Estimation of the Average Causal Effect in Longitudinal Data With Time-Varying Exposures: The Challenge of Non-Positivity and the Impact of Model Flexibility.
Sign Up to like & getrecommendations! Published in 2022 at "American journal of epidemiology"
DOI: 10.1093/aje/kwac136
Abstract: There are important challenges to the estimation and identification of average causal effects in longitudinal data with time-varying exposures. Here, we discuss the difficulty in meeting the positivity condition. Our motivating example is the per-protocol… read more here.
Keywords: longitudinal data; positivity; non positivity; data time ... See more keywords
Joint analysis of multivariate interval-censored survival data and a time-dependent covariate
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DOI: 10.1177/0962280220975064
Abstract: We develop a joint modeling method for multivariate interval-censored survival data and a time-dependent covariate that is intermittently measured with error. The joint model is estimated using nonparametric maximum likelihood estimation, which is carried out… read more here.
Keywords: censored survival; data time; interval censored; survival data ... See more keywords
Low-Pass Filtering Method for Poisson Data Time Series
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DOI: 10.3390/app11104524
Abstract: Problems of digital processing of Poisson-distributed data time series from various counters of radiation particles, photons, slow neutrons etc. are relevant for experimental physics and measuring technology. A low-pass filtering method for normalized Poisson-distributed data… read more here.
Keywords: time series; filtering method; poisson; data time ... See more keywords