Bayesian Modeling and Causal Inference
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Latest in Bayesian Modeling and Causal Inference
Newest first · last 60 days
Causal effect transportability enables valid transfer of ecological causal findings across different environments, improving estimates when replication is limited, as shown in simulations and real data.
- Open access
- 1 cites
Humans prefer simpler explanations for uncertain data, aligning with formal model selection theories that penalize complexity, with a significant influence on decision-making.
- Open access
- 21 cites
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Journals this month
- bioRxiv6192
- medRxiv1716
- PNAS472
- Sci Adv398
- JAMA274
- Environ Res230
- BMJ200
- Nat Commun171
- Environ Pollution165
- Nature161
- NEJM146
- Science141
- Lancet132
- Cell Rep130
- Curr Biol108
- J Exp Bot108
- mBio107
- Plant Cell Environ107
Topics moving, week to 23 Oct 2026
- Single-cell and spatial transcriptomics6
- Neuroinflammation and Neurodegeneration Mechanisms5
- Bacteriophages and microbial interactions5
- Gut microbiota and health5
- Genomics and Phylogenetic Studies4
- Cancer Genomics and Diagnostics4
- Cancer Immunotherapy and Biomarkers4
- Alzheimer's disease research and treatments3
- Inflammatory Bowel Disease3
- Influenza Virus Research Studies3