This class is based on the program designed by Kosuke Imai (Princeton)
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Reading:
R
R
GUI: R-Studio
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.
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Arithmetic functions and operators
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.
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.
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Readings:
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.
Reading:
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.
Reading:
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.
Reading:
Reading:
Gelman, A., & Loken, E. (2014). The Statistical Crisis in Science Data-dependent analysis—a “garden of forking paths”—explains why many statistically significant comparisons don’t hold up. Am Sci, 102(6), 460.
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