Why Propensity Scores Should Not Be Used for Matching
来源期刊：Political AnalysisDOI：10.1017/PAN.2019.11
Waking up the Golden Dawn : does exposure to the refugee crisis increase support for extreme-right parties?
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.48
Measuring Subgroup Preferences in Conjoint Experiments
来源期刊：Political AnalysisDOI：10.1017/PAN.2019.30
How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice
来源期刊：Political AnalysisDOI：10.1017/pan.2018.46
Emotional Arousal Predicts Voting on the U.S. Supreme Court
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.47
A Theory of Statistical Inference for Matching Methods in Causal Research
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.29
Why Does the American National Election Study Overestimate Voter Turnout
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.36
List Experiments with Measurement Error
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.56
Exploring the Dynamics of Latent Variable Models
来源期刊：Political AnalysisDOI：10.2139/SSRN.2828703
A Regression-with-Residuals Method for Estimating Controlled Direct Effects
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.53
Estimating Smooth Country-Year Panels of Public Opinion
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.32
How cross-validation can go wrong and what to do about it
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.39
Not so harmless after all : the fixed-effects model
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.17
Improving Supreme Court Forecasting Using Boosted Decision Trees
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.59
Machine Learning Human Rights and Wrongs: How the Successes and Failures of Supervised Learning Algorithms Can Inform the Debate About Information Effects
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.11
Bias in Self-reported Voting and How it Distorts Turnout Models: Disentangling Nonresponse Bias and Overreporting Among Danish Voters
来源期刊：Political AnalysisDOI：10.1017/PAN.2019.9
A Multinomial Framework for Ideal Point Estimation
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.31
Forecasting Elections in Multiparty Systems: A Bayesian Approach Combining Polls and Fundamentals
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.49
Comparative Research is Harder Than We Thought: Regional Differences in Experts’ Understanding of Electoral Integrity Questions
来源期刊：Political AnalysisDOI：10.1017/PAN.2019.24
Measuring Geographic Distribution for Political Research
来源期刊：Political AnalysisDOI：10.1017/PAN.2019.14
Measurement Uncertainty in Spatial Models: A Bayesian Dynamic Measurement Model
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.35
Measuring Polarization with Text Analysis: Evidence from the UK House of Commons, 1811–2015
来源期刊：Political AnalysisDOI：10.1017/PAN.2019.2
Seeing the Forest through the Trees
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.45
A Bounds Approach to Inference Using the Long Run Multiplier
来源期刊：Political AnalysisDOI：10.1017/PAN.2019.3
The External Validity of College Student Subject Pools in Experimental Research: A Cross-Sample Comparison of Treatment Effect Heterogeneity
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.42
Dynamic Ecological Inference for Time-Varying Population Distributions Based on Sparse, Irregular, and Noisy Marginal Data
来源期刊：Political AnalysisDOI：10.1017/PAN.2019.4
Predicting Network Events to Assess Goodness of Fit of Relational Event Models
来源期刊：Political AnalysisDOI：10.1017/PAN.2019.10
A Bayesian Split Population Survival Model for Duration Data With Misclassified Failure Events
来源期刊：Political AnalysisDOI：10.1017/pan.2019.6
Testing the Validity of Automatic Speech Recognition for Political Text Analysis
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.62
A Local Structure Graph Model: Modeling Formation of Network Edges as a Function of Other Edges
来源期刊：Political AnalysisDOI：10.1017/PAN.2019.8
Hierarchical Item Response Models for Analyzing Public Opinion
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.63
Relaxing the No Liars Assumption in List Experiment Analyses
来源期刊：Political AnalysisDOI：10.1017/PAN.2019.7
Replications in Context: A Framework for Evaluating New Methods in Quantitative Political Science
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.54
What Can Instrumental Variables Tell Us About Nonresponse In Household Surveys and Political Polls
来源期刊：Political AnalysisDOI：10.1017/PAN.2018.58
