{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1236664,0.001920657,0.002660166,0.004635902,0.001227696,0.003669724,0.003657496,0.002388369,0.01785894],"category_scores_gemma":[0.3298706,0.001215712,0.006677617,0.008079628,0.001870369,0.004618692,0.003580127,0.004420967,0.002470668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001861583,"about_ca_system_score_gemma":0.006587247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006110122,"about_ca_topic_score_gemma":0.004463773,"domain_scores_codex":[0.9028565,0.07859636,0.005808572,0.005393478,0.006486295,0.0008587664],"domain_scores_gemma":[0.805305,0.1353161,0.01499237,0.0347597,0.008900907,0.0007258205],"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":[0.002377745,0.0007736342,0.06811935,0.003327951,0.01209773,0.0004731423,0.001447131,0.08870691,0.00117376,0.3253165,0.03856699,0.4576191],"study_design_scores_gemma":[0.001849728,0.001826966,0.02740024,0.001703032,0.004345447,0.0006276006,0.0004007434,0.2935168,0.003956825,0.5642409,0.09975441,0.00037725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00480257,0.0004319402,0.9879552,0.0004304772,0.0002019415,0.002759252,0.001117932,0.0005238212,0.001776886],"genre_scores_gemma":[0.136949,0.001151099,0.8441992,0.0006745722,0.0002642552,0.01034381,0.002632092,0.000413099,0.003372945],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1236664,"threshold_uncertainty_score":0.654018,"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."}}