种子简介
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次
资源热度:
172
最近下载:
2024-12-28 21:39
下载BT种子文件
下载Torrent文件(.torrent)
立即下载
磁力链接下载
magnet:?xt=urn:btih:7fdbfd8d5e9bf10e353587f2383918f0c6c841fc&dn=Healthcare Analytics Regression in R
复制链接到迅雷、QQ旋风进行下载,或者使用百度云离线下载。
喜欢这个种子的人也喜欢
种子包含的文件
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