First models
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Censored outcome and multiple predictors
Modeling with Censored Data
Preface
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What are censored data?
First models
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One censored outcome
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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
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Maximum likelihood methods
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Censoring with
brms
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Custom Bayesian models with Stan
References
First models
5
Censored outcome and multiple predictors
5
Censored outcome and multiple predictors
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Example Model 3: Censored outcome and censored predictor
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Example Model 4: Logistic regression with censored predictors