Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation
Impact in
- Surgery 121
Classified as
- Journal
- Statistics in Medicine
In The Last Decade
doi.org/10.1002/sim.1802 →Countries where authors are citing Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation
This map shows the geographic impact of Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation. 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 Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation more than expected).
Fields of papers citing Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation
This network shows the impact of Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation.
About Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation
This paper, published in 2004, received 1.2k indexed citations . Written by Michael Pencina and Ralph B. D’Agostino covering the research area of Statistics and Probability. It is primarily cited by scholars working on Cardiology and Cardiovascular Medicine (142 citations), Surgery (121 citations), Pulmonary and Respiratory Medicine (117 citations), Oncology (82 citations) and Statistics and Probability (80 citations). Published in Statistics in Medicine.
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/10.1002/sim.1802.