Best Subsets Logistic Regression
- Journal
- Biometrics
In The Last Decade
doi.org/10.2307/2531779 →Countries where authors are citing Best Subsets Logistic Regression
This map shows the geographic impact of Best Subsets Logistic Regression. 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 Best Subsets Logistic Regression with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Best Subsets Logistic Regression more than expected).
Fields of papers citing Best Subsets Logistic Regression
This network shows the impact of Best Subsets Logistic Regression. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Best Subsets Logistic Regression.
About Best Subsets Logistic Regression
This paper, published in 1989, received 1.1k indexed citations . Written by David W. Hosmer, Borko Jovanovic and Stanley Lemeshow covering the research area of Statistics and Probability. It is primarily cited by scholars working on Epidemiology (199 citations), Cardiology and Cardiovascular Medicine (153 citations) and Pulmonary and Respiratory Medicine (124 citations). Published in Biometrics.
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.
This paper is also available at doi.org/10.2307/2531779.