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Showing below up to 19 results in range #41 to #59.
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- Additional levels of variability (13:37, 25 June 2013)
- Modeling the observations (13:46, 25 June 2013)
- Continuous data models (13:54, 25 June 2013)
- Introduction to PK modeling using MLXPlore - Part I (14:27, 25 June 2013)
- Models for count data (15:00, 25 June 2013)
- Models for time-to-event data (15:10, 25 June 2013)
- Joint models (15:19, 25 June 2013)
- Extensions (15:28, 25 June 2013)
- Mixture models (15:39, 25 June 2013)
- Hidden Markov models (15:44, 25 June 2013)
- Stochastic differential equations based models (15:57, 25 June 2013)
- Visualization (16:10, 25 June 2013)
- Estimation (16:20, 25 June 2013)
- Model evaluation (16:22, 25 June 2013)
- Introduction & notation (10:36, 1 July 2013)
- Modeling the individual parameters (10:52, 1 July 2013)
- Model for categorical data (11:42, 28 August 2013)
- Estimation of the observed Fisher information matrix (12:09, 28 August 2013)
- The individual approach (15:58, 28 August 2013)