Antonio Gasparrini

Health, Toxicology and Mutagenesis · 2010–2021

A researcher in the Science corpus: 15 papers; trusts 19 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Health, Toxicology and Mutagenesis — 52 citations into it; #459 of 1,398 by trust here, #189 by citations
• Statistics and Probability — 43 citations into it; #11,831 of 12,932 by trust here, #5,857 by citations
• Critical Care and Intensive Care Medicine — 20 citations into it
• Economics and Econometrics — 14 citations into it; #20,751 of 23,481 by trust here, #18,597 by citations
• Environmental Engineering — 13 citations into it; #3,410 of 5,479 by trust here, #2,609 by citations
• Physiology — 13 citations into it
• Management Science and Operations Research — 7 citations into it
• Transportation — 7 citations into it

Whom Antonio Gasparrini trusts overall

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

1. Ben Armstrong
2. Jasmine Schwartz
3. Alan Y. Chiang
4. Dan Jackson
5. Brooke G. Anderson
6. Francesca Dominici
7. Michael G. Kenward
8. Ian R. White
9. Michelle L. Bell
10. Eric R. Ziegel

Who trusts Antonio Gasparrini overall

1. Ben Armstrong
2. M. Leone
3. James Lopez Bernal
4. Martin Karlsson
5. Nicholas A. S. Hamm
6. Yuming Guo
7. S. Cummins
8. Anant Sudarshan
9. N. Matzke

Papers from Antonio Gasparrini's perspective

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

1. Multivariate meta-analysis: Potential and promise (Statistics in Medicine)
2. Mixed-Effects Models in S and S-Plus
3. Linear Mixed Models for Longitudinal Data (Technometrics)
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. Distributed Lag Linear and Non-Linear Models in R: The Package dlnm (Journal of Statistical Software)
10. Tutorial in biostatistics: the self‐controlled case series method (Statistics in Medicine)

Their papers

• Interrupted time series regression for the evaluation of public health interventions: a tutorial (2016) — 3,054 citations
• 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
• Ambient Particulate Air Pollution and Daily Mortality in 652 Cities (2019) — 1,256 citations
• The use of controls in interrupted time series studies of public health interventions. (2018) — 454 citations
• Projections of temperature-related excess mortality under climate change scenarios (2017) — 715 citations
• Mortality risk attributable to high and low ambient temperature: a multicountry observational study (2015) — 1,543 citations
• Conditional Poisson models: a flexible alternative to conditional logistic case cross-over analysis (2014) — 394 citations
• Attributable risk from distributed lag models (2014) — 709 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
• Modeling exposure–lag–response associations with distributed lag non-linear models (2013) — 745 citations
• Multivariate meta-analysis for non-linear and other multi-parameter associations (2012) — 481 citations
• Distributed Lag Linear and Non-Linear Models in R: The Package dlnm (2011) — 763 citations
• Distributed lag non-linear models (2010) — 2,126 citations