Making the Most of Statistical Analyses: Improving Interpretation and Presentation

By Gary King, Michael Tomz, Jason Wittenberg. 2000

3,448 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e020a3845929ace87fdde17ad4c08aec6667ab9b

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Citations in the corpus

Logistic Regression in Rare Events Data (2001, methodology): “Data sets of this size are not uncommon in international relations, but they make data management difficult, statistical analyses time-consuming, and data collection expensive.1 (Even the more common 5000–10000 observation data sets are inconvenient to deal with if one has to collect variables for…”
Environmental Stressors and Migration: Evidence from Vietnam (2016, methodology): “First-difference estimates calculated based on education (Model 5) in Table 3 using simulated parameter values (King et al., 2000).”
The Reductionist Gamble: Open Economy Politics in the Global Economy (2011, background): “…own macroeconomic imbalances is the best way to reduce the prob- 53+ Leblang and Bernhard 2000, 318, 320+ I estimated these marginal effects using Clarify ~King, Tomz, and Wittenberg 2000!+ ability of falling victim to a speculative attack+ The full transition model suggests that a government…”
The paradox of openness: Appropriability, external search and collaboration (2014, methodology): “To graph the relationships, we apply a simulation-based technique proposed by King et al. (2000) and introduced to management research by Zelner (2009).”
Causal Mediation Analysis (2011, methodology): “The structure of the algorithm is a function of the theoretical results linking the sequential ignorability assumption and the mediation effect, and the calculation of uncertainty estimates is based on the quasi-Bayesian Monte Carlo approximation of King et al. (2000). While this algorithm can be ap”
Interpreting Regression Results using Average Marginal Effects with R ’ s margins (2017, methodology): “With respect to the latter critique, the subsequent section then discusses the delta method approach to approximating variances of marginal effects, something (author?) [10] discuss but dismiss.”
Empirical Modeling of Policy Diffusion in Federal States: The Dyadic Approach (2008, methodology): “Figures 2–5 show predicted probabilities and the associated confidence intervals, computed with Clarify (King, Tomz, and Wittenberg 2000).”