Regression-based proximal causal inference
Negative controls are increasingly used to evaluate the presence of potential unmeasured
confounding in observational studies. Beyond the use of negative controls to detect the …
confounding in observational studies. Beyond the use of negative controls to detect the …
Reinforcement learning in modern biostatistics: constructing optimal adaptive interventions
N Deliu, JJ Williams… - International Statistical …, 2024 - Wiley Online Library
In recent years, reinforcement learning (RL) has acquired a prominent position in health‐
related sequential decision‐making problems, gaining traction as a valuable tool for …
related sequential decision‐making problems, gaining traction as a valuable tool for …
Toward a clearer understanding of what works to reduce gun violence: the role of falsification strategies
SA Swanson, M Miller - American journal of epidemiology, 2024 - academic.oup.com
Strong epidemiologic evidence from ecologic and individual-level studies in the United
States supports the claim that access to firearms substantially increases the risk of dying by …
States supports the claim that access to firearms substantially increases the risk of dying by …
Transportability without positivity: a synthesis of statistical and simulation modeling
Studies designed to estimate the effect of an action in a randomized or observational setting
often do not represent a random sample of the desired target population. Instead, estimates …
often do not represent a random sample of the desired target population. Instead, estimates …
A method of moments approach to asymptotically unbiased Synthetic Controls
J Fry - Journal of Econometrics, 2024 - Elsevier
A common approach to constructing a Synthetic Control unit is to fit on the outcome variable
and covariates in pre-treatment time periods, but it has been shown by Ferman and Pinto …
and covariates in pre-treatment time periods, but it has been shown by Ferman and Pinto …
Confounding and interaction
N Pearce, S Greenland - Handbook of epidemiology, 2024 - Springer
Confounding occurs when the subpopulations of the source population being compared
would have different outcomes over the risk period under study, even if they were subject to …
would have different outcomes over the risk period under study, even if they were subject to …
Sensitivity analysis and bias analysis
S Greenland - Handbook of epidemiology, 2024 - Springer
Methodological shortcomings of studies can lead to bias, in the sense of systematic (non-
random) distortion of estimates from the studies. Among well-recognized bias sources are …
random) distortion of estimates from the studies. Among well-recognized bias sources are …
Bridged treatment comparisons: an illustrative application in HIV treatment
Comparisons of treatments, interventions, or exposures are of central interest in
epidemiology, but direct comparisons are not always possible due to practical or ethical …
epidemiology, but direct comparisons are not always possible due to practical or ethical …
Paradigm lost? Paradigm regained? Comment on “A New Paradigm for Polling” by Michael A. Bailey
W Dempsey - 2023 - hdsr.mitpress.mit.edu
With ever-decreasing participation and response rates, a question for polling and survey
statistics more broadly has been the central role of random sampling to ensure external …
statistics more broadly has been the central role of random sampling to ensure external …