{"id":"W2484604119","doi":"10.1177/0962280216658920","title":"Propensity score matching and complex surveys","year":2016,"lang":"en","type":"article","venue":"Statistical Methods in Medical Research","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Propensity score matching; Covariate; Statistics; Confounding; Matching (statistics); Sample size determination; Medicine; Population; Demography; Econometrics; Mathematics; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04732967,0.0001526485,0.00046832,0.0001913246,0.0001136459,0.00003516933,0.0003910556,0.0002029175,0.002603762],"category_scores_gemma":[0.1596704,0.00009138939,0.00001927575,0.000349031,0.001642695,0.0001012541,0.0006510787,0.001041517,0.00002154282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369862,"about_ca_system_score_gemma":0.0001890827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000135022,"about_ca_topic_score_gemma":0.0001419505,"domain_scores_codex":[0.984878,0.0116207,0.0005447335,0.0005137769,0.001647729,0.0007950766],"domain_scores_gemma":[0.9347618,0.06406335,0.0000431977,0.0003717596,0.0002496466,0.0005102865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000190565,0.00005328102,0.001373879,0.00007912275,0.000004138551,0.0001097993,0.00004977355,4.306601e-9,0.002658465,0.4401305,0.0005615331,0.5549604],"study_design_scores_gemma":[0.0003006932,0.0001305195,0.03487192,0.0003406953,0.000002297766,0.00001753813,0.00003454367,0.0001107093,0.0008863888,0.9627134,0.0004616707,0.000129608],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0172148,0.00002032209,0.9775504,0.001633163,0.00004070385,0.0004047685,0.00002171097,0.00009795216,0.003016127],"genre_scores_gemma":[0.1537364,0.00009587079,0.8458018,0.00006209577,0.00004358263,0.00006311195,0.000001900764,0.00002590527,0.0001693582],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5548308,"threshold_uncertainty_score":0.998308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7553058634596144,"score_gpt":0.6754228526511649,"score_spread":0.0798830108084495,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}