Philip Waggoner

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All published works
Action Title Year Authors
+ A batch process for high dimensional imputation 2023 Philip Waggoner
+ hdImpute: A Batch Process for High Dimensional Imputation 2022 Philip Waggoner
+ see: An R Package for Visualizing Statistical Models 2021 Daniel LĂŒdecke
Indrajeet Patil
Mattan S. Ben‐Shachar
Brenton M. Wiernik
Philip Waggoner
Dominique Makowski
+ PDF Chat see: An R Package for Visualizing Statistical Models 2021 Daniel LĂŒdecke
Indrajeet Patil
Mattan S. Ben‐Shachar
Brenton M. Wiernik
Philip Waggoner
Dominique Makowski
+ PDF Chat Modern Dimension Reduction 2021 Philip Waggoner
+ PDF Chat Pursuing open-source development of predictive algorithms: the case of criminal sentencing algorithms 2021 Philip Waggoner
Alec Macmillen
+ PDF Chat Modern Dimension Reduction 2021 Philip Waggoner
+ performance: An R Package for Assessment, Comparison and Testing of Statistical Models 2021 Daniel LĂŒdecke
Mattan S. Ben‐Shachar
Indrajeet Patil
Philip Waggoner
Dominique Makowski
+ Modern Dimension Reduction 2021 Philip Waggoner
+ Pursuing Open-Source Development of Predictive Algorithms: The Case of Criminal Sentencing Algorithms 2020 Philip Waggoner
Alec Macmillen
+ A Simple Method for Purging Mediation Effects 2020 Philip Waggoner
+ Pandemic Policymaking: Learning the Lower Dimensional Manifold of Congressional Responsiveness 2020 Philip Waggoner
+ Pursuing Open-Source Development of Predictive Algorithms: The Case of Criminal Sentencing Algorithms 2020 Philip Waggoner
Alec Macmillen
+ see: Model Visualisation Toolbox for 'easystats' and 'ggplot2' 2019 Daniel LĂŒdecke
Dominique Makowski
Indrajeet Patil
Mattan S. Ben‐Shachar
Brenton M. Wiernik
Philip Waggoner
+ performance: Assessment of Regression Models Performance 2019 Daniel LĂŒdecke
Dominique Makowski
Mattan S. Ben‐Shachar
Indrajeet Patil
Philip Waggoner
Brenton M. Wiernik
Rémi Thériault
+ retrostudy2 code.do 2019 Ryan Kennedy
Scott Clifford
Tyler Burleigh
Philip Waggoner
Ryan Jewell
Nicholas Winter
+ Constituents have minimal influence on their legislators' policy priorities 2018 Philip Waggoner
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Methods and Algorithms for Correlation Analysis in R 2020 Dominique Makowski
Mattan S. Ben‐Shachar
Indrajeet Patil
Daniel LĂŒdecke
3
+ The Bayesian Lasso 2008 Trevor Park
George Casella
2
+ PDF Chat Modern Dimension Reduction 2021 Philip Waggoner
2
+ PDF Chat Extracting, Computing and Exploring the Parameters of Statistical Models using R 2020 Daniel LĂŒdecke
Mattan S. Ben‐Shachar
Indrajeet Patil
Dominique Makowski
2
+ PDF Chat MissForest—non-parametric missing value imputation for mixed-type data 2011 Daniel J. Stekhoven
Peter BĂŒhlmann
2
+ Regression Shrinkage and Selection Via the Lasso 1996 Robert Tibshirani
2
+ Ridge Regression: Biased Estimation for Nonorthogonal Problems 2000 Arthur E. Hoerl
Robert W. Kennard
2
+ UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction 2018 Leland McInnes
John J. Healy
2
+ Measuring explained variation in linear mixed effects models 2003 Ronghui Xu
1
+ A Simple Proof of the FWL Theorem 2008 Michael C. Lovell
1
+ Robust locally linear embedding 2005 Hong Chang
Dit‐Yan Yeung
1
+ Inference and missing data 1976 Donald B. Rubin
1
+ PDF Chat Interval Estimation for a Binomial Proportion 2001 Lawrence D. Brown
Tommaso Cai
Anirban Dasgupta
1
+ PDF Chat Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies 2011 Kosuke Imai
Luke Keele
Dustin Tingley
Teppei Yamamoto
1
+ PDF Chat The Table 2 Fallacy: Presenting and Interpreting Confounder and Modifier Coefficients 2013 Daniel Westreich
Sander Greenland
1
+ PDF Chat A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models 2013 Yeojin Chung
Sophia Rabe‐Hesketh
Vincent Dorie
Andrew Gelman
Jingchen Liu
1
+ Curse of dimensionality and particle filters 2004 Fred Daum
Jong‐Chin Huang
1
+ Partial Time Regressions as Compared with Individual Trends 1933 Ragnar Frisch
Frederick V. Waugh
1
+ An Introduction to Statistical Learning 2013 Gareth James
Daniela Witten
Trevor Hastie
Robert Tibshirani
1
+ PDF Chat Distribution based nearest neighbor imputation for truncated high dimensional data with applications to pre-clinical and clinical metabolomics studies 2017 Jasmit Shah
N. Shesh
Andrew P. DeFilippis
Bradford G. Hill
Aruni Bhatnagar
Guy Brock
1
+ Thinking Clearly About Correlations and Causation: Graphical Causal Models for Observational Data 2018 Julia M. Rohrer
1
+ PDF Chat ICS for multivariate outlier detection with application to quality control 2018 Aurore Archimbaud
Klaus Nordhausen
Anne Ruiz‐Gazen
1
+ Using Instrumental Variable Estimation to Evaluate Randomized Experiments with Imperfect Compliance. 2018 Francis L. Huang
1
+ Solving high-dimensional partial differential equations using deep learning 2018 Jiequn Han
Arnulf Jentzen
E Weinan
1
+ PDF Chat A Regression-with-Residuals Method for Estimating Controlled Direct Effects 2018 Xiang Zhou
Geoffrey T. Wodtke
1
+ PDF Chat R-squared for Bayesian Regression Models 2018 Andrew Gelman
Ben Goodrich
Jonah Gabry
Aki Vehtari
1
+ Efficient Estimation of Word Representations in Vector Space 2013 TomĂĄĆĄ Mikolov
Kai Chen
Greg S. Corrado
Jay B. Dean
1
+ PDF Chat A Systematic Review of COVID-19 Epidemiology Based on Current Evidence 2020 Minah Park
Alex R. Cook
Jue Tao Lim
Yinxiaohe Sun
Borame Sue Lee Dickens
1
+ PDF Chat Accuracy of random-forest-based imputation of missing data in the presence of non-normality, non-linearity, and interaction 2020 Shangzhi Hong
Henry Lynn
1
+ Target Estimation and Adjustment Weighting for Survey Nonresponse and Sampling Bias 2020 Devin Caughey
Adam J. Berinsky
Sara Chatfield
Erin Hartman
Eric Schickler
Jasjeet S. Sekhon
1
+ PDF Chat Factors affecting COVID-19 infected and death rates inform lockdown-related policymaking 2020 Satyaki Roy
Preetam Ghosh
1
+ COVID-19: effective policymaking depends on trust in experts, politicians, and the public 2020 Paul Cairney
Adam Wellstead
1
+ PDF Chat A Practical Introduction to Regression Discontinuity Designs 2019 Matias D. Cattaneo
NicolĂĄs Idrobo
RocĂ­o Titiunik
1
+ PDF Chat Identification, Inference and Sensitivity Analysis for Causal Mediation Effects 2010 Kosuke Imai
Luke Keele
Teppei Yamamoto
1
+ PDF Chat The MIDAS Touch: Accurate and Scalable Missing-Data Imputation with Deep Learning 2021 Ranjit Lall
Thomas Robinson
1
+ Multilevel Analysis: Techniques and Applications 2003 Timothy J. Robinson
1
+ The Political Impact of Affective Polarization: How Partisan Animus Shapes COVID-19 Attitudes 2020 James N. Druckman
Samara Klar
Yanna Krupnikov
Matthew Levendusky
John Barry Ryan
1
+ PDF Chat see: An R Package for Visualizing Statistical Models 2021 Daniel LĂŒdecke
Indrajeet Patil
Mattan S. Ben‐Shachar
Brenton M. Wiernik
Philip Waggoner
Dominique Makowski
1
+ PDF Chat Digital medicine and the curse of dimensionality 2021 Visar Berisha
Chelsea Krantsevich
P. Richard Hahn
Shira Hahn
Gautam Dasarathy
Pavan Turaga
Julie Liss
1
+ PDF Chat Causal Mediation Analysis Using R 2009 Kosuke Imai
Luke Keele
Dustin Tingley
Teppei Yamamoto
1
+ Using Shiny to Teach Econometric Models 2021 Shawna K. Jones Metzger
1
+ Ridge Regression: Biased Estimation for Nonorthogonal Problems 1970 Arthur E. Hoerl
Robert W. Kennard
1
+ Agent-Based Models of Social Life 2020 Michael Laver
1
+ PDF Chat Applied Logistic Regression 2000 David W. Hosmer
Stanley Lemeshow
1
+ PDF Chat On the Hypotheses Which Lie at the Bases of Geometry * 1873 John H. Collins
1
+ A batch process for high dimensional imputation 2023 Philip Waggoner
1
+ The Elements of Statistical Learning 2001 Trevor Hastie
J. Friedman
Robert Tibshirani
1
+ Check your outliersï»ż! An introduction to identifying statistical outliers in R with easystats 2024 RĂ©mi ThĂ©riault
Mattan S. Ben‐Shachar
Indrajeet Patil
Daniel LĂŒdecke
Brenton M. Wiernik
Dominique Makowski
1
+ Causal Mediation Analysis 2011 Raymond Hicks
Dustin Tingley
1
+ PDF Chat Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses 1989 Quang Vuong
1