{"id":"W59313137","doi":"10.22237/jmasm/1051747560","title":"Analyzing Group by Time Effects in Longitudinal Two-Group Randomized Trial Designs With Missing Data","year":2003,"lang":"en","type":"article","venue":"Journal of Modern Applied Statistical Methods","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Missing data; Mathematics; Statistics; Group (periodic table); Type I and type II errors; Repeated measures design; Range (aeronautics); Sampling (signal processing); Econometrics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","metaepi_narrow"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05959051,0.0006159254,0.00429922,0.0003034851,0.0001385891,0.0001955718,0.0009340101,0.0003119642,0.0003041194],"category_scores_gemma":[0.2086129,0.0004358858,0.0002558943,0.0005325646,0.0006440616,0.0002156002,0.0001757576,0.001533926,0.000007629254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001904022,"about_ca_system_score_gemma":0.0002054163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006052144,"about_ca_topic_score_gemma":0.000002189055,"domain_scores_codex":[0.9747809,0.01818294,0.003967767,0.0009635491,0.001217882,0.0008869488],"domain_scores_gemma":[0.7181144,0.2787302,0.001613399,0.0008611025,0.0001499153,0.0005309801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.4361441,0.001420351,0.0000209521,0.0002635494,0.0007930853,0.0002810654,0.00008208694,0.0000364003,0.008021179,0.3477015,0.0008790628,0.2043567],"study_design_scores_gemma":[0.3302342,0.0005548889,0.000008615436,0.0001889636,0.0009979068,0.0000533159,0.00000830236,0.01424637,0.0003973767,0.6529147,0.00004593328,0.0003494065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007491746,0.0003623691,0.995031,0.00006874066,0.0004071117,0.001827791,0.00009808101,0.00003879035,0.001416923],"genre_scores_gemma":[0.01659383,0.00002740471,0.9828008,0.00007884276,0.0002892714,0.00006174002,0.00001109596,0.0001156423,0.00002133836],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3052132,"threshold_uncertainty_score":0.9998093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3885421571742617,"score_gpt":0.5491069104777841,"score_spread":0.1605647533035225,"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."}}