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Advanced and Specialized Statistics with Stata

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Franz Buscha and Madecraft

5:05:58

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  • 01 - Specialized statistics with Stata.mp4
    00:57
  • 02 - What you should know.mp4
    01:23
  • 01 - Formatting the display of variables.mp4
    05:56
  • 02 - Date and time variables.mp4
    06:41
  • 03 - Repeating commands by looping over variables.mp4
    05:02
  • 04 - Repeating commands by looping over numbers.mp4
    05:34
  • 05 - Repeating commands by looping within loops.mp4
    04:43
  • 06 - Accessing results saved from Stata commands.mp4
    07:12
  • 07 - Challenge More on data management.mp4
    00:52
  • 08 - Solution More on data management.mp4
    05:15
  • 01 - Changing the look of markers.mp4
    04:50
  • 02 - Changing graph colors.mp4
    05:31
  • 03 - Graphing by groups.mp4
    05:45
  • 04 - Controlling legends.mp4
    05:46
  • 05 - Adding text and textboxes.mp4
    06:43
  • 06 - Sizing graphs.mp4
    04:13
  • 07 - Combining graphs.mp4
    04:50
  • 08 - How to use jitter.mp4
    04:37
  • 09 - How to draw custom functions.mp4
    03:19
  • 10 - Challenge More on visualization techniques.mp4
    00:55
  • 11 - Solution More on visualization techniques.mp4
    03:55
  • 01 - What is an interaction effect.mp4
    03:54
  • 02 - How to use margins and marginsplot.mp4
    06:37
  • 03 - Continuous polynomial interactions.mp4
    05:49
  • 04 - Continuous by continuous interactions.mp4
    06:19
  • 05 - Categorical by categorical interactions.mp4
    05:46
  • 06 - Categorical by linear interactions.mp4
    05:37
  • 07 - Challenge Interaction effects.mp4
    00:43
  • 08 - Solution Interaction effects.mp4
    05:13
  • 01 - Setting up panel data.mp4
    04:13
  • 02 - Setting up panel data demo.mp4
    03:40
  • 03 - Panel data descriptives.mp4
    03:16
  • 04 - Panel data descriptives demo.mp4
    05:52
  • 05 - Panel data dynamics.mp4
    03:34
  • 06 - Panel data dynamics demo.mp4
    05:52
  • 07 - Linear panel estimators.mp4
    05:53
  • 08 - Linear panel estimators demo.mp4
    05:15
  • 09 - Random or fixed effects.mp4
    02:20
  • 10 - The Hausman test demo.mp4
    02:14
  • 11 - Nonlinear panel data estimators.mp4
    02:27
  • 12 - Nonlinear panel data estimators demo.mp4
    05:18
  • 13 - Challenge Panel data modeling.mp4
    00:50
  • 14 - Solution Panel data modeling.mp4
    06:47
  • 01 - Drawing pseudorandom numbers.mp4
    05:29
  • 02 - Data generating process (DGP).mp4
    04:07
  • 03 - Violating estimator assumptions.mp4
    05:28
  • 04 - Monte Carlo simulation.mp4
    05:34
  • 05 - Challenge Simulation.mp4
    00:47
  • 06 - Solution Simulation.mp4
    04:51
  • 01 - Features of count data.mp4
    05:45
  • 02 - Poisson model.mp4
    07:18
  • 03 - Negative binomial models.mp4
    06:19
  • 04 - Truncated models.mp4
    06:28
  • 05 - Zero-inflated models.mp4
    08:28
  • 06 - Challenge Count modeling.mp4
    00:45
  • 07 - Solution Count modeling.mp4
    05:03
  • 01 - What is survival data.mp4
    04:11
  • 02 - Setting up survival data.mp4
    05:43
  • 03 - Summary statistics.mp4
    05:25
  • 04 - Nonparametric analysis.mp4
    06:10
  • 05 - Cox proportional hazards model.mp4
    06:59
  • 06 - Diagnostics for Cox models.mp4
    05:14
  • 07 - Parametric proportional hazards models.mp4
    07:37
  • 08 - Challenge Survival analysis.mp4
    00:43
  • 09 - Solution Survival analysis.mp4
    05:10
  • 01 - Next steps.mp4
    00:56
  • Description


    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.

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    Franz Buscha and Madecraft
    Franz Buscha and Madecraft
    Instructor's Courses
    Franz is a labour economist with more than 15 years of research experience. Research interests include education economics, labour economics and econometrics. Franz has published in leading journals such as the European Economic Review, Economics of Education Review, the Oxford Bulletin of Economics and Statistics, the British Journal of Political Science and the British Journal of Sociology and contributed to numerous policy reports for UK government departments (including DFE, HMRC, BIS, MOD, and HMT). His research has been covered by various media outlets such as the BBC News, BBC Radio 4, The Economist, The Guardian, The Times and the Huffington Post. Franz has held various academic roles and is currently the faculty director of research for the Westminster Business School. In this role he is responsible for the faculty's research strategy and oversees the research activities of 200 members of staff.
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 66
    • duration 5:05:58
    • English subtitles has
    • Release Date 2024/02/10