This is the final webinar in the Conducting Non-Continuous Regression Model four-part webinar series. Zero-inflated regression models are commonly used in the analysis of count data with an overabundance of zeros. These models combine Poisson and logistic models to handle the count data and the overabundance of zeros simultaneously. Examples include the number of visits a family makes to the therapist, or the number of risky behaviors of an adolescent. A fictional dataset will be provided for attendees to practice the skills taught.
Approved for 1.5 hours of CFLE continuing education credit.
Webinar date: May 30, 2023
Fee: Single/Series Pricing: $29/$79 for NCFR student members, $49/$139 for NCFR members & CFLEs, $89/$249 for nonmembers & non-CFLEsRegister