Tra My Pham

1.7k total citations · 1 hit paper
23 papers, 952 citations indexed

About

Tra My Pham is a scholar working on Statistics and Probability, General Health Professions and Oncology. According to data from OpenAlex, Tra My Pham has authored 23 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 5 papers in General Health Professions and 4 papers in Oncology. Recurrent topics in Tra My Pham's work include Statistical Methods in Clinical Trials (8 papers), Advanced Causal Inference Techniques (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Tra My Pham is often cited by papers focused on Statistical Methods in Clinical Trials (8 papers), Advanced Causal Inference Techniques (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Tra My Pham collaborates with scholars based in United Kingdom, Denmark and Australia. Tra My Pham's co-authors include Irene Petersen, Ellen M. Mikkelsen, Lars Pedersen, Deirdre Cronin‐Fenton, Alma B Pedersen, Nickolaj Risbo Kristensen, Tim P. Morris, James R. Carpenter, Kate Walters and Manuj Sharma and has published in prestigious journals such as Scientific Reports, PLoS Medicine and International Journal of Epidemiology.

In The Last Decade

Tra My Pham

22 papers receiving 944 citations

Hit Papers

Missing data and multiple imputation in clinical epidemio... 2017 2026 2020 2023 2017 200 400 600

Peers

Tra My Pham
Roee Gutman United States
Kellyn F Arnold United Kingdom
Odile Sauzet Germany
Claire Keeble United Kingdom
K. J. Lee Australia
Roy Pardee United States
Roee Gutman United States
Tra My Pham
Citations per year, relative to Tra My Pham Tra My Pham (= 1×) peers Roee Gutman

Countries citing papers authored by Tra My Pham

Since Specialization
Citations

This map shows the geographic impact of Tra My Pham'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 Tra My Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tra My Pham more than expected).

Fields of papers citing papers by Tra My Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tra My Pham. 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 Tra My Pham. The network helps show where Tra My Pham may publish in the future.

Co-authorship network of co-authors of Tra My Pham

This figure shows the co-authorship network connecting the top 25 collaborators of Tra My Pham. A scholar is included among the top collaborators of Tra My Pham 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 Tra My Pham. Tra My Pham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pham, Tra My, et al.. (2025). Estimating treatment effects in trials with outcome data truncated by death: A case study on aligning estimators with estimands. Clinical Trials. 22(6). 676–686. 1 indexed citations
2.
Pham, Tra My, Angela M. Crook, Katie Rolfe, et al.. (2025). Designing a response-over-continuous-intervention (ROCI) randomised trial: Implementation in the Phase 2C part (duration ranging) of the PARADIGM4TB trial. Contemporary Clinical Trials. 155. 108002–108002.
3.
Pham, Tra My, Nikolaos Pandis, & Ian R. White. (2024). Missing data: Issues, concepts, methods. Seminars in Orthodontics. 30(1). 37–44. 6 indexed citations
4.
Morris, Tim P., Maarten van Smeden, & Tra My Pham. (2023). The marginality principle revisited: Should “higher‐order” terms always be accompanied by “lower‐order” terms in regression analyses?. Biometrical Journal. 65(8). e2300069–e2300069. 2 indexed citations
5.
White, Ian R., Tra My Pham, Matteo Quartagno, & Tim P. Morris. (2023). How to check a simulation study. International Journal of Epidemiology. 53(1). 9 indexed citations
6.
Parker, Richard, Christopher J. Weir, Tra My Pham, et al.. (2023). Statistical analysis plan for the motor neuron disease systematic multi-arm adaptive randomised trial (MND-SMART). Trials. 24(1). 29–29. 1 indexed citations
7.
Pham, Tra My, Conor Tweed, James R. Carpenter, et al.. (2022). Rethinking intercurrent events in defining estimands for tuberculosis trials. Clinical Trials. 19(5). 522–533. 9 indexed citations
8.
Herbert, Annie, Meena Rafiq, Tra My Pham, et al.. (2021). Predictive values for different cancers and inflammatory bowel disease of 6 common abdominal symptoms among more than 1.9 million primary care patients in the UK: A cohort study. PLoS Medicine. 18(8). e1003708–e1003708. 16 indexed citations
9.
Bazo‐Alvarez, Juan Carlos, Kingshuk Pal, Tra My Pham, et al.. (2021). Cardiovascular outcomes of type 2 diabetic patients treated with DPP‑4 inhibitors versus sulphonylureas as add-on to metformin in clinical practice. Scientific Reports. 11(1). 23826–23826. 3 indexed citations
10.
Pham, Tra My, Ian R. White, Brennan C Kahan, et al.. (2021). A comparison of methods for analyzing a binary composite endpoint with partially observed components in randomized controlled trials. Statistics in Medicine. 40(29). 6634–6650. 2 indexed citations
11.
Bazo‐Alvarez, Juan Carlos, Tim P. Morris, Tra My Pham, James R. Carpenter, & Irene Petersen. (2020). <p>Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data</p>. Clinical Epidemiology. Volume 12. 1045–1057. 9 indexed citations
12.
Kahan, Brennan C, Tim P. Morris, Ian R. White, et al.. (2020). Treatment estimands in clinical trials of patients hospitalised for COVID-19: ensuring trials ask the right questions. BMC Medicine. 18(1). 286–286. 22 indexed citations
13.
Petersen, Irene, Catherine Welch, Irwin Nazareth, et al.. (2019). <p>Health indicator recording in UK primary care electronic health records: key implications for handling missing data</p>. Clinical Epidemiology. Volume 11. 157–167. 40 indexed citations
15.
Pham, Tra My, et al.. (2019). Predictors of Postal or Online Response Mode and Associations With Patient Experience and Satisfaction in the English Cancer Patient Experience Survey. Journal of Medical Internet Research. 21(5). e11855–e11855. 7 indexed citations
16.
Pham, Tra My, James R. Carpenter, Tim P. Morris, Manuj Sharma, & Irene Petersen. (2019). <p>Ethnic Differences in the Prevalence of Type 2 Diabetes Diagnoses in the UK: Cross-Sectional Analysis of the Health Improvement Network Primary Care Database</p>. Clinical Epidemiology. Volume 11. 1081–1088. 79 indexed citations
17.
Pham, Tra My, Irene Petersen, Kate Walters, et al.. (2018). Trends in dementia diagnosis rates in UK ethnic groups: analysis of UK primary care data. Clinical Epidemiology. Volume 10. 949–960. 84 indexed citations
18.
Pham, Tra My, James R. Carpenter, Tim P. Morris, Angela Wood, & Irene Petersen. (2018). Population-calibrated multiple imputation for a binary/categorical covariate in categorical regression models.. Apollo (University of Cambridge). 18 indexed citations
19.
Pedersen, Alma B, Ellen M. Mikkelsen, Deirdre Cronin‐Fenton, et al.. (2017). Missing data and multiple imputation in clinical epidemiological research. Clinical Epidemiology. Volume 9. 157–166. 608 indexed citations breakdown →
20.
Pham, Tra My, Irene Petersen, James R. Carpenter, & Tim P. Morris. (2017). Weighted multiple imputation of ethnicity data that are missing not at random in primary care databases. International Journal for Population Data Science. 1(1). 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026