Results 101 to 110 of about 4,711 (207)
Abstract Irregular observation times are common in longitudinal observational studies and can affect causal inferences. We use data from electronic health records of Kaiser Permanente Washington patients in the United States who initiated an antidepressant medication between 2008 and 2018, with a confirming diagnosis of depression. We are interested in
Janie Coulombe +2 more
wiley +1 more source
Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology. [PDF]
Žigutytė L +18 more
europepmc +1 more source
Model selection for causal inference in missing exposure problems
Abstract In causal inference, properly selecting the propensity score (PS) model is an important topic and has been widely investigated in observational studies. However, there are very few studies investigating the model selection issue for causal inference when the exposure is missing at random (MAR). When the exposure variable contains missing data,
Yuliang Shi, Yeying Zhu, Joel A. Dubin
wiley +1 more source
Integrating Anatomical Priors Into a Causal Diffusion Model. [PDF]
Li B, Peng W, Li M, Adeli E, Pohl KM.
europepmc +1 more source
Exposure–response (E–R) analyses of sunitinib in metastatic renal cell carcinoma (mRCC) have supported concentration‐guided dose escalation. However, such analyses may be biased when exposure metrics incorporate post‐baseline dose modifications, time‐varying apparent clearance, or baseline factors that influence both pharmacokinetics and clinical ...
Han Liu, Lena E. Friberg
wiley +1 more source
The Challenges of Hyperparameter Tuning for Accurate Causal Effect Estimation. [PDF]
Machlanski D, Samothrakis S, Clarke P.
europepmc +1 more source
Pain is a key determinant of quality‐of‐life following breast cancer surgery, the most common cancer operation in the United States. Gabapentinoids are frequently prescribed for pain management, yet their respiratory, cardiovascular, and opioid‐related adverse effects remain unclear.
Jyun‐Heng Lai +12 more
wiley +1 more source
Cross-Model Explainability Consistency in Hepatitis C Stage Classification: A SHAP, LIME, and Counterfactual Analysis Across Five Machine Learning Architectures. [PDF]
Alalawi K.
europepmc +1 more source
ABSTRACT The increasing salience of climate change has intensified attention to the roe of ESG ratings in shaping firms' green innovation. We examine the link between ESG performance and green innovation, highlighting the role of participation in global innovation networks.
Miaomiao Tao +3 more
wiley +1 more source
Chaotic and complex dynamics expose the limits of counterfactual reasoning. [PDF]
Aalaila Y +4 more
europepmc +1 more source

