{"id":"W4402323319","doi":"10.1002/pst.2436","title":"Propensity Score Analysis With Baseline and Follow‐Up Measurements of the Outcome Variable","year":2024,"lang":"en","type":"article","venue":"Pharmaceutical Statistics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Propensity score matching; Baseline (sea); Statistics; Weighting; Estimator; Observational study; Variable (mathematics); Matching (statistics); Regression analysis; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007869584,0.0001703131,0.000357964,0.00006721527,0.00006970308,0.00004445928,0.0001576551,0.00004543633,0.0001834842],"category_scores_gemma":[0.0009632595,0.00009905957,0.00004774709,0.0006556474,0.0001966064,0.00008251629,0.0001253896,0.0002745095,0.00000255996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005735418,"about_ca_system_score_gemma":0.00006110372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002442847,"about_ca_topic_score_gemma":0.0000404796,"domain_scores_codex":[0.9985611,0.0001281236,0.0003737982,0.0002489322,0.0004663509,0.0002216885],"domain_scores_gemma":[0.998556,0.0007638929,0.00008327199,0.0002739594,0.0002202078,0.0001026787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002968237,0.0003582284,0.4034584,0.0024672,0.00282396,0.00005425642,0.0003234084,0.0001283463,0.006094722,0.5673823,0.003764887,0.01284751],"study_design_scores_gemma":[0.002461731,0.0004303671,0.01613274,0.0008163691,0.02001655,0.00005236003,0.00004763489,0.1291406,0.08975075,0.733953,0.005820202,0.001377707],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01806534,0.0001271427,0.9802366,0.0001289984,0.00009485927,0.0004307396,0.0002990825,0.0001384186,0.0004787592],"genre_scores_gemma":[0.7782694,0.00001828248,0.2211658,0.0001264915,0.00001932223,0.00002012221,0.000009976268,0.00002505016,0.000345553],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7602041,"threshold_uncertainty_score":0.4039532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4838276404501285,"score_gpt":0.4782297378790365,"score_spread":0.005597902571091995,"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."}}