{"id":"W2055216855","doi":"10.1016/j.jclinepi.2013.05.003","title":"The exposure-crossover design is a new method for studying sustained changes in recurrent events","year":2013,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; Health Sciences Centre","funders":"","keywords":"Confounding; Crossover; Crossover study; Confidence interval; Research design; Matching (statistics); Statistical power; Relative risk; Clinical study design; Statistics; Causal inference; Medicine; Psychology; Computer science; Mathematics; Artificial intelligence; Clinical trial; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1017921,0.001853944,0.004916854,0.002499342,0.001291422,0.001659229,0.004327153,0.004643748,0.01172309],"category_scores_gemma":[0.1380407,0.001367399,0.004749176,0.002340896,0.0029474,0.002876352,0.002788797,0.004975424,0.0007968461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008031122,"about_ca_system_score_gemma":0.002153805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001465568,"about_ca_topic_score_gemma":0.0009005371,"domain_scores_codex":[0.8942354,0.09232254,0.001883267,0.008094336,0.002813906,0.000650553],"domain_scores_gemma":[0.8094729,0.1597264,0.00613554,0.02183479,0.001601484,0.001228886],"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":[0.04642481,0.003858621,0.05042591,0.004529847,0.02057975,0.001639341,0.002591227,0.0343623,0.009434623,0.4397318,0.009373659,0.3770481],"study_design_scores_gemma":[0.03819015,0.0254985,0.0214136,0.0008107192,0.01112971,0.002292528,0.0005270588,0.2083694,0.004189816,0.6607985,0.02626505,0.0005149718],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02017437,0.001253353,0.974384,0.0007445482,0.0006711102,0.001083057,0.0006724755,0.0002853897,0.0007318173],"genre_scores_gemma":[0.3355224,0.002011174,0.6379041,0.001986328,0.001204392,0.01330898,0.001265172,0.0001997485,0.006597737],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8982079,"threshold_uncertainty_score":0.5383344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7022817653295406,"score_gpt":0.6384360823110963,"score_spread":0.06384568301844429,"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."}}