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Showing below up to 19 results in range #41 to #59.

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

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