Menglan Pang

529 total citations
22 papers, 299 citations indexed

About

Menglan Pang is a scholar working on Statistics and Probability, Economics and Econometrics and Physiology. According to data from OpenAlex, Menglan Pang has authored 22 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 9 papers in Economics and Econometrics and 4 papers in Physiology. Recurrent topics in Menglan Pang's work include Advanced Causal Inference Techniques (9 papers), Statistical Methods and Inference (9 papers) and Health Systems, Economic Evaluations, Quality of Life (8 papers). Menglan Pang is often cited by papers focused on Advanced Causal Inference Techniques (9 papers), Statistical Methods and Inference (9 papers) and Health Systems, Economic Evaluations, Quality of Life (8 papers). Menglan Pang collaborates with scholars based in Canada, United States and United Kingdom. Menglan Pang's co-authors include Robert W. Platt, Jay S. Kaufman, Tibor Schuster, Mohammad Ehsanul Karim, Ian Shrier, Kristian B. Filion, Michał Abrahamowicz, María Eberg, Mireille E. Schnitzer and Carl de Moor and has published in prestigious journals such as American Journal of Epidemiology, Journal of Clinical Epidemiology and Statistics in Medicine.

In The Last Decade

Menglan Pang

21 papers receiving 295 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Menglan Pang Canada 12 149 77 32 25 23 22 299
Willem Woertman Netherlands 6 86 0.6× 81 1.1× 40 1.3× 32 1.3× 65 2.8× 10 355
Nicolás Ballarini Austria 10 66 0.4× 36 0.5× 23 0.7× 43 1.7× 27 1.2× 22 272
Bohdana Ratitch United States 13 406 2.7× 184 2.4× 16 0.5× 34 1.4× 19 0.8× 28 614
Michael O’Kelly United States 13 355 2.4× 180 2.3× 13 0.4× 48 1.9× 18 0.8× 27 548
Bain United Kingdom 4 44 0.3× 108 1.4× 22 0.7× 56 2.2× 65 2.8× 5 423
Jane Candlish United Kingdom 6 24 0.2× 18 0.2× 32 1.0× 17 0.7× 16 0.7× 6 208
Pamela Tenaerts United States 8 28 0.2× 96 1.2× 22 0.7× 40 1.6× 94 4.1× 18 363
Samuel Lendle United States 9 149 1.0× 74 1.0× 24 0.8× 2 0.1× 28 1.2× 14 365
Takashi Funatogawa Japan 10 59 0.4× 10 0.1× 19 0.6× 8 0.3× 33 1.4× 26 305
Pathma D. Joseph Australia 7 19 0.1× 70 0.9× 8 0.3× 29 1.2× 59 2.6× 8 453

Countries citing papers authored by Menglan Pang

Since Specialization
Citations

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

Fields of papers citing papers by Menglan Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Menglan Pang. 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 Menglan Pang. The network helps show where Menglan Pang may publish in the future.

Co-authorship network of co-authors of Menglan Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Menglan Pang. A scholar is included among the top collaborators of Menglan Pang 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 Menglan Pang. Menglan Pang 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.
2.
Pellegrini, Fabio, Menglan Pang, Carl de Moor, et al.. (2025). Bootstrapping the cross-validation estimate. The Annals of Applied Statistics. 19(4). 1 indexed citations
3.
Pang, Menglan, et al.. (2024). Non-collapsibility and built-in selection bias of period-specific and conventional hazard ratio in randomized controlled trials. BMC Medical Research Methodology. 24(1). 292–292. 2 indexed citations
4.
Hersh, Carrie M., Menglan Pang, Deborah Miller, et al.. (2024). Comparison of time to clinically meaningful improvement in quality of life in neurological disorders in patients treated with natalizumab versus ocrelizumab. Neurodegenerative Disease Management. 14(2). 21–33. 3 indexed citations
5.
Pang, Menglan, Audrey Gabelle, Paramita Saha‐Chaudhuri, et al.. (2023). Precision medicine analysis of heterogeneity in individual‐level treatment response to amyloid beta removal in early Alzheimer's disease. Alzheimer s & Dementia. 20(2). 1102–1111. 14 indexed citations
6.
Pang, Herbert, Jiawen Zhu, Hans‐Joachim Helms, et al.. (2023). Evaluating hybrid controls methodology in early‐phase oncology trials: A simulation study based on the MORPHEUS‐UC trial. Pharmaceutical Statistics. 23(1). 31–45. 4 indexed citations
7.
8.
Pang, Menglan, Ling Zhu, Audrey Gabelle, et al.. (2022). Effect of reduction in brain amyloid levels on change in cognitive and functional decline in randomized clinical trials: An instrumental variable meta‐analysis. Alzheimer s & Dementia. 19(4). 1292–1299. 15 indexed citations
9.
Hersh, Carrie M., Carl de Moor, Deborah Miller, et al.. (2022). Comparison of Time to Clinically Meaningful Improvement in Neuro-QOL in Patients Treated with Natalizumab Versus Ocrelizumab. Multiple Sclerosis and Related Disorders. 59. 103625–103625. 1 indexed citations
10.
Pang, Menglan & James A. Hanley. (2021). “Translating” All-Cause Mortality Rate Ratios or Hazard Ratios to Age-, Longevity-, and Probability-Based Measures. American Journal of Epidemiology. 190(12). 2664–2670. 3 indexed citations
11.
12.
Durand, Madéleine, Mireille E. Schnitzer, Menglan Pang, et al.. (2020). Comparative effectiveness and safety of direct oral anticoagulants versus vitamin K antagonists in nonvalvular atrial fibrillation: a Canadian multicentre observational cohort study. CMAJ Open. 8(4). E877–E886. 11 indexed citations
13.
Pang, Menglan, Robert W. Platt, Tibor Schuster, & Michał Abrahamowicz. (2020). Spline‐based accelerated failure time model. Statistics in Medicine. 40(2). 481–497. 14 indexed citations
14.
Durand, Madéleine, Mireille E. Schnitzer, Menglan Pang, et al.. (2020). Effectiveness and safety among direct oral anticoagulants in nonvalvular atrial fibrillation: A multi‐database cohort study with meta‐analysis. British Journal of Clinical Pharmacology. 87(6). 2589–2601. 11 indexed citations
15.
Shrier, Ian, Menglan Pang, & Robert W. Platt. (2017). Graphic report of the results from propensity score method analyses. Journal of Clinical Epidemiology. 88. 154–159. 4 indexed citations
16.
Karim, Mohammad Ehsanul, Menglan Pang, & Robert W. Platt. (2017). Can We Train Machine Learning Methods to Outperform the High-dimensional Propensity Score Algorithm?. Epidemiology. 29(2). 191–198. 46 indexed citations
17.
Pang, Menglan, Tibor Schuster, Kristian B. Filion, et al.. (2016). Effect Estimation in Point-Exposure Studies with Binary Outcomes and High-Dimensional Covariate Data – A Comparison of Targeted Maximum Likelihood Estimation and Inverse Probability of Treatment Weighting. The International Journal of Biostatistics. 12(2). 16 indexed citations
18.
Pang, Menglan, Tibor Schuster, Kristian B. Filion, María Eberg, & Robert W. Platt. (2016). Targeted Maximum Likelihood Estimation for Pharmacoepidemiologic Research. Epidemiology. 27(4). 570–577. 23 indexed citations
19.
Shrier, Ian & Menglan Pang. (2015). Confounding, effect modification, and the odds ratio: common misinterpretations. Journal of Clinical Epidemiology. 68(4). 470–474. 23 indexed citations
20.
Pang, Menglan, Jay S. Kaufman, & Robert W. Platt. (2013). Studying noncollapsibility of the odds ratio with marginal structural and logistic regression models. Statistical Methods in Medical Research. 25(5). 1925–1937. 61 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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