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Matches in DBpedia 2016-04 for { <http://dbpedia.org/resource/Propensity_score_matching> ?p ?o }

• Propensity_score_matching abstract "In the statistical analysis of observational data, propensity score matching (PSM) is a statistical matching technique that attempts to estimate the effect of a treatment, policy, or other intervention by accounting for the covariates that predict receiving the treatment. PSM attempts to reduce the bias due to confounding variables that could be found in an estimate of the treatment effect obtained from simply comparing outcomes among units that received the treatment versus those that did not. The technique was first published by Paul Rosenbaum and Donald Rubin in 1983, and implements the Rubin causal model for observational studies.The possibility of bias arises because the apparent difference in outcome between these two groups of units may depend on characteristics that affected whether or not a unit received a given treatment instead of due to the effect of the treatment per se. In randomized experiments, the randomization enables unbiased estimation of treatment effects; for each covariate, randomization implies that treatment-groups will be balanced on average, by the law of large numbers. Unfortunately, for observational studies, the assignment of treatments to research subjects is typically not random. Matching attempts to mimic randomization by creating a sample of units that received the treatment that is comparable on all observed covariates to a sample of units that did not receive the treatment.For example, one may be interested to know the consequences of smoking or the consequences of going to university. The people 'treated' are simply those—the smokers, or the university graduates—who in the course of everyday life undergo whatever it is that is being studied by the researcher. In both of these cases it is unfeasible (and perhaps unethical) to randomly assign people to smoking or a university education, so observational studies are required. The treatment effect estimated by simply comparing a particular outcome—rate of cancer or life time earnings—between those who smoked and did not smoke or attended university and did not attend university would be biased by any factors that predict smoking or university attendance, respectively. PSM attempts to control for these differences to make the groups receiving treatment and not-treatment more comparable.".
• Propensity_score_matching wikiPageID "16722927".
• Propensity_score_matching wikiPageLength "12130".
• Propensity_score_matching wikiPageOutDegree "36".
• Propensity_score_matching wikiPageRevisionID "692758416".
• Propensity_score_matching wikiPageWikiLink Average_treatment_effect.
• Propensity_score_matching wikiPageWikiLink Bias_(statistics).
• Propensity_score_matching wikiPageWikiLink Category:Causal_inference.
• Propensity_score_matching wikiPageWikiLink Category:Econometrics.
• Propensity_score_matching wikiPageWikiLink Category:Epidemiology.
• Propensity_score_matching wikiPageWikiLink Category:Observational_study.
• Propensity_score_matching wikiPageWikiLink Category:Regression_analysis.
• Propensity_score_matching wikiPageWikiLink Conditional_probability.
• Propensity_score_matching wikiPageWikiLink Confounding.
• Propensity_score_matching wikiPageWikiLink Covariate.
• Propensity_score_matching wikiPageWikiLink Donald_Rubin.
• Propensity_score_matching wikiPageWikiLink Econometrica.
• Propensity_score_matching wikiPageWikiLink Estimation_theory.
• Propensity_score_matching wikiPageWikiLink Geometric_progression.
• Propensity_score_matching wikiPageWikiLink Heckman_correction.
• Propensity_score_matching wikiPageWikiLink Independence_(probability_theory).
• Propensity_score_matching wikiPageWikiLink Inductive_reasoning.
• Propensity_score_matching wikiPageWikiLink Judea_Pearl.
• Propensity_score_matching wikiPageWikiLink Law_of_large_numbers.
• Propensity_score_matching wikiPageWikiLink Logistic_regression.
• Propensity_score_matching wikiPageWikiLink Mahalanobis_distance.
• Propensity_score_matching wikiPageWikiLink Matching_(statistics).
• Propensity_score_matching wikiPageWikiLink Nearest_neighbor_search.
• Propensity_score_matching wikiPageWikiLink Observational_study.
• Propensity_score_matching wikiPageWikiLink Probability.
• Propensity_score_matching wikiPageWikiLink R_(programming_language).
• Propensity_score_matching wikiPageWikiLink Randomized_experiment.
• Propensity_score_matching wikiPageWikiLink Rubin_causal_model.
• Propensity_score_matching wikiPageWikiLink Selection_bias.
• Propensity_score_matching wikiPageWikiLink Stata.
• Propensity_score_matching wikiPageWikiLink Statistical_unit.
• Propensity_score_matching wikiPageWikiLink Statistics.
• Propensity_score_matching wikiPageWikiLink Stratified_sampling.
• Propensity_score_matching wikiPageWikiLink Treatment_and_control_groups.
• Propensity_score_matching wikiPageWikiLinkText "Propensity score matching".
• Propensity_score_matching wikiPageWikiLinkText "matched sample estimation".
• Propensity_score_matching wikiPageWikiLinkText "propensity score matching".
• Propensity_score_matching wikiPageWikiLinkText "propensity scores".
• Propensity_score_matching wikiPageWikiLinkText "propensity-adjusted".
• Propensity_score_matching wikiPageUsesTemplate Template:Cite_journal.
• Propensity_score_matching wikiPageUsesTemplate Template:Least_squares_and_regression_analysis.
• Propensity_score_matching wikiPageUsesTemplate Template:Reflist.
• Propensity_score_matching wikiPageUsesTemplate Template:Statistics.
• Propensity_score_matching wikiPageUsesTemplate Template:Who.
• Propensity_score_matching subject Category:Causal_inference.
• Propensity_score_matching subject Category:Econometrics.
• Propensity_score_matching subject Category:Epidemiology.
• Propensity_score_matching subject Category:Observational_study.
• Propensity_score_matching subject Category:Regression_analysis.
• Propensity_score_matching hypernym Technique.
• Propensity_score_matching type Model.
• Propensity_score_matching type TopicalConcept.
• Propensity_score_matching type Type.
• Propensity_score_matching type Biostatistic.
• Propensity_score_matching type Econometric.
• Propensity_score_matching type Field.
• Propensity_score_matching type Model.
• Propensity_score_matching type Redirect.
• Propensity_score_matching type Science.
• Propensity_score_matching type Type.
• Propensity_score_matching comment "In the statistical analysis of observational data, propensity score matching (PSM) is a statistical matching technique that attempts to estimate the effect of a treatment, policy, or other intervention by accounting for the covariates that predict receiving the treatment. PSM attempts to reduce the bias due to confounding variables that could be found in an estimate of the treatment effect obtained from simply comparing outcomes among units that received the treatment versus those that did not.".
• Propensity_score_matching label "Propensity score matching".
• Propensity_score_matching sameAs Q7250160.
• Propensity_score_matching sameAs প্রবণতা_সূচক.
• Propensity_score_matching sameAs Pareamiento_por_puntaje_de_propensión.
• Propensity_score_matching sameAs m.04046zl.
• Propensity_score_matching sameAs Q7250160.
• Propensity_score_matching sameAs 倾向评分匹配.
• Propensity_score_matching wasDerivedFrom Propensity_score_matching?oldid=692758416.
• Propensity_score_matching isPrimaryTopicOf Propensity_score_matching.