Bohdana Ratitch

1.2k total citations
28 papers, 614 citations indexed

About

Bohdana Ratitch is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Bohdana Ratitch has authored 28 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 9 papers in Economics and Econometrics and 3 papers in Artificial Intelligence. Recurrent topics in Bohdana Ratitch's work include Statistical Methods in Clinical Trials (18 papers), Advanced Causal Inference Techniques (12 papers) and Health Systems, Economic Evaluations, Quality of Life (9 papers). Bohdana Ratitch is often cited by papers focused on Statistical Methods in Clinical Trials (18 papers), Advanced Causal Inference Techniques (12 papers) and Health Systems, Economic Evaluations, Quality of Life (9 papers). Bohdana Ratitch collaborates with scholars based in United States, United Kingdom and Belgium. Bohdana Ratitch's co-authors include Michael O’Kelly, Ilya Lipkovich, Craig Mallinckrodt, Robert Tosiello, Geert Molenberghs, Pritibha Singh, Alex Dmitrienko, Jonathan W. Bartlett, Niti Goel and James Roger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Statistics in Medicine and Journal of Medical Internet Research.

In The Last Decade

Bohdana Ratitch

27 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bohdana Ratitch United States 13 406 184 34 33 32 28 614
Michael O’Kelly United States 13 355 0.9× 180 1.0× 48 1.4× 22 0.7× 28 0.9× 27 548
David Ohlssen Switzerland 11 369 0.9× 184 1.0× 76 2.2× 90 2.7× 29 0.9× 31 628
H. Amy Xia United States 15 276 0.7× 175 1.0× 80 2.4× 10 0.3× 24 0.8× 27 776
Damian McEntegart United Kingdom 9 176 0.4× 99 0.5× 61 1.8× 9 0.3× 48 1.5× 20 463
Jonathan Denne United States 15 401 1.0× 91 0.5× 57 1.7× 26 0.8× 18 0.6× 30 1.3k
Jacqueline Corrigan‐Curay United States 9 106 0.3× 148 0.8× 24 0.7× 32 1.0× 42 1.3× 13 616
Kjetil Røysland Norway 15 272 0.7× 115 0.6× 10 0.3× 24 0.7× 75 2.3× 29 564
Weichung Joseph Shih United States 10 376 0.9× 120 0.7× 100 2.9× 25 0.8× 34 1.1× 14 553
Graham Wheeler United Kingdom 10 278 0.7× 164 0.9× 80 2.4× 16 0.5× 49 1.5× 31 847
Mouna Akacha Switzerland 11 236 0.6× 150 0.8× 27 0.8× 8 0.2× 12 0.4× 21 317

Countries citing papers authored by Bohdana Ratitch

Since Specialization
Citations

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

Fields of papers citing papers by Bohdana Ratitch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bohdana Ratitch

This figure shows the co-authorship network connecting the top 25 collaborators of Bohdana Ratitch. A scholar is included among the top collaborators of Bohdana Ratitch 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 Bohdana Ratitch. Bohdana Ratitch 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.
Ratitch, Bohdana, et al.. (2023). Clinical Validation of Novel Digital Measures: Statistical Methods for Reliability Evaluation. SHILAP Revista de lepidopterología. 7(1). 74–91. 5 indexed citations
3.
Ionan, Alexei, Devan V. Mehrotra, John Scott, et al.. (2022). Clinical and Statistical Perspectives on the ICH E9(R1) Estimand Framework Implementation. Statistics in Biopharmaceutical Research. 15(3). 554–559. 5 indexed citations
4.
Deng, Kaiwen, et al.. (2022). Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study. Journal of Medical Internet Research. 24(3). e27934–e27934. 1 indexed citations
5.
Ratitch, Bohdana, Isaac R. Rodriguez‐Chavez, Julio Vega, et al.. (2022). Considerations for Analyzing and Interpreting Data from Biometric Monitoring Technologies in Clinical Trials. SHILAP Revista de lepidopterología. 6(3). 83–97. 4 indexed citations
6.
Ratitch, Bohdana, Craig Mallinckrodt, Jonathan W. Bartlett, et al.. (2020). Choosing Estimands in Clinical Trials: Putting the ICH E9(R1) Into Practice. Therapeutic Innovation & Regulatory Science. 54(2). 324–341. 40 indexed citations
7.
Mallinckrodt, Craig, Bohdana Ratitch, Michael O’Kelly, et al.. (2020). Aligning Estimators With Estimands in Clinical Trials: Putting the ICH E9(R1) Guidelines Into Practice. Therapeutic Innovation & Regulatory Science. 54(2). 353–364. 42 indexed citations
8.
Cui, Zhanglin Lin, et al.. (2020). MS3 PREDICTING OPTIMAL TREATMENT REGIMENS FOR HR+/HER2- BREAST CANCER BASED ON ELECTRONIC HEALTH RECORDS USING RANDOM FOREST. Value in Health. 23. S8–S9. 1 indexed citations
9.
Ratitch, Bohdana, Niti Goel, Craig Mallinckrodt, et al.. (2020). Defining Efficacy Estimands in Clinical Trials: Examples Illustrating ICH E9(R1) Guidelines. Therapeutic Innovation & Regulatory Science. 54(2). 370–384. 24 indexed citations
10.
Ratitch, Bohdana, Craig Mallinckrodt, Jonathan W. Bartlett, et al.. (2019). Choosing Estimands in Clinical Trials: Putting the ICH E9(R1) Into Practice. Therapeutic Innovation & Regulatory Science. 3593143434–3593143434. 6 indexed citations
11.
Mallinckrodt, Craig, Bohdana Ratitch, Michael O’Kelly, et al.. (2019). Aligning Estimators With Estimands in Clinical Trials: Putting the ICH E9(R1) Guidelines Into Practice. Therapeutic Innovation & Regulatory Science. 3593143249–3593143249. 7 indexed citations
12.
Ratitch, Bohdana, Niti Goel, Craig Mallinckrodt, et al.. (2019). Defining Efficacy Estimands in Clinical Trials: Examples Illustrating ICH E9(R1) Guidelines. Therapeutic Innovation & Regulatory Science. 3593143683–3593143683. 3 indexed citations
13.
Lipkovich, Ilya, Alex Dmitrienko, Kaushik Patra, Bohdana Ratitch, & Erik Pulkstenis. (2017). Subgroup Identification in Clinical Trials by Stochastic SIDEScreen Methods. Statistics in Biopharmaceutical Research. 9(4). 368–378. 5 indexed citations
14.
Lipkovich, Ilya, et al.. (2017). Multiplicity issues in exploratory subgroup analysis. Journal of Biopharmaceutical Statistics. 28(1). 63–81. 11 indexed citations
15.
Lipkovich, Ilya, Bohdana Ratitch, & Michael O’Kelly. (2016). Sensitivity to censored‐at‐random assumption in the analysis of time‐to‐event endpoints. Pharmaceutical Statistics. 15(3). 216–229. 26 indexed citations
16.
O’Kelly, Michael & Bohdana Ratitch. (2014). Clinical Trials with Missing Data. 79 indexed citations
17.
Mallinckrodt, Craig, James Roger, Christy Chuang‐Stein, et al.. (2013). Missing Data: Turning Guidance Into Action. Statistics in Biopharmaceutical Research. 5(4). 369–382. 31 indexed citations
18.
Mallinckrodt, Craig, James Roger, Christy Chuang‐Stein, et al.. (2013). Recent Developments in the Prevention and Treatment of Missing Data. Therapeutic Innovation & Regulatory Science. 48(1). 68–80. 31 indexed citations
19.
Ratitch, Bohdana. (2011). Implementation of Pattern-Mixture Models Using Standard SAS/STAT Procedures. 17 indexed citations
20.
Ratitch, Bohdana. (2005). On characteristics of markov decision processes and reinforcement learning in large domains. eScholarship@McGill (McGill). 6 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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