Theory and practice in non-probability surveys : parallels between causal inference and survey inference
暂无分享,去创建一个
Elizabeth A. Stuart | Frauke Kreuter | Elizabeth A. Stuart | Scott Keeter | Scott Keeter | Andrew W. Mercer | E. Stuart | F. Kreuter | S. Keeter | Andrew W. Mercer
[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.