Performance of the marginal structural cox model for estimating individual and joined effects of treatments given in combination

Background The Marginal Structural Cox Model (Cox-MSM), an alternative approach to handle time-dependent confounder, was introduced for survival analysis and applied to estimate the joint causal effect of two time-dependent nonrandomized treatments on survival among HIV-positive subjects. Neverthele...

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Vydané v:	BMC medical research methodology Ročník 17; číslo 1; s. 160 - 11
Hlavní autori:	Lusivika-Nzinga, Clovis, Selinger-Leneman, Hana, Grabar, Sophie, Costagliola, Dominique, Carrat, Fabrice
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London BioMed Central 04.12.2017 BioMed Central Ltd BMC
Predmet:	Algorithms Analysis Anus Neoplasms - chemically induced Anus Neoplasms - epidemiology Causal inference CD4 Lymphocyte Count Data analysis Female Health Sciences Highly active antiretroviral therapy HIV Infections - drug therapy HIV Infections - epidemiology HIV Infections - immunology HIV Protease Inhibitors - adverse effects HIV Protease Inhibitors - therapeutic use Humans Life Sciences Longitudinal data Male Marginal structural models Medicine Medicine & Public Health Multitherapy Pharmaceutical sciences Proportional Hazards Models Protease inhibitors Proteases Research Article Santé publique et épidémiologie Statistical Theory and Methods statistics and modelling Statistics for Life Sciences Theory of Medicine/Bioethics Time-dependent confounding Treatment Outcome Causal inference Time-dependent confounding Longitudinal data Marginal structural models Multitherapy
ISSN:	1471-2288, 1471-2288
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