11 results
Hypothesis Tests under Separation
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- Journal:
- Political Analysis / Volume 32 / Issue 2 / April 2024
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- 07 September 2023, pp. 172-185
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A careful consideration of CLARIFY: simulation-induced bias in point estimates of quantities of interest – CORRIGENDUM
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- Political Science Research and Methods , First View
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- 07 July 2023, p. 1
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A careful consideration of CLARIFY: simulation-induced bias in point estimates of quantities of interest
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- Political Science Research and Methods , First View
- Published online by Cambridge University Press:
- 28 April 2023, pp. 1-10
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Estimating logit models with small samples
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- Political Science Research and Methods / Volume 9 / Issue 3 / July 2021
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- 29 March 2021, pp. 549-564
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When BLUE is not best: non-normal errors and the linear model
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- Political Science Research and Methods / Volume 8 / Issue 1 / January 2020
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- 09 October 2018, pp. 136-148
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Transformation-Induced Bias: Unbiased Coefficients Do Not Imply Unbiased Quantities of Interest
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- Political Analysis / Volume 25 / Issue 3 / July 2017
- Published online by Cambridge University Press:
- 11 July 2017, pp. 402-409
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Unreliable Inferences About Unobserved Processes: A Critique of Partial Observability Models*
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- Political Science Research and Methods / Volume 6 / Issue 2 / April 2018
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- 20 March 2017, pp. 381-391
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Dealing with Separation in Logistic Regression Models
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- Political Analysis / Volume 24 / Issue 3 / Summer 2016
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- 04 January 2017, pp. 339-355
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Compression and Conditional Effects: A Product Term Is Essential When Using Logistic Regression to Test for Interaction*
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- Political Science Research and Methods / Volume 4 / Issue 3 / September 2016
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- 26 November 2015, pp. 621-639
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The Politics of Need: Examining Governors' Decisions to Oppose the “Obamacare” Medicaid Expansion
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- State Politics & Policy Quarterly / Volume 14 / Issue 4 / December 2014
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- 25 January 2021, pp. 437-460
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- December 2014
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The Question(s) of Political Knowledge
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- American Political Science Review / Volume 108 / Issue 4 / November 2014
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- 20 November 2014, pp. 840-855
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- November 2014
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