, Richard
Geiter, Lawrence
author Scharfstein, Daniel
author_facet Scharfstein, Daniel
Rotnitzky, Andrea Gloria
Abraham, Maria
McDermott, Aidan
Chaisson, Richard
Geiter, Lawrence
author_role author
author2 Rotnitzky, Andrea Gloria
Abraham, Maria
McDermott, Aidan
Chaisson, Richard
Geiter, Lawrence
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv CULTURE CONVERSION
CURSE OF DIMENSIONALITY
EXPONENTIAL TILTING
REVERSETIME HAZARD
SENSITIVITY ANALYSIS
topic CULTURE CONVERSION
CURSE OF DIMENSIONALITY
EXPONENTIAL TILTING
REVERSETIME HAZARD
SENSITIVITY ANALYSIS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In randomized studies evaluating treatments for tuberculosis (TB), individuals are scheduled to be routinely evaluated for the presence of TB using sputum cultures. One important endpoint in such studies is the time of culture conversion, the first visit at which a patient’s sputum culture is negative and remains negative. This article addresses how to draw inference about treatment effects when sputum cultures are intermittently missing on some patients. We discuss inference under a novel benchmark assumption and under a class of assumptions indexed by a treatment-specific sensitivity parameter that quantify departures from the benchmark assumption. We motivate and illustrate our approach using data from a randomized trial comparing the effectiveness of two treatments for adult TB patients in Brazil.
Fil: Scharfstein, Daniel. University Johns Hopkins; Estados Unidos
Fil: Rotnitzky, Andrea Gloria. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Torcuato Di Tella. Departamento de Economía; Argentina
Fil: Abraham, Maria. Statistics Collaborative; Estados Unidos
Fil: McDermott, Aidan. University Johns Hopkins; Estados Unidos
Fil: Chaisson, Richard. University Johns Hopkins; Estados Unidos
Fil: Geiter, Lawrence. Otsuka Novel Products; Estados Unidos
description In randomized studies evaluating treatments for tuberculosis (TB), individuals are scheduled to be routinely evaluated for the presence of TB using sputum cultures. One important endpoint in such studies is the time of culture conversion, the first visit at which a patient’s sputum culture is negative and remains negative. This article addresses how to draw inference about treatment effects when sputum cultures are intermittently missing on some patients. We discuss inference under a novel benchmark assumption and under a class of assumptions indexed by a treatment-specific sensitivity parameter that quantify departures from the benchmark assumption. We motivate and illustrate our approach using data from a randomized trial comparing the effectiveness of two treatments for adult TB patients in Brazil.
publishDate 2015
dc.date.none.fl_str_mv 2015-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/98547
Scharfstein, Daniel; Rotnitzky, Andrea Gloria; Abraham, Maria; McDermott, Aidan; Chaisson, Richard; et al.; On the analysis of tuberculosis studies with intermittent missing sputum data; Institute of Mathematical Statistics; Annals Of Applied Statistics; 9; 4; 12-2015; 2215-2236
1932-6157
CONICET Digital
CONICET
url http://hdl.handle.net/11336/98547
identifier_str_mv Scharfstein, Daniel; Rotnitzky, Andrea Gloria; Abraham, Maria; McDermott, Aidan; Chaisson, Richard; et al.; On the analysis of tuberculosis studies with intermittent missing sputum data; Institute of Mathematical Statistics; Annals Of Applied Statistics; 9; 4; 12-2015; 2215-2236
1932-6157
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://projecteuclid.org/euclid.aoas/1453994198
info:eu-repo/semantics/altIdentifier/doi/10.1214/15-AOAS860
info:eu-repo/semantics/altIdentifier/url/https://arxiv.org/abs/1602.02891
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Mathematical Statistics
publisher.none.fl_str_mv Institute of Mathematical Statistics
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.24418

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