ANEXO XI
Laboratório de Bioestatística Bayesiana
e
Teoria de Sistemas Complexos.
Membros Permanentes:
Basílio de Bragança Pereira (Coordenador) – Professor Titular /FM e COPPE
Nelson Albuquerque de Souza e Silva– Professor Titular /FM
Helio dos Santos Migon – Professor Titular /IM e COPPE
Edmundo Souza e Silva – Professor Titular /COPPE
Glaucia Maria Moraes de Oliveira – Professora Adjunta/FM
Lucia Helena Alvares Salis – Médica /HUCFF
Membros Colaboradores:
Carlos Alberto de Bragança Pereira – Professor Titular/IME-USP
Alexandra Mello Schmidt – Professor Adjunto/IM
Dani Gamerman – Professor Titular/IM
Leticia Krauss e Silva – Pesquisador Titular/FIOCRUZ
Carlos Henrique Klein – Pesquisador Titular/FIOCRUZ
Mariane Branco Alves – Professora Adjunta /UERJ e Consultora FIOTEC junto a
Letícia Krauss e Silva
Raul Antonino Feijóo – Laboratório Nacional de Ciências da Computação (LNCC) /
MCTI
Physical Area:
The Laboratory is established at the Unidade Acadêmica Intra-hospitalar de Saúde
Cardiovascular of The Instituto do Coração Edson Saad / FM and HUCFF / UFRJ.
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Justificative:
The nature of the Laboratory and one of its main strengths, is that it encompasses a
wide range of analytical and scientific methods: Statistical, Computational and
Mathematical modelling, clinical research methodology (including trial design and
analysis), clinical judgment, philosophy of sciences, medical decision making, health
technology assessment. All methods form part of the knowledge base available within
UFRJ, Fiocruz and LNCC. Expertise in these technical areas is achieved by continuous
collaboration among professionals of multiple areas of knowledge. Although some
members of our statistical team are not clinically trained, all have practical experience of
communicating and working effectively with health care practitioners. This is an essential
ingredient for the success of the unit; the harnessing of clinical insight and experience for
Clinical Decision support within a Health Care unit. Problem solving based approach is
remarkably effective in producing results relevant to the health community. Complex
questions and problems emerging from the continuous observation of the health care of
patients and health system organization demand new methodologies for their solutions.
Objectives
To advance understanding of the causation, natural
history and treatment of
disease and the complex patient-culture-society-environment interaction.
To evaluate public health strategies through the development of statistical methods
and their application to the design, analysis and interpretation of biomedical studies.
The purpose is to promote excellence in national and international health care
resource allocation and decisions, through applied and theoretical research funded by the
public and private sector; and to support the effective implementation of the results of
such research through education, training and management interventions.
We consider how people´s health and well-being can be defined, measured and
improved in ways that health policy-makers may determine the best use of available
resources. We investigate the determinants of well-being insofar as these are relevant to
policy formulation.
The laboratory undertakes reviews of the effectiveness and cost effectiveness of
health care interventions for the National Health Technology Assessment Network on
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behalf of a range of policy makers, including the Ministério da Saúde e Secretarias de
Estado de Saúde.
The laboratory provides advice and practical support to investigators planning or
running clinical trials. We can provide expertise in the design and operational conduction
of trials to international regulatory standards in clinical, community and general practice
settings.
Other study designs such as observational studies, patient records analysis, cohort
studies and data base analysis which require significant levels of data management could
also benefit from the laboratory support.
The future work program includes the use of the Net Benefit Framework in
pharmaceutical licensing; methods for incorporating equity weights into cost effectiveness
models and the study of social networks.
Research areas:
Medical Statistics: Basilio Bragança Pereira, Helio Migon, Glaucia Maria de Oliveira
Clinical Decision Making and Judgment: Nelson Souza e Silva, Gláucia Maria de Oliveira,
Lucia Helena Salis, Helio Migon, Basilio Bragança Pereira
Stocastic Models – Bayesian Networks and Markov Chains: Edmundo Souza e Silva,
Fernando Silveira, Nelson Souza e Silva, Lucia Helena Salis.
Health Technology assessment: Nelson Souza e Silva, Letícia Krauss e Silva, Carlos
Henrique Klein, Paulo Henrique Godoy.
Data Base analysis: Carlos Henrique Klein, Bernardo Tura, Nelson Souza e Silva, Glaucia
Maria de Oliveira, Paulo Henrique Godoy.
Research in the Laboratory is highly regarded in the field of applying Bayesian
methods in health care evaluation and related research.
The laboratory:
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develops
new statistical methodology relevant to medical and health services
research
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•
helps and provides high quality advice on research proposals and in the use of
modern statistical methods in the analysis and display of data
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provides direct input to medical and health services research projects through
collaborative research and consulting
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develops and delivers statistical teaching modules for undergraduate and graduate
degree students at the Instituto do Coração
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trains medical and health services professionals in the theory and application of
appropriate statistical methods in their own research
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trains the next generation of medical statisticians.
FIM
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