This class is based on the program designed by Kosuke Imai (Princeton)

Turned labs and attendance

Refer to this file to see labs which we have received so far

Refer to this file to check the attendance

Meeting 1: Introduction

Lecture:

  • Introduction and logistics
  • Necessary software
  • Assessment, assignments, labs, etc.

Reading:

  • QSS, Ch 1, section 1.3

Drawing Presentation

Lab:

  • Intro to R
  • Intro to R GUI: R-Studio
  • Key elements of R-Studio
  • Creating R-Markdown document
  • ‘Literate programming’ and the best practice for organizing projects
  • Assignment

Readings for annotated bibliography:

Goodman, S. N., Fanelli, D., & Ioannidis, J. P. (2016). What does research reproducibility mean?. Science translational medicine, 8(341).

Iqbal, S. A., Wallach, J. D., Khoury, M. J., Schully, S. D., & Ioannidis, J. P. (2016). Reproducible research practices and transparency across the biomedical literature. PLoS Biol, 14(1).

Stodden, V. (2010). Data sharing in social science repositories: facilitating reproducible computational research. NIPS 2010.

Submit your assignment to this link

Meeting 2: Getting acquainted with R environment

Lab:

  • Data types and vector objects
    • Atomic objects (character, logical, integer/double)
    • List
    • Attributes
    • Factors
    • Arrays and matrices
    • Data frame
  • Arithmetic functions and operators

  • Data processing
    • Subsetting,
    • Replacement
  • Assignment

Complementary reading:

Fox, J. (2002). Ethnic minorities and the clash of civilizations: A quantitative analysis of Huntington’s thesis. British journal of political science, 32(3), 415-434.

Readings for annotated bibliography:

Mearsheimer, J. J., & Walt, S. M. (2013). Leaving theory behind: Why simplistic hypothesis testing is bad for International Relations. European Journal of International Relations, 19(3), 427-457.

Drawing Presentation

Submit your assignment to this link

Meeting 3: Causality

Lecture:

  • Randomized experiments
    • Causal effects
    • Counterfactuals
    • Randomized control trials

Readings:

  • QSS, Ch. 2, section 2.1-2.4

Readings for annotated bibliography:

Höfler, M. (2005). Causal inference based on counterfactuals. BMC medical research methodology, 5(1), 28.

Holland, P. W. (1986). Statistics and causal inference. Journal of the American statistical Association, 81(396), 945-960.

Topic 4: Causality

Lecture:

  • Causality
    • Observation
  • Confounding bias
  • Before-and-after design

Reading:

  • QSS, Chapter 2, section 2.5-2.7.

Lab:

Drawing Presentation

Annotated bibliography:

Card, D., & Krueger, A. B. (1993). Minimum wages and employment: A case study of the fast food industry in New Jersey and Pennsylvania (No. w4509). National Bureau of Economic Research.

Topic 5: Causality

Lecture:

  • Difference-in-Difference estimate
  • Observational studies:
    • Statistics for one variable
    • Quantiles
    • Root of mean squares (RMS)
    • Standard deviation
  • Survey sampling

Reading:

  • QSS, chapter 3, section 3.1-3.4

Lab:

  • Data types and vector objects
  • Arithmetic operations
  • Data processing
  • Random number generation
  • Assignment

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Topic 6: Data processing

Topic 7: Measurement

Lecture:

  • Bivariate relationship

Reading:

Drawing Presentation

Topic 8: Data visualization

Lecture:

  • Data visualization with ggplot2

Reading:

  • QSS, chapter 3, section 3.3-3.4

Drawing Presentation

Annotated bibliography:

Powsner, S. M., & Tufte, E. R. (1994). Graphical summary of patient status. The Lancet, 344(8919), 386-389.

Edward Tufte. (1983). The visual display of quantitative information. Chapter 9.

Topic 9: Prediction

Lecture:

  • Prediction
  • Linear regression

Reading:

  • QSS, chapter 4, section 4.1-4.3

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Topic 10: Prediction

Lecture:

  • Assumptions of the linear regression

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Topic 11: Prediction

Lecture:

  • Regression and causality

Reading:

  • QSS, chapter 4, section 4.2-4.3

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Topic 12: Uncertainty

Lecture:

  • Estimation
  • Hypothesis testing
  • Assignment
  • Submit your assignment to this link

Reading:

  • QSS, chapter 7, section 7.1

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Topic 13: Uncertainty

Lecture:

Reading:

  • QSS, chapter 7, section 7.2-7.4

Drawing Presentation