Faculty profile
Guohua Yan
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of New Brunswick directory, so their courses and email address may be missing. Find their university profile.
Latest papers
A New Logistic Model With Subject-Specific and Serially Correlated Time-Specific Distribution-Free Random Effects on the Unit Interval for Longitudinal Binary Data.
Biometrical journal. Biometrische Zeitschrift · 2025
Analysis of Longitudinal Binomial Data with Positive Association between the Number of Successes and the Number of Failures: An Application to Stock Instability Study.
Entropy (Basel, Switzerland) · 2022
Conditional inference trees in the assessment of tree mortality rates in the transitional mixed forests of Atlantic Canada.
PloS one · 2021
Latest funding
- $90,000
Statistical inference in zero-inflated random effects models with missing data
NSERC · 2016 · Principal investigator
- $80,000
Methods for cluster analysis and inference for clustered count data
NSERC · 2010 · Principal investigator
6 publications.
A New Logistic Model With Subject-Specific and Serially Correlated Time-Specific Distribution-Free Random Effects on the Unit Interval for Longitudinal Binary Data.
Zhang L, Ma R, Yan G, Huang X
Analysis of Longitudinal Binomial Data with Positive Association between the Number of Successes and the Number of Failures: An Application to Stock Instability Study.
Zhang X, Yan G, Ma R, Li J
Conditional inference trees in the assessment of tree mortality rates in the transitional mixed forests of Atlantic Canada.
Guan H, Dong X, Yan G, Searls T, Bourque CP, Meng FR
Linking dynamic patterns of COVID-19 spreads in Italy with regional characteristics: a two level longitudinal modelling approach.
Hao Y, Yan G, Ma R, Hasan MT
A Joint Poisson State-Space Modelling Approach to Analysis of Binomial Series with Random Cluster Sizes.
Yan G, Ma R, Tariqul Hasan M
Tweedie family of generalized linear models with distribution-free random effects for skewed longitudinal data.
Ma R, Yan G, Hasan MT
Statistical inference in zero-inflated random effects models with missing data
Principal investigators: Yan, Guohua
Methods for cluster analysis and inference for clustered count data
Principal investigators: Yan, Guohua
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.