Ben Armstrong

Health, Toxicology and Mutagenesis · 2004–2021

A researcher in the Science corpus: 12 papers; trusts 15 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Health, Toxicology and Mutagenesis — 41 citations into it; #133 of 1,398 by trust here, #126 by citations
• Statistics and Probability — 33 citations into it
• Physiology — 17 citations into it
• Critical Care and Intensive Care Medicine — 13 citations into it; #7 of 82 by trust here, #27 by citations
• Economics and Econometrics — 11 citations into it
• Environmental Engineering — 10 citations into it; #2,215 of 5,479 by trust here, #2,998 by citations
• Transportation — 8 citations into it
• Artificial Intelligence — 6 citations into it

Whom Ben Armstrong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Antonio Gasparrini
2. Jasmine Schwartz
3. Dan Jackson
4. Brooke G. Anderson
5. Francesca Dominici
6. Alan Y. Chiang
7. Heather J. Whitaker
8. Ian R. White
9. Michelle L. Bell
10. J. Samet

Who trusts Ben Armstrong overall

1. Antonio Gasparrini
2. Brooke G. Anderson
3. Michael G. Kenward
4. Michelle L. Bell
5. M. Leone
6. R. Kovats

Papers from Ben Armstrong's perspective

Ordered by how strongly the researchers Ben Armstrong trusts endorse each paper. Same corpus, a different order for every researcher.

1. Multivariate meta-analysis: Potential and promise (Statistics in Medicine)
2. Linear Mixed Models for Longitudinal Data (Technometrics)
3. Mixed-Effects Models in S and S-Plus
4. Linear Mixed Models for Longitudinal Data
5. Low‐Rank Scale‐Invariant Tensor Product Smooths for Generalized Additive Mixed Models (Biometrics)
6. Analysis of health outcome time series data in epidemiological studies
7. A comparative study of the use of GAM and GLM in air pollution research
8. Adjustment uncertainty in effect estimation
9. Tutorial in biostatistics: the self‐controlled case series method (Statistics in Medicine)
10. Distributed Lag Linear and Non-Linear Models in R: The Package dlnm (Journal of Statistical Software)

Their papers

• The burden of heat-related mortality attributable to recent human-induced climate change (2021) — 934 citations
• Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling study. (2021) — 644 citations
• Projections of temperature-related excess mortality under climate change scenarios (2017) — 715 citations
• Conditional Poisson models: a flexible alternative to conditional logistic case cross-over analysis (2014) — 394 citations
• Reducing and meta-analysing estimates from distributed lag non-linear models (2013) — 863 citations
• Time series regression studies in environmental epidemiology (2013) — 1,091 citations
• Multivariate meta-analysis for non-linear and other multi-parameter associations (2012) — 481 citations
• Distributed lag non-linear models (2010) — 2,126 citations
• Public health benefits of strategies to reduce greenhouse-gas emissions: urban land transport. (2009) — 1,114 citations
• International study of temperature, heat and urban mortality: the 'ISOTHURM' project. (2008) — 630 citations
• Models for the Relationship Between Ambient Temperature and Daily Mortality (2006) — 601 citations
• Lung Cancer Risk after Exposure to Polycyclic Aromatic Hydrocarbons: A Review and Meta-Analysis (2004) — 610 citations