Matthew D Koslovsky

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 7

Top Topics

Cross Sectional

Smoking Cessation

Top Venues

BMC bioinformatics

Statistics in medicine

Psychological methods

This page only lists publications with an associated author ORCID identifier.

Publications

Matthew D Koslovsky
A bayesian zero-inflated dirichlet-multinomial regression model for multivariate compositional count data. Biometrics (2023)
Jingyan Fu, Matthew D Koslovsky, Andreas M Neophytou, Marina Vannucci
A Bayesian joint model for compositional mediation effect selection in microbiome data. Statistics in medicine (2023)
Justin Jr Van Ee, Christian A Hagen, David C Pavlacky Jr, Kent A Fricke, Matthew D Koslovsky, Mevin B Hooten
Melding wildlife surveys to improve conservation inference. Biometrics (2023)
Lauren Heck, Matthew D Koslovsky, Kirsten A Koehler, Nicholas Good, Jennifer L Peel, John Volckens, Ander Wilson
Infinite hidden Markov models for multiple multivariate time series with missing data. Biometrics (2022)
Mingrui Liang, Matthew D Koslovsky, Emily T Hebért Arsers, Darla E Kendzor, Michael S Businelle, Marina Vannucci
Bayesian continuous-time hidden Markov models with covariate selection for intensive longitudinal data with measurement error. Psychological methods (2021)
Matthew D Koslovsky, Marina Vannucci
Correction to: MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package. BMC bioinformatics 21 (1) (2020)
Matthew D Koslovsky, Michael D Swartz, Wenyaw Chan, Luis Leon-Novelo, Anna V Wilkinson, Darla E Kendzor, Michael S Businelle
Bayesian variable selection for multistate Markov models with interval-censored data in an ecological momentary assessment study of smoking cessation. Biometrics 74 (2) (2017)