Pages that link to "Item:Q5410265"
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The following pages link to Modeling zero‐inflated count data when exposure varies: With an application to tumor counts (Q5410265):
Displaying 7 items.
- Detecting over- and under-dispersion in zero inflated data with the hyper-Poisson regression model (Q513680) (← links)
- Continuous time hidden Markov model for longitudinal data (Q2196129) (← links)
- Joint modelling of recurrence and progression of adenomas: a latent variable approach (Q3413103) (← links)
- A New Approach for Handling Longitudinal Count Data with Zero‐Inflation and Overdispersion: Poisson Geometric Process Model (Q5123230) (← links)
- Zero-inflated models for adjusting varying exposures: a cautionary note on the pitfalls of using offset (Q5861270) (← links)
- Zero-Inflated Poisson Models with Measurement Error in the Response (Q6055855) (← links)
- Approximate confidence and tolerance limits for the discrete Pareto distribution for characterizing extremes in count data (Q6147735) (← links)
