Implications of Selection Bias Due to Delayed Study Entry in Clinical Genomic Studies.
Sign Up to like & getrecommendations! Published in 2021 at "JAMA oncology"
DOI: 10.1001/jamaoncol.2021.5153
Abstract: Importance Real-world data sets that combine clinical and genomic data may be subject to left truncation (when potential study participants are not included because they have already passed the milestone of interest at the time… read more here.
Keywords: implications selection; study; clinical genomic; left truncation ... See more keywords
Variable selection for discrete survival model with frailty in presence of left truncation and right censoring: Studying association of environmental toxicants on time‐to‐pregnancy
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9609
Abstract: Understanding the association between mixtures of environmental toxicants and time‐to‐pregnancy (TTP) is an important scientific question as sufficient evidence has emerged about the impact of individual toxicants on reproductive health and that individuals are exposed… read more here.
Keywords: discrete survival; toxicants time; environmental toxicants; left truncation ... See more keywords
The impact of left truncation of exposure in environmental case–control studies: evidence from breast cancer risk associated with airborne dioxin
Sign Up to like & getrecommendations! Published in 2021 at "European Journal of Epidemiology"
DOI: 10.1007/s10654-021-00776-y
Abstract: In epidemiology, left-truncated data may bias exposure effect estimates. We analyzed the bias induced by left truncation in estimating breast cancer risk associated with exposure to airborne dioxins. Simulations were run with exposure estimates from… read more here.
Keywords: exposure; breast cancer; cancer risk; epidemiology ... See more keywords
Estimation of reinforced urn processes under left-truncation and right-censoring
Sign Up to like & getrecommendations! Published in 2023 at "Royal Society Open Science"
DOI: 10.1098/rsos.221223
Abstract: We propose a non-parametric estimator for bivariate left-truncated and right-censored observations that combines the expectation–maximization algorithm and the reinforced urn process. The resulting expectation-reinforcement algorithm allows for the inclusion of experts’ knowledge in the form… read more here.
Keywords: truncation; left truncation; estimation reinforced; reinforced urn ... See more keywords