Introduction to computational causal inference using reproducible Stata, R, and Python code: a tutorial
MJ Smith, MA Mansournia, C Maringe… - Statistics in …, 2022 - Wiley Online Library
The main purpose of many medical studies is to estimate the effects of a treatment or
exposure on an outcome. However, it is not always possible to randomize the study …
exposure on an outcome. However, it is not always possible to randomize the study …
[HTML][HTML] Application of targeted maximum likelihood estimation in public health and epidemiological studies: a systematic review
Purpose The targeted maximum likelihood estimation (TMLE) statistical data analysis
framework integrates machine learning, statistical theory, and statistical inference to provide …
framework integrates machine learning, statistical theory, and statistical inference to provide …
Challenges in obtaining valid causal effect estimates with machine learning algorithms
Unlike parametric regression, machine learning (ML) methods do not generally require
precise knowledge of the true data-generating mechanisms. As such, numerous authors …
precise knowledge of the true data-generating mechanisms. As such, numerous authors …
AIPW: An R Package for Augmented Inverse Probability–Weighted Estimation of Average Causal Effects
An increasing number of recent studies have suggested that doubly robust estimators with
cross-fitting should be used when estimating causal effects with machine learning methods …
cross-fitting should be used when estimating causal effects with machine learning methods …
Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach
Assisted reproductive technologies (ART) are increasingly used, however little is known
about the long-term health of ART-conceived offspring. Weak selection of comparison …
about the long-term health of ART-conceived offspring. Weak selection of comparison …
Bladder cancer radiation oncology of the future: prognostic modelling, radiomics, and treatment planning with artificial intelligence
Machine learning (ML) and artificial intelligence (AI) have demonstrated potential to improve
the care of radiation oncology patients. Here we review recent advances applicable to the …
the care of radiation oncology patients. Here we review recent advances applicable to the …
Don't Let Your Analysis Go to Seed: On the Impact of Random Seed on Machine Learning-based Causal Inference
L Schader, W Song, R Kempker, D Benkeser - Epidemiology, 2024 - journals.lww.com
Epidemiology Log in or Register Subscribe to journalSubscribe Get new issue alertsGet alerts
Secondary Logo Journal Logo Advanced Search Toggle navigation Subscribe Register Login …
Secondary Logo Journal Logo Advanced Search Toggle navigation Subscribe Register Login …
Machine learning for improving high‐dimensional proxy confounder adjustment in healthcare database studies: An overview of the current literature
Purpose Supplementing investigator‐specified variables with large numbers of empirically
identified features that collectively serve as 'proxies' for unspecified or unmeasured factors …
identified features that collectively serve as 'proxies' for unspecified or unmeasured factors …
[HTML][HTML] Is the association between fruits and vegetables and preeclampsia due to higher dietary vitamin C and carotenoid intakes?
LM Bodnar, SI Kirkpatrick, JM Roberts… - The American Journal of …, 2023 - Elsevier
Background Diets dense in fruits and vegetables are associated with a reduced risk of
preeclampsia, but pathways underlying this relationship are unclear. Dietary antioxidants …
preeclampsia, but pathways underlying this relationship are unclear. Dietary antioxidants …
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 …