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