Logistic Regression Bandit Thinkhamrop, PhD. (Statistics) Department of Biostatistics and Demography Faculty of Public Health, Khon Kaen University
Begin at the conclusion Begin at the conclusion 7
Type of the study outcome: Key for selecting appropriate statistical methods • Study outcome • Dependent variable or response variable • Focus on primary study outcome if there are more • Type of the study outcome • Continuous • Categorical (dichotomous, polytomous, ordinal) • Numerical (Poisson) count • Event-free duration
Continuous Categorical Count Survival The outcome determine statistics Mean Median Proportion (Prevalence Or Risk) Rate per “space” Median survival Risk of events at T(t) Linear Reg. Logistic Reg. Poisson Reg. Cox Reg.
Parameter estimation [95%CI] Hypothesis testing [P-value] Statistics quantify errors for judgments
Continuous Categorical Count Survival Back to the conclusion Appropriate statistical methods Mean Median Proportion (Prevalence or Risk) Rate per “space” Median survival Risk of events at T(t) Magnitude of effect 95% CI P-value Answer the research question based on lower or upper limit of the CI