Sarah E. Robertson

471 total citations
18 papers, 222 citations indexed

About

Sarah E. Robertson is a scholar working on Statistics and Probability, Infectious Diseases and General Health Professions. According to data from OpenAlex, Sarah E. Robertson has authored 18 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 3 papers in Infectious Diseases and 3 papers in General Health Professions. Recurrent topics in Sarah E. Robertson's work include Advanced Causal Inference Techniques (10 papers), Statistical Methods and Inference (9 papers) and Statistical Methods and Bayesian Inference (8 papers). Sarah E. Robertson is often cited by papers focused on Advanced Causal Inference Techniques (10 papers), Statistical Methods and Inference (9 papers) and Statistical Methods and Bayesian Inference (8 papers). Sarah E. Robertson collaborates with scholars based in United States and Bangladesh. Sarah E. Robertson's co-authors include Issa J Dahabreh, Miguel A. Hernán, Jon A. Steingrimsson, Lucia C. Petito, Nur Alam, Sabiha Nasrin, Adam C. Levine, Christopher H. Schmid, Elizabeth A. Stuart and Alyson J. McGregor and has published in prestigious journals such as American Journal of Epidemiology, Biometrics and PLoS Medicine.

In The Last Decade

Sarah E. Robertson

17 papers receiving 213 citations

Peers

Sarah E. Robertson

GHP

Harlan Campbell Canada

Antonio Paredes United States

Joshua Schwab United States

Kelsey L. Grantham Australia

Benjamin Hart United States

K. Ellicott Colson United States

Julia Stadelmaier Germany

Bryan S. Blette United States

Batoul Diab Lebanon

Ekopimo Ibia United States

Harlan Campbell Canada

Sarah E. Robertson

32 ×0.3

29 ×0.6

35 ×1.0

19 ×0.6

29 ×1.2

GHP

Citations per year, relative to Sarah E. Robertson Sarah E. Robertson (= 1×) peers Harlan Campbell

Countries citing papers authored by Sarah E. Robertson

Since Specialization

Citations

This map shows the geographic impact of Sarah E. Robertson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sarah E. Robertson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah E. Robertson more than expected).

Fields of papers citing papers by Sarah E. Robertson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah E. Robertson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sarah E. Robertson. The network helps show where Sarah E. Robertson may publish in the future.

Co-authorship network of co-authors of Sarah E. Robertson

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah E. Robertson. A scholar is included among the top collaborators of Sarah E. Robertson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarah E. Robertson. Sarah E. Robertson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Robertson, Sarah E., Nina R. Joyce, Jon A. Steingrimsson, et al.. (2024). Comparing Lung Cancer Screening Strategies in a Nationally Representative US Population Using Transportability Methods for the National Lung Cancer Screening Trial. JAMA Network Open. 7(1). e2346295–e2346295. 7 indexed citations

Steingrimsson, Jon A., et al.. (2024). Sensitivity analysis for studies transporting prediction models. Biometrics. 80(4).

Robertson, Sarah E., Jon A. Steingrimsson, & Issa J Dahabreh. (2024). Cluster Randomized Trials Designed to Support Generalizable Inferences. Evaluation Review. 48(6). 1088–1114. 2 indexed citations

Dahabreh, Issa J, Sarah E. Robertson, & Jon A. Steingrimsson. (2024). Learning about treatment effects in a new target population under transportability assumptions for relative effect measures. European Journal of Epidemiology. 39(9). 957–965. 5 indexed citations

Dahabreh, Issa J, James M. Robins, Sebastien Haneuse, et al.. (2023). Sensitivity analysis using bias functions for studies extending inferences from a randomized trial to a target population. Statistics in Medicine. 42(13). 2029–2043. 16 indexed citations

Robertson, Sarah E., Jon A. Steingrimsson, & Issa J Dahabreh. (2023). Regression-based estimation of heterogeneous treatment effects when extending inferences from a randomized trial to a target population. European Journal of Epidemiology. 38(2). 123–133. 6 indexed citations

Joyce, Nina R., Sarah E. Robertson, Ellen McCreedy, et al.. (2023). Assessing the representativeness of cluster randomized trials: Evidence from two large pragmatic trials in United States nursing homes. Clinical Trials. 20(6). 613–623. 2 indexed citations

Aggarwal, Rahul, Robert W. Yeh, Issa J Dahabreh, Sarah E. Robertson, & Rishi K. Wadhera. (2022). Medicare eligibility and healthcare access, affordability, and financial strain for low- and higher-income adults in the United States: A regression discontinuity analysis. PLoS Medicine. 19(10). e1004083–e1004083. 13 indexed citations

Dahabreh, Issa J, Sarah E. Robertson, Lucia C. Petito, Miguel A. Hernán, & Jon A. Steingrimsson. (2022). Efficient and Robust Methods for Causally Interpretable Meta-Analysis: Transporting Inferences from Multiple Randomized Trials to a Target Population. Biometrics. 79(2). 1057–1072. 22 indexed citations

10.

Robertson, Sarah E., Jon A. Steingrimsson, & Issa J Dahabreh. (2021). Using Numerical Methods to Design Simulations: Revisiting the Balancing Intercept. American Journal of Epidemiology. 191(7). 1283–1289. 3 indexed citations

11.

Dahabreh, Issa J, Lucia C. Petito, Sarah E. Robertson, Miguel A. Hernán, & Jon A. Steingrimsson. (2020). Toward Causally Interpretable Meta-analysis. Epidemiology. 31(3). 334–344. 50 indexed citations

12.

Robertson, Sarah E., et al.. (2020). Assessing Heterogeneity of Treatment Effects in Observational Studies. American Journal of Epidemiology. 190(6). 1088–1100. 12 indexed citations

13.

Dahabreh, Issa J, Sarah E. Robertson, & Miguel A. Hernán. (2019). On the Relation Between G-formula and Inverse Probability Weighting Estimators for Generalizing Trial Results. Epidemiology. 30(6). 807–812. 22 indexed citations

14.

Jarman, Angela F., Sarah E. Robertson, Sabiha Nasrin, et al.. (2018). Sex and Gender Differences in Acute Pediatric Diarrhea: A Secondary Analysis of the DHAKA Study. Journal of Epidemiology and Global Health. 8(1-2). 42–42. 25 indexed citations

15.

Koeller, Eva, Sarah E. Robertson, Stephanie C. Garbern, et al.. (2018). Ultrasound Adds No Benefit to Clinical Exam for Predicting Dehydration in Children With Acute Diarrhea in a Resource‐Limited Setting. Journal of Ultrasound in Medicine. 38(3). 685–693. 7 indexed citations

16.

Sharma, Rashmi, et al.. (2017). The Effects of Malnutrition and Diarrhea Type on the Accuracy of Clinical Signs of Dehydration in Children under Five: A Prospective Cohort Study in Bangladesh. American Journal of Tropical Medicine and Hygiene. 97(5). 1345–1354. 3 indexed citations

17.

Dahabreh, Issa J, Sarah E. Robertson, Elizabeth A. Stuart, & Miguel A. Hernán. (2017). Extending inferences from randomized participants to all eligible individuals using trials nested within cohort studies. 1 indexed citations

18.

Levine, Adam C., Justin Glavis‐Bloom, Payal Modi, et al.. (2016). External validation of the DHAKA score and comparison with the current IMCI algorithm for the assessment of dehydration in children with diarrhoea: a prospective cohort study. The Lancet Global Health. 4(10). e744–e751. 26 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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