Mixed effects modeling of Morris water maze data revisited: Bayesian censored regression
PMID: 33619694
Experiments
- Use the brms package in R for Bayesian censored multilevel generalized regression. This enables conducting repeated-measures analysis with continuous within-subjects predictors while properly modeling censored data.1
- We revisited mixed effects modeling of Morris water maze data using multilevel censored generalized linear regression and Bayesian analysis. This approach explicitly models the censoring created by prematurely ending a trial and incorporates the skewed distribution of latency data.
Bayesian censored regression analysis in Morris water maze data
Items
| Material | Material Usage | Supplier |
| Morris water maze data | Data analysis | N/A |
| brms package | Bayesian analysis | R |
Instructions
Methodologies
