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Healthcare Analytics Regression in R

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种子名称: Healthcare Analytics Regression in R
文件类型: 视频
文件数目: 52个文件
文件大小: 517.69 MB
收录时间: 2017-7-10 14:22
已经下载: 3
资源热度: 161
最近下载: 2024-11-22 00:25

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Healthcare Analytics Regression in R.torrent
  • 00_01 - Welcome to the course.mp46.35MB
  • 00_02 - What you should know.mp41.66MB
  • 00_03 - Introduction to the course.mp42.56MB
  • 00_04 - Using the exercise files.mp41.12MB
  • 01_01 - Scientific method review.mp411.87MB
  • 01_02 - Using a cross-sectional approach.mp411.6MB
  • 01_03 - Reviewing existing literature for ideas.mp412.91MB
  • 01_04 - Dealing with scientific plausibility.mp411.22MB
  • 01_05 - Selecting a linear regression hypothesis.mp413.33MB
  • 01_06 - Selecting a logistic regression hypothesis.mp417.66MB
  • 01_07 - Installing necessary packages.mp410.28MB
  • 02_01 - Plots for checking assumptions in linear regression.mp410.92MB
  • 02_02 - Interpreting diagnostic plots.mp45.09MB
  • 02_03 - Categorization and transformation.mp411.85MB
  • 02_04 - Indexes.mp414.73MB
  • 02_05 - Quartiles.mp46.62MB
  • 02_06 - Ranking.mp48.12MB
  • 02_07 - Regression review.mp47MB
  • 02_08 - Preparing to report results.mp44.46MB
  • 03_01 - Choices of modeling approaches.mp49.02MB
  • 03_02 - Overview of modeling process.mp48.76MB
  • 03_03 - Linear regression output.mp410.13MB
  • 03_04 - Models 1 and 2.mp47.04MB
  • 03_05 - Model metadata.mp47.48MB
  • 04_01 - Beginning Model 3.mp413.7MB
  • 04_02 - Making a working Model 3.mp416.91MB
  • 04_03 - Finalizing Model 3.mp411.79MB
  • 04_04 - Looking at the final model.mp414.63MB
  • 04_05 - Fishing and interaction.mp49.81MB
  • 04_06 - Other strategies for improving model fit.mp45.87MB
  • 04_07 - Defending the final model.mp47.52MB
  • 04_08 - Presenting the final model.mp417.22MB
  • 05_01 - Analogies to linear regression process.mp48.63MB
  • 05_02 - Parameter estimates in logistic regression.mp47.68MB
  • 05_03 - Odds ratio interpretation.mp410.23MB
  • 05_04 - Basic logistic code.mp46.47MB
  • 05_05 - Forward stepwise regression First two rounds.mp47.22MB
  • 05_06 - Forward stepwise regression Round 3.mp411.48MB
  • 06_01 - Running Model 1.mp410.64MB
  • 06_02 - Adding odds ratios to models.mp412.02MB
  • 06_03 - Model metadata.mp412.3MB
  • 06_04 - Forward stepwise Round 2.mp413.07MB
  • 06_05 - Forward stepwise Round 3.mp418.49MB
  • 06_06 - Using AIC to assess model fit.mp47.63MB
  • 06_07 - When to compare nested models.mp47.69MB
  • 06_08 - How to compare nested models.mp416.1MB
  • 06_09 - Models 1 and 2 presentation.mp415.05MB
  • 06_10 - Model 3 presentation.mp413.72MB
  • 06_11 - Interpreting the final model.mp411.07MB
  • 07_01 - Review of metadata.mp48.67MB
  • 07_02 - Review of the process.mp46.2MB
  • 07_03 - Next steps.mp44.11MB