منابع مشابه
Missing confounding data in marginal structural models: a comparison of inverse probability weighting and multiple imputation.
Standard statistical analyses of observational data often exclude valuable information from individuals with incomplete measurements. This may lead to biased estimates of the treatment effect and loss of precision. The issue of missing data for inverse probability of treatment weighted estimation of marginal structural models (MSMs) has often been addressed, though little has been done to compa...
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One of the main objectives in clinical epidemiology is to detect a relation between treatment and outcome. We address data where treatment is applied repeatedly in time and the dose given at a specific time-point may be modified due to actual measurements on disease parameters. If such measurements are subsequently affected by the treatment, they might act as time-dependent confounders. Standar...
متن کاملMissing data imputation in multivariable time series data
Multivariate time series data are found in a variety of fields such as bioinformatics, biology, genetics, astronomy, geography and finance. Many time series datasets contain missing data. Multivariate time series missing data imputation is a challenging topic and needs to be carefully considered before learning or predicting time series. Frequent researches have been done on the use of diffe...
متن کاملMarginal structural models for partial exposure regimes.
Intensive care unit (ICU) patients are highly susceptible to hospital-acquired infections due to their poor health and many invasive therapeutic treatments. The effect on mortality of acquiring such infections is, however, poorly understood. Our goal is to quantify this using data from the National Surveillance Study of Nosocomial Infections in ICUs (Belgium). This is challenging because of the...
متن کاملAnalysis of longitudinal marginal structural models.
In this article we construct and study estimators of the causal effect of a time-dependent treatment on survival in longitudinal studies. We employ a particular marginal structural model (MSM), proposed by Robins (2000), and follow a general methodology for constructing estimating functions in censored data models. The inverse probability of treatment weighted (IPTW) estimator of Robins et al. ...
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ژورنال
عنوان ژورنال: Medical Care
سال: 2019
ISSN: 0025-7079
DOI: 10.1097/mlr.0000000000001063