The Impact of Missing Data in a Generalized Integer-Valued Autoregression Model for Count Data
Author:
Affiliation:
1. a Division of Biometrics III, Center for Drug Evaluation and Research, Food and Drug Administration , Silver Spring, Maryland, USA
Publisher
Informa UK Limited
Subject
Pharmacology (medical),Pharmacology,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/10543400903242787
Reference22 articles.
1. FIRST-ORDER INTEGER-VALUED AUTOREGRESSIVE (INAR(1)) PROCESS
2. A simulation study comparing weighted estimating equations with multiple imputation based estimating equations for longitudinal binary data
3. Mixed INAR(1) Poisson regression models: Analyzing heterogeneity and serial dependencies in longitudinal count data
4. Negative binomial loglinear mixed models
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