Download Healthcare Analytics Regression in R torrent

Healthcare Analytics Regression in R

Torrent:	Healthcare Analytics Regression in R
Description:	Linear and logistic regression models can be created using R, the open-source statistical computing software. In this course, biotech expert and epidemiologist Monika Wahi uses the publicly available Behavioral Risk Factor Surveillance Survey (BRFSS) dataset to show you how to perform a forward stepwise modeling process. Monika shows you how to design your research by considering scientific plausibility selecting a hypothesis. Then, she takes you through the steps of preparing, developing, and finalizing both a linear regression model and a logistic regression model. She also shares techniques for how to interpret diagnostic plots, improve model fit, compare models, and more. Topics include: Dealing with scientific plausibility Selecting a hypothesis Interpreting diagnostic plots Working with indexes and model metadata Working with quartiles and ranking Making a working model Improving model fit Performing linear regression modeling Performing logistic regression modeling Performing forward stepwise regression Estimating parameters Interpreting an odds ratio Adding odds ratios to models Comparing nested models Presenting and interpreting the final model
Downloads:	283
Category:	Other /Tutorials
Size:	519.4 MB
Show Files »	Healthcare Analytics Regression in R 00_01 - Welcome to the course.mp4 (6.3 MB) 00_02 - What you should know.mp4 (1.7 MB) 00_03 - Introduction to the course.mp4 (2.6 MB) 00_04 - Using the exercise files.mp4 (1.1 MB) 01_01 - Scientific method review.mp4 (11.9 MB) 01_02 - Using a cross-sectional approach.mp4 (11.6 MB) 01_03 - Reviewing existing literature for ideas.mp4 (12.9 MB) 01_04 - Dealing with scientific plausibility.mp4 (11.2 MB) 01_05 - Selecting a linear regression hypothesis.mp4 (13.3 MB) 01_06 - Selecting a logistic regression hypothesis.mp4 (17.7 MB) 01_07 - Installing necessary packages.mp4 (10.3 MB) 02_01 - Plots for checking assumptions in linear regression.mp4 (10.9 MB) 02_02 - Interpreting diagnostic plots.mp4 (5.1 MB) 02_03 - Categorization and transformation.mp4 (11.9 MB) 02_04 - Indexes.mp4 (14.7 MB) 02_05 - Quartiles.mp4 (6.6 MB) 02_06 - Ranking.mp4 (8.1 MB) 02_07 - Regression review.mp4 (7.0 MB) 02_08 - Preparing to report results.mp4 (4.5 MB) 03_01 - Choices of modeling approaches.mp4 (9.0 MB) 03_02 - Overview of modeling process.mp4 (8.8 MB) 03_03 - Linear regression output.mp4 (10.1 MB) 03_04 - Models 1 and 2.mp4 (7.0 MB) 03_05 - Model metadata.mp4 (7.5 MB) 04_01 - Beginning Model 3.mp4 (13.7 MB) 04_02 - Making a working Model 3.mp4 (16.9 MB) 04_03 - Finalizing Model 3.mp4 (11.8 MB) 04_04 - Looking at the final model.mp4 (14.6 MB) 04_05 - Fishing and interaction.mp4 (9.8 MB) 04_06 - Other strategies for improving model fit.mp4 (5.9 MB) 04_07 - Defending the final model.mp4 (7.5 MB) 04_08 - Presenting the final model.mp4 (17.2 MB) 05_01 - Analogies to linear regression process.mp4 (8.6 MB) 05_02 - Parameter estimates in logistic regression.mp4 (7.7 MB) 05_03 - Odds ratio interpretation.mp4 (10.2 MB) 05_04 - Basic logistic code.mp4 (6.5 MB) 05_05 - Forward stepwise regression First two rounds.mp4 (7.2 MB) 05_06 - Forward stepwise regression Round 3.mp4 (11.5 MB) 06_01 - Running Model 1.mp4 (10.6 MB) 06_02 - Adding odds ratios to models.mp4 (12.0 MB) 06_03 - Model metadata.mp4 (12.3 MB) 06_04 - Forward stepwise Round 2.mp4 (13.1 MB) 06_05 - Forward stepwise Round 3.mp4 (18.5 MB) 06_06 - Using AIC to assess model fit.mp4 (7.6 MB) 06_07 - When to compare nested models.mp4 (7.7 MB) 06_08 - How to compare nested models.mp4 (16.1 MB) 06_09 - Models 1 and 2 presentation.mp4 (15.0 MB) 06_10 - Model 3 presentation.mp4 (13.7 MB) 06_11 - Interpreting the final model.mp4 (11.1 MB) 07_01 - Review of metadata.mp4 (8.7 MB) 07_02 - Review of the process.mp4 (6.2 MB) 07_03 - Next steps.mp4 (4.1 MB) Ex_Files_Healthcare_Regression_R.zip (1.6 MB) Subtitles CC.rar (79.0 KB) Torrent Downloaded From Katcr.co - Kickasstorrents.txt (0.1 KB) files
Added:	2017-06-20 16:33:27
Language:	English
Peers:	Seeders : 2 , Leechers : 0
Release name:	Healthcare Analytics Regression in R
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