Transcription of Estimating Power and Sample Size - Stanford Medicine
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Estimating Power and Sample Size - Stanford Medicine
Estimating Powerand Sample Size(How to Help Your Biostatistician!)Amber W. Trickey, PhD, MS, CPHS enior Biostatistician1070 Arastradero Effective Statistical Collaboration[Pye, 2016]Topics Questions & Measures Hypothesis TestingResearch Data Components AssumptionsStatistical Power Consultation Process TimelinesStatistical CollaborationSurgery Epidemiologist & BiostatisticianEpiPhD, MSStatsPhD, MSHSRPhDBioEngBSSurgical HSR: 7 years14years12years14yearsa Question (PICO) population Condition / disease, demographics, setting, Procedure, policy, process, group Control group ( no treatment, standard of care, non-exposed) of interest Treatment effects, patient-centered outcomes, healthcare utilizationExample Research Question Do hospitals with >200 beds perform better than smaller hospitals?
o Range = minimum – maximum o Interquartile range = 25 th - 75 th percentiles • For skewed distributions (e.g. $, time), range or IQR are more representative measures of variability than SD. Box Plot Components: (75 th percentile) (25. th. percentile) range. Variability
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