Vance W. Berger

3.4k total citations
76 papers, 1.4k citations indexed

About

Vance W. Berger is a scholar working on Statistics and Probability, Economics and Econometrics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Vance W. Berger has authored 76 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Statistics and Probability, 25 papers in Economics and Econometrics and 22 papers in Statistics, Probability and Uncertainty. Recurrent topics in Vance W. Berger's work include Statistical Methods in Clinical Trials (55 papers), Advanced Causal Inference Techniques (32 papers) and Health Systems, Economic Evaluations, Quality of Life (24 papers). Vance W. Berger is often cited by papers focused on Statistical Methods in Clinical Trials (55 papers), Advanced Causal Inference Techniques (32 papers) and Health Systems, Economic Evaluations, Quality of Life (24 papers). Vance W. Berger collaborates with scholars based in United States, United Kingdom and Germany. Vance W. Berger's co-authors include Anastasia Ivanova, Derek V. Exner, Maria Deloria Knoll, Samaradasa Weerahandi, Costas A. Christophi, Wenle Zhao, Thomas Permutt, Harold B. Sackrowitz, Catherine Hewitt and Steffen Mickenautsch and has published in prestigious journals such as Journal of the American Statistical Association, JNCI Journal of the National Cancer Institute and Biometrics.

In The Last Decade

Vance W. Berger

70 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vance W. Berger United States 19 734 357 328 121 100 76 1.4k
Laura Flight United Kingdom 12 323 0.4× 279 0.8× 205 0.6× 216 1.8× 70 0.7× 28 1.2k
Graham Wheeler United Kingdom 10 278 0.4× 164 0.5× 80 0.2× 125 1.0× 64 0.6× 31 847
Alan Ebbutt United Kingdom 10 283 0.4× 185 0.5× 128 0.4× 91 0.8× 133 1.3× 17 1.2k
Byron Wm. Brown United States 20 404 0.6× 206 0.6× 91 0.3× 105 0.9× 133 1.3× 29 1.6k
Deborah R. Zucker United States 16 168 0.2× 196 0.5× 129 0.4× 146 1.2× 85 0.8× 29 1.1k
John D. Emerson United States 14 251 0.3× 106 0.3× 281 0.9× 128 1.1× 79 0.8× 48 1.0k
Bucknam McPeek United States 10 191 0.3× 223 0.6× 323 1.0× 233 1.9× 357 3.6× 27 1.5k
Takashi Sozu Japan 19 231 0.3× 104 0.3× 56 0.2× 68 0.6× 285 2.9× 88 1.4k
Perrine Janiaud United States 15 85 0.1× 153 0.4× 170 0.5× 131 1.1× 36 0.4× 46 960
Hongwei Zhao United States 20 216 0.3× 268 0.8× 32 0.1× 177 1.5× 66 0.7× 54 1.2k

Countries citing papers authored by Vance W. Berger

Since Specialization
Citations

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

Fields of papers citing papers by Vance W. Berger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vance W. Berger. 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 Vance W. Berger. The network helps show where Vance W. Berger may publish in the future.

Co-authorship network of co-authors of Vance W. Berger

This figure shows the co-authorship network connecting the top 25 collaborators of Vance W. Berger. A scholar is included among the top collaborators of Vance W. Berger 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 Vance W. Berger. Vance W. Berger 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.
Sverdlov, Oleksandr, R.-D Hilgers, Colin Everett, et al.. (2023). Which Randomization Methods Are Used Most Frequently in Clinical Trials? Results of a Survey by the Randomization Working Group. Statistics in Biopharmaceutical Research. 16(4). 441–455. 5 indexed citations
2.
Berger, Vance W., Jonathan Chipman, Colin Everett, et al.. (2021). A roadmap to using randomization in clinical trials. BMC Medical Research Methodology. 21(1). 168–168. 60 indexed citations
3.
Berger, Vance W.. (2017). An empirical demonstration of the need for exact tests. Journal of Modern Applied Statistical Methods. 16(1). 34–50. 1 indexed citations
4.
Berger, Vance W.. (2015). A Tale of Two Randomization Procedures. Biometrics & Biostatistics International Journal. 2(3). 1 indexed citations
5.
Berger, Vance W.. (2014). Conflicts of Interest, Selective Inertia, and Research Malpractice in Randomized Clinical Trials: An Unholy Trinity. Science and Engineering Ethics. 21(4). 857–874. 9 indexed citations
6.
Berger, Vance W., et al.. (2011). Opposing Systematic Reviews: The Effects of Two Quality Rating Instruments on Evidence Regarding T'ai Chi and Bone Mineral Density in Postmenopausal Women. The Journal of Alternative and Complementary Medicine. 17(5). 389–395. 13 indexed citations
7.
Berger, Vance W.. (2009). A Socratic Dialogue. Journal of Modern Applied Statistical Methods. 8(1). 316–321. 12 indexed citations
8.
Berger, Vance W., et al.. (2009). A General Framework for the Evaluation of Clinical Trial Quality. Reviews on Recent Clinical Trials. 4(2). 79–88. 188 indexed citations
9.
Durkalski, Valerie & Vance W. Berger. (2009). Re‐Formulating Non‐inferiority Trials as Superiority Trials: The Case of Binary Outcomes. Biometrical Journal. 51(1). 185–192. 1 indexed citations
10.
Berger, Vance W., Cătălina Ştefănescu, & Yan Zhou. (2006). The Analysis of Stratified 2 × 2 Contingency Tables. Biometrical Journal. 48(6). 992–1007. 1 indexed citations
11.
Fuchs, Camil & Vance W. Berger. (2004). Quantifying The Proportion Of Cases Attributable To An Exposure. Journal of Modern Applied Statistical Methods. 3(1). 54–64. 2 indexed citations
12.
Berger, Vance W.. (2004). On the generation and ownership of alpha in medical studies. Controlled Clinical Trials. 25(6). 613–619. 20 indexed citations
13.
Berger, Vance W. & Costas A. Christophi. (2003). Randomization Technique, Allocation Concealment, Masking, And Susceptibility Of Trials To Selection Bias. Journal of Modern Applied Statistical Methods. 2(1). 80–86. 34 indexed citations
14.
Berger, Vance W., et al.. (2003). When can a clinical trial be called ‘randomized’?. Vaccine. 21(5-6). 468–472. 38 indexed citations
15.
Berger, Vance W. & Anastasia Ivanova. (2002). Adaptive Tests for Ordered Categorical Data. Journal of Modern Applied Statistical Methods. 1(2). 269–280. 5 indexed citations
16.
Berger, Vance W., Clifford E. Lunneborg, Michael D. Ernst, & Jonathan G. Levine. (2002). Parametric analyses in randomized clinical trials. Journal of Modern Applied Statistical Methods. 1(1). 74–82. 16 indexed citations
17.
Permutt, Thomas & Vance W. Berger. (2000). A new look at rank tests in ordered-2×k contingency tables. Communication in Statistics- Theory and Methods. 29(5-6). 989–1003. 6 indexed citations
18.
Berger, Vance W.. (2000). Pros and cons of permutation tests in clinical trials. Statistics in Medicine. 19(10). 1319–1328. 93 indexed citations
19.
Berger, Vance W. & Harold B. Sackrowitz. (1997). Improving Tests for Superior Treatment in Contingency Tables. Journal of the American Statistical Association. 92(438). 700–705. 11 indexed citations
20.
Berger, Vance W.. (1996). The probability problem solver : a complete solution guide to any textbook. 1 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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