Theory and practice in non-probability surveys : parallels between causal inference and survey inference

[1]  James Lo,et al.  Scaling Roll Call Votes with wnominate in R , 2008 .

[2]  Thomas A. Louis,et al.  Perils and potentials of self‐selected entry to epidemiological studies and surveys , 2016 .

[3]  Elizabeth A Stuart,et al.  Improving propensity score weighting using machine learning , 2010, Statistics in medicine.

[4]  Kaye Wellings,et al.  Nonprobability Web Surveys to Measure Sexual Behaviors and Attitudes in the General Population: A Comparison With a Probability Sample Interview Survey , 2014, Journal of medical Internet research.

[5]  Vasja Vehovar,et al.  Web Survey Methodology , 2015 .

[6]  J. Robins,et al.  Effect of highly active antiretroviral therapy on time to acquired immunodeficiency syndrome or death using marginal structural models. , 2003, American journal of epidemiology.

[7]  Mario Callegaro,et al.  Computing Response Metrics for Online Panels , 2008 .

[8]  Gary King,et al.  MatchIt: Nonparametric Preprocessing for Parametric Causal Inference , 2011 .

[9]  Andrew Gelman,et al.  Bayesian Multilevel Estimation with Poststratification: State-Level Estimates from National Polls , 2004, Political Analysis.

[10]  Matthias Schonlau,et al.  Are 'Webographic' or Attitudinal Questions Useful for Adjusting Estimates from Web Surveys Using Propensity Scoring? , 2007 .

[11]  John Bremer,et al.  A Smarter Way to Select Respondents for Surveys? , 2012 .

[12]  John Bremer,et al.  The Interaction of Sampling and Weighting In Producing a Representative Sample Online , 2013, Journal of Advertising Research.

[13]  Chuck Miller,et al.  The Impact of Survey Routers On Sampling and Surveys , 2014, Journal of Advertising Research.

[14]  J. Robins,et al.  Estimating causal effects from epidemiological data , 2006, Journal of Epidemiology and Community Health.

[15]  Stephanie Eckman,et al.  Does the Inclusion of Non-Internet Households in a Web Panel Reduce Coverage Bias? , 2016 .

[16]  Martin Ortlieb,et al.  A Comparison of Six Sample Providers Regarding Online Privacy Benchmarks , 2014 .

[17]  R. Groves.  Nonresponse Rates and Nonresponse Bias in Household Surveys , 2006 .

[18]  W. Shadish,et al.  Experimental and Quasi-Experimental Designs for Generalized Causal Inference , 2001 .

[19]  Richard Valliant,et al.  Finite population sampling and inference : a prediction approach , 2000 .

[20]  Stephen Ansolabehere,et al.  Cooperative Survey Research , 2013 .

[21]  D. Rubin.  Estimating causal effects of treatments in randomized and nonrandomized studies. , 1974 .

[22]  J. Myers,et al.  Effects of adjusting for instrumental variables on bias and precision of effect estimates. , 2011, American journal of epidemiology.

[23]  D. Yeager,et al.  Comparing the Accuracy of RDD Telephone Surveys and Internet Surveys Conducted with Probability and Non-Probability Samples , 2011 .

[24]  Roderick J. A. Little,et al.  Statistical Analysis with Missing Data , 1988 .

[25]  Donald B. Rubin,et al.  Bayesian Inference for Causal Effects: The Role of Randomization , 1978 .

[26]  D. Rubin,et al.  Causal Inference for Statistics, Social, and Biomedical Sciences: A General Method for Estimating Sampling Variances for Standard Estimators for Average Causal Effects , 2015 .

[27]  S. Cole,et al.  Generalizing evidence from randomized clinical trials to target populations: The ACTG 320 trial. , 2010, American journal of epidemiology.

[28]  J. Pearl.  Causality: Models, Reasoning and Inference , 2000 .

[29]  Benjamin M Craig,et al.  Comparison of US Panel Vendors for Online Surveys , 2013, Journal of medical Internet research.

[30]  David R. Holtgrave,et al.  Alternatives to the randomized controlled trial. , 2008, American journal of public health.

[31]  A. Gelman,et al.  Deep Interactions with MRP: Election Turnout and Voting Patterns Among Small Electoral Subgroups , 2013 .

[32]  J M Robins,et al.  Identifiability, exchangeability, and epidemiological confounding. , 1986, International journal of epidemiology.

[33]  Paul J. Lavrakas,et al.  Quota Controls in Survey Research , 2015, Journal of Advertising Research.

[34]  Jennifer Hill,et al.  Assessing Methods for Generalizing Experimental Impact Estimates to Target Populations , 2016, Journal of research on educational effectiveness.

[35]  C. Särndal,et al.  Calibration Estimators in Survey Sampling , 1992 .

[36]  Charles F. Manski,et al.  Identification for Prediction and Decision , 2008 .

[37]  Catherine P. Bradshaw,et al.  Assessing the Generalizability of Randomized Trial Results to Target Populations , 2015, Prevention Science.

[38]  Elias Bareinboim,et al.  External Validity: From Do-Calculus to Transportability Across Populations , 2014, Probabilistic and Causal Inference.

[39]  D. Horvitz,et al.  A Generalization of Sampling Without Replacement from a Finite Universe , 1952 .

[40]  Joshua D. Angrist,et al.  Mostly Harmless Econometrics: An Empiricist's Companion , 2008 .

[41]  Roderick J. A. Little,et al.  Proxy Pattern-Mixture Analysis for Survey Nonresponse , 2011 .

[42]  Catherine P. Bradshaw,et al.  The use of propensity scores to assess the generalizability of results from randomized trials , 2011, Journal of the Royal Statistical Society. Series A,.

[43]  Humphrey Taylor,et al.  Does Internet Research Work? , 2000 .

[44]  Peter M. Steiner,et al.  The importance of covariate selection in controlling for selection bias in observational studies. , 2010, Psychological methods.

[45]  Mario Callegaro,et al.  A critical review of studies investigating the quality of data obtained with online panels based on probability and nonprobability samples1 , 2014 .

[46]  J. Robins,et al.  Identifiability, exchangeability and confounding revisited , 2009, Epidemiologic perspectives & innovations : EP+I.

[47]  David M. Rothschild,et al.  Forecasting elections with non-representative polls , 2015 .

[48]  J. Michael Brick,et al.  Unit Nonresponse and Weighting Adjustments: A Critical Review , 2013 .

[49]  Jeffrey R. Lax,et al.  Gay Rights in the States: Public Opinion and Policy Responsiveness , 2009, American Political Science Review.

[50]  Kristin E. Porter,et al.  Diagnosing and responding to violations in the positivity assumption , 2012, Statistical methods in medical research.

[51]  Matthias Schonlau,et al.  A Comparison Between Responses From a Propensity-Weighted Web Survey and an Identical RDD Survey , 2004 .

[52]  James M. Robins,et al.  Association, Causation, And Marginal Structural Models , 1999, Synthese.

[53]  Sunghee Lee,et al.  Estimation for Volunteer Panel Web Surveys Using Propensity Score Adjustment and Calibration Adjustment , 2009 .

[54]  M. Couper.  A REVIEW OF ISSUES AND APPROACHES , 2000 .

[55]  Vivian C. Wong,et al.  Three conditions under which experiments and observational studies produce comparable causal estimates: New findings from within‐study comparisons , 2008 .

[56]  Richard Valliant,et al.  Estimating Propensity Adjustments for Volunteer Web Surveys , 2011 .

[57]  D. Rubin,et al.  The central role of the propensity score in observational studies for causal effects , 1983 .

[58]  Sunghee Lee.  Propensity score adjustment as a weighting scheme for volunteer panel web surveys , 2006 .

[59]  Frauke Kreuter,et al.  Practical Tools for Designing and Weighting Survey Samples , 2015 .

[60]  Douglas Rivers,et al.  Sampling for Web Surveys , 2007, Handbook of Web Surveys.