Hasil Pencarian - LEILA D. AMORIM

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  1. 1
    Prevalence ratio estimation via logistic regression: a tool in R

    Prevalence ratio estimation via logistic regression: a tool in R oleh LEILA D. AMORIM, RAYDONAL OSPINA

    Diterbitkan 2021-09-01
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  2. 2
    Vulnerability in the context of HIV and syphilis infection in a population of men who have sex with men (MSM) in Salvador, Bahia State, Brazil

    Vulnerability in the context of HIV and syphilis infection in a population of men who have sex with men (MSM) in Salvador, Bahia State, Brazil oleh Sandra Brignol, Inês Dourado, Leila D. Amorim, Lígia Regina Franco Sansigolo Kerr

    Diterbitkan 2015-05-01
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  3. 3
    Effects of environment on human cytokine responses during childhood in the tropics: role of urban versus rural residence

    Effects of environment on human cytokine responses during childhood in the tropics: role of urban versus rural residence oleh Philip J. Cooper, Leila D. Amorim, Camila A. Figueiredo, Renata Esquivel, Fernanda Tupiza, Silvia Erazo, Yisela Oviedo, Maritza Vaca, Martha E. Chico, Mauricio L. Barreto

    Diterbitkan 2015-01-01
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  4. 4
    A community study of factors related to poorly controlled asthma among Brazilian urban children.

    A community study of factors related to poorly controlled asthma among Brazilian urban children. oleh Silvia de Magalhães Simões, Sergio S da Cunha, Álvaro A Cruz, Karen Conceição Dias, Neuza M Alcântara-Neves, Leila D Amorim, Laura C Rodrigues, Maurício L Barreto

    Diterbitkan 2012-01-01
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  5. 5
    Screening for common mental disorders using the SRQ-20 in Brazil: what are the alternative strategies for analysis?

    Screening for common mental disorders using the SRQ-20 in Brazil: what are the alternative strategies for analysis? oleh Maria B. Barreto do Carmo, Leticia M. dos Santos, Caroline A. Feitosa, Rosemeire L. Fiaccone, Nívea B. da Silva, Darci N. dos Santos, Maurício L. Barreto, Leila D. Amorim

    Diterbitkan 2017-09-01
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  6. 6
    CIDACS-RL: a novel indexing search and scoring-based record linkage system for huge datasets with high accuracy and scalability

    CIDACS-RL: a novel indexing search and scoring-based record linkage system for huge datasets with high accuracy and scalability oleh George C. G. Barbosa, M. Sanni Ali, Bruno Araujo, Sandra Reis, Samila Sena, Maria Y. T. Ichihara, Julia Pescarini, Rosemeire L. Fiaccone, Leila D. Amorim, Robespierre Pita, Marcos E. Barreto, Liam Smeeth, Mauricio L. Barreto

    Diterbitkan 2020-11-01
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