{"id":"W3010442290","doi":"10.1002/sim.8519","title":"Sample size and power calculations for open cohort longitudinal cluster randomized trials","year":2020,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; National Health and Medical Research Council; Medical Research Council Canada","keywords":"Sample size determination; Statistics; Cohort; Sample (material); Sampling (signal processing); Cluster sampling; Cluster (spacecraft); Statistical power; Autocorrelation; Econometrics; Mathematics; Psychology; Demography; Computer science; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2015838,0.002520467,0.004476851,0.005710643,0.001248992,0.003354147,0.005257105,0.005359858,0.02033441],"category_scores_gemma":[0.5822688,0.001570399,0.005473439,0.004200716,0.003084213,0.004852386,0.003180663,0.008086449,0.00430987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002732918,"about_ca_system_score_gemma":0.0038736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009228605,"about_ca_topic_score_gemma":0.0008595765,"domain_scores_codex":[0.7709667,0.1820126,0.01898572,0.005825594,0.02076852,0.001440803],"domain_scores_gemma":[0.5694803,0.3813176,0.01533144,0.01737181,0.01543086,0.001067937],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.007745462,0.0006273068,0.005156196,0.01967879,0.003379938,0.0006529661,0.003140611,0.0234572,0.001675835,0.3145815,0.07680328,0.5431009],"study_design_scores_gemma":[0.009428175,0.005529869,0.007243645,0.01773624,0.003877917,0.001647224,0.0007314612,0.09797319,0.01168181,0.5857025,0.2580054,0.0004427208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003833467,0.005661733,0.9296845,0.002953477,0.002098721,0.04142924,0.002318757,0.0009563344,0.01106379],"genre_scores_gemma":[0.04227242,0.001674105,0.8138602,0.002176141,0.0005177784,0.1361815,0.0007435115,0.0005393035,0.002035054],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7984163,"threshold_uncertainty_score":0.9845893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6232407975323997,"score_gpt":0.6131850654261651,"score_spread":0.01005573210623456,"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."}}