Results 91 to 100 of about 1,076,580 (347)
Physical and Metaphysical Counterfactuals: Evaluating Disjunctive Actions
Journal of Causal Inference, 2017 The structural interpretation of counterfactuals as formulated in Balke and Pearl (1994a,b) [1, 2] excludes disjunctive conditionals, such as “had X$X$ been x1 or x2$x_1~\mbox{or}~x_2$,” as well as disjunctive actions such as do(X=x1 or X=x2)$do(X=x_1 ...
Pearl Judea
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Strength through diversity: how cancers thrive when clones cooperate
Molecular Oncology, EarlyView.Intratumor heterogeneity can offer direct benefits to the tumor through cooperation between different clones. In this review, Kuiken et al. discuss existing evidence for clonal cooperativity to identify overarching principles, and highlight how novel technological developments could address remaining open questions.
Marije C. Kuiken +3 more
wiley +1 more source
Bayesian Inference of Causal Effects for an Ordinal Outcome in Randomized Trials
Journal of Causal Inference, 2018 In randomized trials in which two treatment arms are compared with a binary outcome, the causal effect can be identified by assuming that the two treatment arms are exchangeable.
Chiba Yasutaka
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The seven tools of causal inference, with reflections on machine learning
Communications of the ACM, 2019 The kind of causal inference seen in natural human thought can be "algorithmitized" to help produce human-level machine intelligence.
J. Pearl
semanticscholar +1 more source
Molecular Oncology, EarlyView.Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Confounding Equivalence in Causal Inference
Journal of Causal Inference, 2014 The paper provides a simple test for deciding, from a given causal diagram, whether two sets of variables have the same bias-reducing potential under adjustment.
Pearl Judea, Paz Azaria
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Unraveling the relationship of loneliness and isolation in schizophrenia: Polygenic dissection and causal inference [PDF]
, 2020 Álvaro Andreu-Bernabeu +19 more
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Effective therapeutic targeting of CTNNB1‐mutant hepatoblastoma with WNTinib
Molecular Oncology, EarlyView.WNTinib, a Wnt/CTNNB1 inhibitor, was tested in hepatoblastoma (HB) experimental models. It delayed tumor growth and improved survival in CTNNB1‐mutant in vivo models. In organoids, WNTinib outperformed cisplatin and showed enhanced efficacy in combination therapy, supporting its potential as a targeted treatment for CTNNB1‐mutated HB.
Ugne Balaseviciute +17 more
wiley +1 more source
A Conditional Randomization Test to Account for Covariate Imbalance in Randomized Experiments
Journal of Causal Inference, 2016 We consider the conditional randomization test as a way to account for covariate imbalance in randomized experiments. The test accounts for covariate imbalance by comparing the observed test statistic to the null distribution of the test statistic ...
Hennessy Jonathan +4 more
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