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خانه » فروشگاه » Advanced and Specialized Statistics with Stata

Advanced and Specialized Statistics with Stata

سرفصل های دوره

Stata is agile, easy to use, and fast, with the ability to load and process up to 120,000 variables and over 20 billion observations. In this course, take a deeper dive into the popular statistics software. Instructor Franz Buscha explores advanced and specialized topics in Stata, from panel data modeling to interaction effects in regression models. Franz demonstrates several sophisticated data management functions and visualization techniques to complement the basic Stata operations that you may have already mastered. Plus learn about Monte Carlo simulations, count data analysis, survival analysis, and more.


01 - Introduction
  • 01 - Specialized statistics with Stata
  • 02 - What you should know

    • 02 - 1. More on Data Management
  • 01 - Formatting the display of variables
  • 02 - Date and time variables
  • 03 - Repeating commands by looping over variables
  • 04 - Repeating commands by looping over numbers
  • 05 - Repeating commands by looping within loops
  • 06 - Accessing results saved from Stata commands
  • 07 - Challenge More on data management
  • 08 - Solution More on data management

    • 03 - 2. More on Visualization Techniques
  • 01 - Changing the look of markers
  • 02 - Changing graph colors
  • 03 - Graphing by groups
  • 04 - Controlling legends
  • 05 - Adding text and textboxes
  • 06 - Sizing graphs
  • 07 - Combining graphs
  • 08 - How to use jitter
  • 09 - How to draw custom functions
  • 10 - Challenge More on visualization techniques
  • 11 - Solution More on visualization techniques

    • 04 - 3. Interaction Effects in Regression Models
  • 01 - What is an interaction effect
  • 02 - How to use margins and marginsplot
  • 03 - Continuous polynomial interactions
  • 04 - Continuous by continuous interactions
  • 05 - Categorical by categorical interactions
  • 06 - Categorical by linear interactions
  • 07 - Challenge Interaction effects
  • 08 - Solution Interaction effects

    • 05 - 4. Panel Data Modeling
  • 01 - Setting up panel data
  • 02 - Setting up panel data demo
  • 03 - Panel data descriptives
  • 04 - Panel data descriptives demo
  • 05 - Panel data dynamics
  • 06 - Panel data dynamics demo
  • 07 - Linear panel estimators
  • 08 - Linear panel estimators demo
  • 09 - Random or fixed effects
  • 10 - The Hausman test demo
  • 11 - Nonlinear panel data estimators
  • 12 - Nonlinear panel data estimators demo
  • 13 - Challenge Panel data modeling
  • 14 - Solution Panel data modeling

    • 06 - 5. Random Numbers and Simulation
  • 01 - Drawing pseudorandom numbers
  • 02 - Data generating process (DGP)
  • 03 - Violating estimator assumptions
  • 04 - Monte Carlo simulation
  • 05 - Challenge Simulation
  • 06 - Solution Simulation

    • 07 - 6. Count Modeling
  • 01 - Features of count data
  • 02 - Poisson model
  • 03 - Negative binomial models
  • 04 - Truncated models
  • 05 - Zero-inflated models
  • 06 - Challenge Count modeling
  • 07 - Solution Count modeling

    • 08 - 7. Survival Analysis
  • 01 - What is survival data
  • 02 - Setting up survival data
  • 03 - Summary statistics
  • 04 - Nonparametric analysis
  • 05 - Cox proportional hazards model
  • 06 - Diagnostics for Cox models
  • 07 - Parametric proportional hazards models
  • 08 - Challenge Survival analysis
  • 09 - Solution Survival analysis

    • 09 - Conclusion
  • 01 - Next steps
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