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Competing-Risks Regression Models in Analysis of Biomarkers as Predictors of High-Risk Human Papillomavirus (Hpv) Infection Outcomes and Incident Cin in the Lams Cohort

AuthID
P-006-9DB

Author(s)

Syrjanen, S

Longhato Filho, A

Sarian, LO

Naud, P

Derchain, S

Rottelli Martins, C

Tatti, S

Branca, M

Erzen, M

Hammes, LS

Matos, J

Gontijo, R

Braganca, J

Arlindo, FC

Maeda, MYS

Costa, S

Syrjanen, K

Document Type

Article

Year published

2013

Published

in INTERNATIONAL JOURNAL OF GYNECOLOGICAL PATHOLOGY, ISSN: 0277-1691

Volume: 32, Issue: 4, Pages: 406-415 (10)

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Publication Identifiers

DOI: 10.1097/pgp.0b013e31826739b1

Pubmed: 23722514

Scopus: 2-s2.0-84880216009

Wos: WOS:000323216700010

Source Identifiers

ISSN: 0277-1691

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Competing-Risks Regression Models in Analysis of Biomarkers as Predictors of High-Risk Human Papillomavirus (Hpv) Infection Outcomes and Incident Cin in the Lams Cohort

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Competing-Risks Regression Models in Analysis of Biomarkers as Predictors of High-Risk Human Papillomavirus (Hpv) Infection Outcomes and Incident Cin in the Lams Cohort

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