Privacy-Preserving Data Set Union. - Alberto Maria Segre; Andrew Wildenberg; Veronica J. Vieland; Ying Zhang (Privacy in Statistical Databases, 2006)

Fast Computation of Human Genetic Linkage. - Hongling Wang; Alberto Maria Segre; Yungui Huang; Jeffrey R. O'Connell; Veronica J. Vieland (BIBE, 2007)

MLIP: A Multiprocessor Linkage Analysis System. - Manika Govil; Alberto M. Segre; Veronica J. Vieland (IMSCCS, 2007)

MLIP: using multiple processors to compute the posterior probability of linkage. - Manika Govil; Alberto M. Segre; Veronica J. Vieland (BMC Bioinform., 2008)

Using projection and 2D plots to visually reveal genetic mechanisms of complex human disorders. - Boonthanome Nouanesengsy; Sang-Cheol Seok; Han-Wei Shen; Veronica J. Vieland (IEEE VAST, 2009)

Fast and Accurate Calculation of a Computationally Intensive Statistic for Mapping Disease Genes. - Sang-Cheol Seok; Michael Evans; Veronica J. Vieland (J. Comput. Biol., 2009)

Poster: High-performance computing for mapping disease-related genes. - William Valentine-Cooper; Yungui Huang; Sang-Cheol Seok; Veronica J. Vieland (ICCABS, 2011)

An Evidential Interpretation of the 1st and 2nd Laws of Thermodynamics - Veronica J. Vieland (CoRR, 2013)

Measurement of statistical evidence on an absolute scale following thermodynamic principles. - Veronica J. Vieland; Jayajit Das; Susan E. Hodge; Sang-Cheol Seok (Theory Biosci., 2013)

Brief communication: PEDSnet: a National Pediatric Learning Health System. - Christopher B. Forrest; Peter A. Margolis; L. Charles Bailey; Keith Marsolo; Mark A. Del Beccaro; Jonathan A. Finkelstein; David E. Milov; Veronica J. Vieland; Bryan A. Wolf; Feliciano B. Yu; Michael G. Kahn (J. Am. Medical Informatics Assoc., 2014)

Statistical Evidence Measured on a Properly Calibrated Scale across Nested and Non-nested Hypothesis Comparisons. - Veronica J. Vieland; Sang-Cheol Seok (Entropy, 2015)

Statistical Evidence Measured on a Properly Calibrated Scale for Multinomial Hypothesis Comparisons. - Veronica J. Vieland; Sang-Cheol Seok (Entropy, 2016)

Information Loss in Binomial Data Due to Data Compression. - Susan E. Hodge; Veronica J. Vieland (Entropy, 2017)

No evidence amalgamation without evidence measurement. - Veronica J. Vieland; Hasok Chang (Synth., 2019)