John W. O'NEill
John W. O'NEill has a total of 14 co-authors. Here are the top co-authors by number of shared publications:
- Ailin Tang
Division of Cardiothoracic Surgery, Department of Surgery, Emory University School of Medicine, Atlanta, GA, USA
1 shared publication - Aly Sherif Hassaballa
Ain Shams University Hospitals Cairo Egypt
1 shared publication - Andres Bermudez
Department of Biomedical Engineering
1 shared publication - Christian Andres Bermudez
Division of Cardiovascular Surgery, Department of Surgery, Hospital of the University of Pennsylvania, University of Pennsylvania, Philadelphia, PA
1 shared publication - Clayton J. Rust
Division of Cardiothoracic Surgery, Department of Surgery, Emory University School of Medicine, Atlanta, GA, USA
1 shared publication - Helen Abadiotakis
Division of Cardiothoracic Surgery, Department of Surgery, Emory University School of Medicine, Atlanta, GA, USA
1 shared publication
Latest Publications
- 26 March 2026
- Published by The R Foundation
TernTables: Automated Statistical Analysis and Table Generation for Biomedical Research
Generates publication-ready summary tables for clinical research, supporting descriptive summaries and comparisons across two or three groups. The package streamlines the analytical workflow by detecting variable types and applying appropriate statistical tests (Welch t-test, Wilcoxon rank-sum, Welch ANOVA, Kruskal-Wallis, Chi-squared, or Fisher's exact test). Results are formatted as 'tibble' objects and can be exported to 'Word' or 'Excel' using the 'officer', 'flextable', and 'writexl' packages. Optional pairwise post-hoc testing for three-group comparisons (Games-Howell and Dunn's test) is available via the 'rstatix' package. Example data are derived from the landmark adjuvant colon cancer trial described in Moertel et al. (1990) .
- 26 March 2026
- Published by The R Foundation
TernTables: Automated Statistical Analysis and Table Generation for Biomedical Research
Generates publication-ready summary tables for clinical research, supporting descriptive summaries and comparisons across two or three groups. The package streamlines the analytical workflow by detecting variable types and applying appropriate statistical tests (Welch t-test, Wilcoxon rank-sum, Welch ANOVA, Kruskal-Wallis, Chi-squared, or Fisher's exact test). Results are formatted as 'tibble' objects and can be exported to 'Word' or 'Excel' using the 'officer', 'flextable', and 'writexl' packages. Optional pairwise post-hoc testing for three-group comparisons (Games-Howell and Dunn's test) is available via the 'rstatix' package. Example data are derived from the landmark adjuvant colon cancer trial described in Moertel et al. (1990) .