Sample Size Calculation for PICOT-Based Study Designs
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Documentation for package ‘PICOTsize’ version 0.1.0
Help Pages
| apply_dropout | Adjust a raw sample size for expected dropout |
| calc_casecontrol | Sample size for a case-control study |
| calc_cohort | Sample size for a cohort study |
| calc_crosssectional_binary | Sample size for a cross-sectional study with a binary outcome |
| calc_crosssectional_continuous | Sample size for a cross-sectional study with a continuous outcome |
| calc_diagnostic_accuracy | Sample size to estimate the sensitivity and specificity of a diagnostic test |
| calc_trial_equivalence | Sample size for an equivalence trial (binary outcome) |
| calc_trial_noninferiority | Sample size for a non-inferiority trial (binary outcome) |
| calc_trial_superiority | Sample size for a superiority trial (binary outcome) |
| generate_report_text | Generate a Methods-section paragraph from a sample size result |
| run_app | Launch the PICOTsize Shiny app |