Estimation and extrapolation of optimal treatment and testing strategies
We review recent developments in the estimation of an optimal treatment strategy or regime from longitudinal data collected in an observational study. We also propose novel methods for using the data obtained from an observational database in one health-care system to determine the optimal treatment...
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2008
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_02776715_v27_n23_p4678_Robins http://hdl.handle.net/20.500.12110/paper_02776715_v27_n23_p4678_Robins |
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paper:paper_02776715_v27_n23_p4678_Robins2023-06-08T15:26:07Z Estimation and extrapolation of optimal treatment and testing strategies Causal inference Dynamic regime Marginal structural model Value of information antiretrovirus agent CD4 lymphocyte count clinical protocol clinical trial diagnostic test drug response health care system health status highly active antiretroviral therapy human Human immunodeficiency virus infection medical information observational study prognosis review risk assessment statistical analysis statistical model survival time Antiretroviral Therapy, Highly Active Bias (Epidemiology) Data Interpretation, Statistical HIV Infections Humans Longitudinal Studies Models, Statistical Prognosis Treatment Outcome We review recent developments in the estimation of an optimal treatment strategy or regime from longitudinal data collected in an observational study. We also propose novel methods for using the data obtained from an observational database in one health-care system to determine the optimal treatment regime for biologically similar subjects in a second health-care system when, for cultural, logistical, or financial reasons, the two health-care systems differ (and will continue to differ) in the frequency of, and reasons for, both laboratory tests and physician visits. Finally, we propose a novel method for estimating the optimal timing of expensive and/or painful diagnostic or prognostic tests. Diagnostic or prognostic tests are only useful in so far as they help a physician to determine the optimal dosing strategy, by providing information on both the current health state and the prognosis of a patient because, in contrast to drug therapies, these tests have no direct causal effect on disease progression. Our new method explicitly incorporates this no direct effect restriction. Copyright © 2008 John Wiley & Sons, Ltd. 2008 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_02776715_v27_n23_p4678_Robins http://hdl.handle.net/20.500.12110/paper_02776715_v27_n23_p4678_Robins |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Causal inference Dynamic regime Marginal structural model Value of information antiretrovirus agent CD4 lymphocyte count clinical protocol clinical trial diagnostic test drug response health care system health status highly active antiretroviral therapy human Human immunodeficiency virus infection medical information observational study prognosis review risk assessment statistical analysis statistical model survival time Antiretroviral Therapy, Highly Active Bias (Epidemiology) Data Interpretation, Statistical HIV Infections Humans Longitudinal Studies Models, Statistical Prognosis Treatment Outcome |
| spellingShingle |
Causal inference Dynamic regime Marginal structural model Value of information antiretrovirus agent CD4 lymphocyte count clinical protocol clinical trial diagnostic test drug response health care system health status highly active antiretroviral therapy human Human immunodeficiency virus infection medical information observational study prognosis review risk assessment statistical analysis statistical model survival time Antiretroviral Therapy, Highly Active Bias (Epidemiology) Data Interpretation, Statistical HIV Infections Humans Longitudinal Studies Models, Statistical Prognosis Treatment Outcome Estimation and extrapolation of optimal treatment and testing strategies |
| topic_facet |
Causal inference Dynamic regime Marginal structural model Value of information antiretrovirus agent CD4 lymphocyte count clinical protocol clinical trial diagnostic test drug response health care system health status highly active antiretroviral therapy human Human immunodeficiency virus infection medical information observational study prognosis review risk assessment statistical analysis statistical model survival time Antiretroviral Therapy, Highly Active Bias (Epidemiology) Data Interpretation, Statistical HIV Infections Humans Longitudinal Studies Models, Statistical Prognosis Treatment Outcome |
| description |
We review recent developments in the estimation of an optimal treatment strategy or regime from longitudinal data collected in an observational study. We also propose novel methods for using the data obtained from an observational database in one health-care system to determine the optimal treatment regime for biologically similar subjects in a second health-care system when, for cultural, logistical, or financial reasons, the two health-care systems differ (and will continue to differ) in the frequency of, and reasons for, both laboratory tests and physician visits. Finally, we propose a novel method for estimating the optimal timing of expensive and/or painful diagnostic or prognostic tests. Diagnostic or prognostic tests are only useful in so far as they help a physician to determine the optimal dosing strategy, by providing information on both the current health state and the prognosis of a patient because, in contrast to drug therapies, these tests have no direct causal effect on disease progression. Our new method explicitly incorporates this no direct effect restriction. Copyright © 2008 John Wiley & Sons, Ltd. |
| title |
Estimation and extrapolation of optimal treatment and testing strategies |
| title_short |
Estimation and extrapolation of optimal treatment and testing strategies |
| title_full |
Estimation and extrapolation of optimal treatment and testing strategies |
| title_fullStr |
Estimation and extrapolation of optimal treatment and testing strategies |
| title_full_unstemmed |
Estimation and extrapolation of optimal treatment and testing strategies |
| title_sort |
estimation and extrapolation of optimal treatment and testing strategies |
| publishDate |
2008 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_02776715_v27_n23_p4678_Robins http://hdl.handle.net/20.500.12110/paper_02776715_v27_n23_p4678_Robins |
| _version_ |
1768542313819144192 |