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Showing below up to 39 results in range #21 to #59.

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  1. Common.css‏‎ (15:52, 21 May 2013)
  2. Vector.css‏‎ (16:05, 21 May 2013)
  3. Admin/Vector.css‏‎ (16:12, 21 May 2013)
  4. Admin/vector.css‏‎ (16:13, 21 May 2013)
  5. The Metropolis-Hastings algorithm for simulating the individual parameters‏‎ (15:55, 22 May 2013)
  6. Introduction‏‎ (10:47, 27 May 2013)
  7. Introduction to PK modeling using MLXPlore - Part II‏‎ (10:18, 29 May 2013)
  8. Estimation of the log-likelihood‏‎ (15:43, 3 June 2013)
  9. Code‏‎ (15:46, 3 June 2013)
  10. Animations & Videos‏‎ (14:44, 5 June 2013)
  11. Simulation‏‎ (16:10, 5 June 2013)
  12. Home page‏‎ (14:53, 7 June 2013)
  13. Introduction and notation‏‎ (14:54, 7 June 2013)
  14. Description, representation and implementation of a model‏‎ (10:09, 21 June 2013)
  15. Overview‏‎ (10:34, 21 June 2013)
  16. What is a model? A joint probability distribution!‏‎ (10:40, 21 June 2013)
  17. The SAEM algorithm for estimating population parameters‏‎ (11:17, 21 June 2013)
  18. Gaussian models‏‎ (12:39, 25 June 2013)
  19. Model with covariates‏‎ (13:23, 25 June 2013)
  20. Extension to multivariate distributions‏‎ (13:28, 25 June 2013)
  21. Additional levels of variability‏‎ (13:37, 25 June 2013)
  22. Modeling the observations‏‎ (13:46, 25 June 2013)
  23. Continuous data models‏‎ (13:54, 25 June 2013)
  24. Introduction to PK modeling using MLXPlore - Part I‏‎ (14:27, 25 June 2013)
  25. Models for count data‏‎ (15:00, 25 June 2013)
  26. Models for time-to-event data‏‎ (15:10, 25 June 2013)
  27. Joint models‏‎ (15:19, 25 June 2013)
  28. Extensions‏‎ (15:28, 25 June 2013)
  29. Mixture models‏‎ (15:39, 25 June 2013)
  30. Hidden Markov models‏‎ (15:44, 25 June 2013)
  31. Stochastic differential equations based models‏‎ (15:57, 25 June 2013)
  32. Visualization‏‎ (16:10, 25 June 2013)
  33. Estimation‏‎ (16:20, 25 June 2013)
  34. Model evaluation‏‎ (16:22, 25 June 2013)
  35. Introduction & notation‏‎ (10:36, 1 July 2013)
  36. Modeling the individual parameters‏‎ (10:52, 1 July 2013)
  37. Model for categorical data‏‎ (11:42, 28 August 2013)
  38. Estimation of the observed Fisher information matrix‏‎ (12:09, 28 August 2013)
  39. The individual approach‏‎ (15:58, 28 August 2013)

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