{"id":"W7161794840","doi":"10.82308/12937","title":"Targeted maximum likelihood estimation for longitudinal data","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Causal inference; Robustness (evolution); Estimator; Inverse probability weighting; Likelihood function; Missing data; Confounding; Inference; Exponential family; Marginal structural model","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01492785,0.001177702,0.002224555,0.002163278,0.0005871673,0.002243631,0.002794507,0.00168542,0.004713692],"category_scores_gemma":[0.05582215,0.00118471,0.002254878,0.002756727,0.001497889,0.002806492,0.003003425,0.003534356,0.001556298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302138,"about_ca_system_score_gemma":0.002537733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001835759,"about_ca_topic_score_gemma":0.001799067,"domain_scores_codex":[0.9916808,0.006432596,0.0003023591,0.0007126223,0.0007039809,0.0001675789],"domain_scores_gemma":[0.963488,0.03119629,0.001326106,0.002600317,0.001212067,0.0001771573],"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":[0.000146825,0.0001187613,0.003966591,0.001093157,0.0007188095,0.0002666838,0.0004748162,0.2930817,0.001430866,0.4487512,0.007036469,0.2429141],"study_design_scores_gemma":[0.00004635853,0.00006149391,0.0006781631,0.0001283469,0.00005870689,0.00008697549,0.00006092302,0.7158955,0.0007353447,0.2750494,0.00716479,0.00003409799],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005832146,0.0002215203,0.998639,0.00009988874,0.00001262118,0.00002851565,0.00005667635,0.000111508,0.0002470491],"genre_scores_gemma":[0.08615956,0.002092675,0.905688,0.0003301782,0.0001745666,0.001143208,0.0008611697,0.0002983941,0.003252315],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01492785,"threshold_uncertainty_score":0.07894695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2025923458627461,"score_gpt":0.449120704485962,"score_spread":0.2465283586232159,"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."}}