Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Lorch, Scott A"'
Protocol for a Study of the Effect of Surface Mining in Central Appalachia on Adverse Birth Outcomes
Autor:
Small, Dylan S., Firth, Dan, Keele, Luke, Huber, Matthew, Passarella, Molly, Lorch, Scott, Burris, Heather
Surface mining has become a major method of coal mining in Central Appalachia alongside the traditional underground mining. Concerns have been raised about the health effects of this surface mining, particularly mountaintop removal mining where coal
Externí odkaz:
http://arxiv.org/abs/2005.01873
Robins 1997 introduced marginal structural models (MSMs), a general class of counterfactual models for the joint effects of time-varying treatment regimes in complex longitudinal studies subject to time-varying confounding. In his work, identificatio
Externí odkaz:
http://arxiv.org/abs/2004.11769
Instrumental variables (IVs) are extensively used to estimate treatment effects when the treatment and outcome are confounded by unmeasured confounders; however, weak IVs are often encountered in empirical studies and may cause problems. Many studies
Externí odkaz:
http://arxiv.org/abs/1911.09171
Two problems that arise in making causal inferences for non-mortality outcomes such as bronchopulmonary dysplasia (BPD) are unmeasured confounding and censoring by death, i.e., the outcome is only observed when subjects survive. In randomized experim
Externí odkaz:
http://arxiv.org/abs/1802.06711
Instrumental variables are commonly used to estimate effects of a treatment afflicted by unmeasured confounding, and in practice instruments are often continuous (e.g., measures of distance, or treatment preference). However, available methods for co
Externí odkaz:
http://arxiv.org/abs/1607.02566
Publikováno v:
Statistics in Medicine 2014, Volume 33, Issue 20, Pages 3528-3546
An important concern in an observational study is whether or not there is unmeasured confounding, i.e., unmeasured ways in which the treatment and control groups differ before treatment that affect the outcome. We develop a test of whether there is u
Externí odkaz:
http://arxiv.org/abs/1601.06288
The instrumental variables (IV) method is a method for making causal inferences about the effect of a treatment based on an observational study in which there are unmeasured confounding variables. The method requires a valid IV, a variable that is in
Externí odkaz:
http://arxiv.org/abs/1407.7308
Publikováno v:
Annals of Applied Statistics 2014, Vol. 8, No. 1, 48-73
Understanding how effective high-level NICUs (neonatal intensive care units that have the capacity for sustained mechanical assisted ventilation and high volume) are compared to low-level NICUs is important and valuable for both individual mothers an
Externí odkaz:
http://arxiv.org/abs/1404.2477
Publikováno v:
Annals of Applied Statistics 2013, Vol. 7, No. 1, 25-50
In an optimal nonbipartite match, a single population is divided into matched pairs to minimize a total distance within matched pairs. Nonbipartite matching has been used to strengthen instrumental variables in observational studies of treatment effe
Externí odkaz:
http://arxiv.org/abs/1304.4066