Kadriye O Lewis, Howard W Kilbride, Carl Bose, David J Burchfield
Fundamentals of designing high-quality surveys: revisiting neonatal perinatal medicine survey applications
Journal of perinatology : official journal of the California Perinatal Association
medical research studys design statistical methods pivotal guide interpretation conclusion selecting appropriate statistical models hinges distribution outcome measure count data frequently used medical research often exhibit overdispersion zero inflation occasionally count data considered ordinal maximum outcome value 5 calls application ordinal regression models various models exist analyzing overdispersed data negative binomial generalized poisson gp ordinal regression model study aims examine whether gp model superior alternative ordinal logistic regression olr model specifically context zeroinflated poisson models using simulated realtime data simulated data generated varied estimates regression coefficients sample sizes various proportions zeros gp olr models compared using fit statistics additionally comparisons made using realtime datasets simulated results consistently revealed lower bias mean squared error values gp model compared olr model trend observed realtime datasets gp model consistently demonstrating lower standard errors except sample size 1000 proportions zeros 30 40 bayesian information criterion consistently favored gp model olr model study establishes proposed gp model offers advantageous alternative olr model moreover gp model facilitates easier modeling interpretation compared olr model