{"id":"W4377138740","doi":"10.1002/pds.5639","title":"Differences in target estimands between different propensity score‐based weights","year":2023,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Sunnybrook Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care","keywords":"Propensity score matching; Weighting; Statistic; Average treatment effect; Statistics; Mathematics; Matching (statistics); Observational study; Inverse probability weighting; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1001327,0.0008628803,0.001099941,0.001903445,0.0005782863,0.002526666,0.001651503,0.001440062,0.003438562],"category_scores_gemma":[0.272726,0.000568838,0.00224529,0.001566103,0.002344063,0.003511806,0.002641333,0.002705671,0.0003360901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698852,"about_ca_system_score_gemma":0.00143942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000916494,"about_ca_topic_score_gemma":0.0005813603,"domain_scores_codex":[0.9486977,0.04054629,0.002226015,0.002720787,0.004968985,0.0008402433],"domain_scores_gemma":[0.7451169,0.2223373,0.01078586,0.01622013,0.004603582,0.0009362285],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004053774,0.00100817,0.1315462,0.001050009,0.00380766,0.0003075679,0.0018607,0.2747964,0.003275228,0.3842146,0.002537,0.1915428],"study_design_scores_gemma":[0.001487465,0.00210603,0.07335027,0.0006371593,0.001408212,0.0006529914,0.000527791,0.4297571,0.008525553,0.4752645,0.006074441,0.0002085296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.300042,0.0007761794,0.6892981,0.001140251,0.00008040408,0.001070593,0.0004743255,0.0002381297,0.00688019],"genre_scores_gemma":[0.9169761,0.0002940256,0.08064067,0.0002181263,0.00002985842,0.000927103,0.0003261937,0.00004713943,0.0005407968],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8998672,"threshold_uncertainty_score":0.5295589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2828403345970821,"score_gpt":0.4318202581740272,"score_spread":0.1489799235769452,"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."}}