Michael D Swartz

The null distribution of stochastic search gene suggestion: a Bayesian approach to gene mapping

Michael D Swartz, Sanjay Shete, 2007, BMC proceedings.

Co-occurring defect analysis: A platform for analyzing birth defect co-occurrence in registries.

Han Chen, Michael D Swartz, Xiao Yu, 2019, Birth defects research.

Stochastic search gene suggestion: a Bayesian hierarchical model for gene mapping.

Marek Kimmel, Michael D Swartz, Christopher I Amos, 2006, Biometrics.

Bayesian variable selection for multistate Markov models with interval‐censored data in an ecological momentary assessment study of smoking cessation

Matthew D. Koslovsky, Matthew D Koslovsky, Wenyaw Chan, 2018, Biometrics.

Propensity score stratification methods for continuous treatments

Michael D Swartz, Stacia M DeSantis, Anna V Wilkinson, 2020, Statistics in medicine.

A novel approach for propensity score matching and stratification for multiple treatments: Application to an electronic health record–derived study

Hulin Wu, Vahed Maroufy, Ashraf Yaseen, 2020, Statistics in medicine.

Methods for Collapsing Multiple Rare Variants in Whole‐Genome Sequence Data

Yun Ju Sung, Michael D Swartz, Y. Sung, 2014, Genetic epidemiology.

The Time-Varying Relations Between Risk Factors and Smoking Before and After a Quit Attempt

Matthew D Koslovsky, Wenyaw Chan, Michael D Swartz, 2018, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

The Effects of Missed Doses of Antibiotics on Hospitalized Patient Outcomes.

Michael D Swartz, John B Holcomb, J. Holcomb, 2019, The Journal of surgical research.