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Luiz Ricardo Nakamura

Datos Biográficos

ID1781806
NOMBRELuiz Ricardo Nakamura
NOMBRESLuiz Ricardo
APELLIDONakamura
FIRMANAKAMURA L R
AFILIACIONESUniversidade Federal de Lavras
ORCID0000-0002-7312-2717
VERIFICADOSí
TOTAL DE OBRAS2
TOTAL DE CITAS1
OBRAS COMO AUTOR2
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2018
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H1
  • Survival time analysis in women with breast cancer using distributional regression models

    Open Access•Igor De Souza Lima, Sóstenes Jerônimo Da Silva et al.•ARTICLE•Cadernos de Saude Publica•2025•Referencias: 29

    Cancer is a global public health concern due to its high mortality rates. In Brazil, breast cancer is one of the leading causes of disease and death among women in all regions of the country, with higher mortality rates in less developed regions. Hence, this study analyzes variables associated with survival time in breast cancer patients in Campina Grande, Paraíba State, Brazil. Distributional regression models, also known as generalized additive…

  • Predicting survival function and identifying associated factors in patients with renal insufficiency in the metropolitan area of Maringá, Paraná State, Brazil

    Open Access•Thiago Gentil Ramires, Luiz Ricardo Nakamura et al.•ARTICLE•Cadernos de Saude Publica•2018•Citada por: 1•Referencias: 15

    Renal insufficiency is a serious medical and public health problem worldwide. Recently, although many surveys have been developed to identify factors related to the lifetime of patients with renal insufficiency, controversial results from several studies suggest that researches should be conducted by region. Thus, in this study we aim to predict and identify factors associated with the lifetime of patients with chronic renal failure (CRF) in the …

  • Predicting survival function and identifying associated factors in patients with renal insufficiency in the metropolitan area of Maringá, Paraná State, Brazil

    Open Access•Thiago Gentil Ramires, Luiz Ricardo Nakamura et al.•ARTICLE•Cadernos de Saude Publica•2018•Citada por: 1•Referencias: 15

    Renal insufficiency is a serious medical and public health problem worldwide. Recently, although many surveys have been developed to identify factors related to the lifetime of patients with renal insufficiency, controversial results from several studies suggest that researches should be conducted by region. Thus, in this study we aim to predict and identify factors associated with the lifetime of patients with chronic renal failure (CRF) in the …

  • Predicting survival function and identifying associated factors in patients with renal insufficiency in the metropolitan area of Maringá, Paraná State, Brazil

    Open Access•Thiago Gentil Ramires, Luiz Ricardo Nakamura et al.•ARTICLE•Cadernos de Saude Publica•2018•Citada por: 1•Referencias: 15

    Renal insufficiency is a serious medical and public health problem worldwide. Recently, although many surveys have been developed to identify factors related to the lifetime of patients with renal insufficiency, controversial results from several studies suggest that researches should be conducted by region. Thus, in this study we aim to predict and identify factors associated with the lifetime of patients with chronic renal failure (CRF) in the …

  • Survival time analysis in women with breast cancer using distributional regression models

    Open Access•Igor De Souza Lima, Sóstenes Jerônimo Da Silva et al.•ARTICLE•Cadernos de Saude Publica•2025•Referencias: 29

    Cancer is a global public health concern due to its high mortality rates. In Brazil, breast cancer is one of the leading causes of disease and death among women in all regions of the country, with higher mortality rates in less developed regions. Hence, this study analyzes variables associated with survival time in breast cancer patients in Campina Grande, Paraíba State, Brazil. Distributional regression models, also known as generalized additive…

Internal Medicine (2 obras) · Internal Medicine (2 obras) · Medicine (2 obras) · Akaike information criterion (1 obra) · Breast cancer (1 obra) · Cancer (1 obra) · Cancer Risks and Factors (1 obra) · Covariate (1 obra) · Demography (1 obra) · Estrogen receptor (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae