Implementation
10
Censoring with
brms
Modeling with Censored Data
Preface
1
What are censored data?
First models
2
One censored outcome
3
One censored predictor
4
Example Model 3: Censored outcome and censored predictor
5
Censored outcome and multiple predictors
Case studies
6
Example Model 4: Logistic regression with censored predictors
7
Example Model 5: Interval Censoring
8
Example Model 6: the HAI manifesto
Implementation
9
Maximum likelihood methods
10
Censoring with
brms
11
Custom Bayesian models with Stan
References
Implementation
10
Censoring with
brms
10
Censoring with
brms
this is a placeholder
9
Maximum likelihood methods
11
Custom Bayesian models with Stan