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Healthcare Analytics Regression in R

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2017-7-10 14:22 2024-6-27 15:45 138 517.69 MB 52
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Healthcare Analytics Regression in R的二维码
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文件列表
  1. 00_01 - Welcome to the course.mp46.35MB
  2. 00_02 - What you should know.mp41.66MB
  3. 00_03 - Introduction to the course.mp42.56MB
  4. 00_04 - Using the exercise files.mp41.12MB
  5. 01_01 - Scientific method review.mp411.87MB
  6. 01_02 - Using a cross-sectional approach.mp411.6MB
  7. 01_03 - Reviewing existing literature for ideas.mp412.91MB
  8. 01_04 - Dealing with scientific plausibility.mp411.22MB
  9. 01_05 - Selecting a linear regression hypothesis.mp413.33MB
  10. 01_06 - Selecting a logistic regression hypothesis.mp417.66MB
  11. 01_07 - Installing necessary packages.mp410.28MB
  12. 02_01 - Plots for checking assumptions in linear regression.mp410.92MB
  13. 02_02 - Interpreting diagnostic plots.mp45.09MB
  14. 02_03 - Categorization and transformation.mp411.85MB
  15. 02_04 - Indexes.mp414.73MB
  16. 02_05 - Quartiles.mp46.62MB
  17. 02_06 - Ranking.mp48.12MB
  18. 02_07 - Regression review.mp47MB
  19. 02_08 - Preparing to report results.mp44.46MB
  20. 03_01 - Choices of modeling approaches.mp49.02MB
  21. 03_02 - Overview of modeling process.mp48.76MB
  22. 03_03 - Linear regression output.mp410.13MB
  23. 03_04 - Models 1 and 2.mp47.04MB
  24. 03_05 - Model metadata.mp47.48MB
  25. 04_01 - Beginning Model 3.mp413.7MB
  26. 04_02 - Making a working Model 3.mp416.91MB
  27. 04_03 - Finalizing Model 3.mp411.79MB
  28. 04_04 - Looking at the final model.mp414.63MB
  29. 04_05 - Fishing and interaction.mp49.81MB
  30. 04_06 - Other strategies for improving model fit.mp45.87MB
  31. 04_07 - Defending the final model.mp47.52MB
  32. 04_08 - Presenting the final model.mp417.22MB
  33. 05_01 - Analogies to linear regression process.mp48.63MB
  34. 05_02 - Parameter estimates in logistic regression.mp47.68MB
  35. 05_03 - Odds ratio interpretation.mp410.23MB
  36. 05_04 - Basic logistic code.mp46.47MB
  37. 05_05 - Forward stepwise regression First two rounds.mp47.22MB
  38. 05_06 - Forward stepwise regression Round 3.mp411.48MB
  39. 06_01 - Running Model 1.mp410.64MB
  40. 06_02 - Adding odds ratios to models.mp412.02MB
  41. 06_03 - Model metadata.mp412.3MB
  42. 06_04 - Forward stepwise Round 2.mp413.07MB
  43. 06_05 - Forward stepwise Round 3.mp418.49MB
  44. 06_06 - Using AIC to assess model fit.mp47.63MB
  45. 06_07 - When to compare nested models.mp47.69MB
  46. 06_08 - How to compare nested models.mp416.1MB
  47. 06_09 - Models 1 and 2 presentation.mp415.05MB
  48. 06_10 - Model 3 presentation.mp413.72MB
  49. 06_11 - Interpreting the final model.mp411.07MB
  50. 07_01 - Review of metadata.mp48.67MB
  51. 07_02 - Review of the process.mp46.2MB
  52. 07_03 - Next steps.mp44.11MB
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