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Volumn 29, Issue 4, 2008, Pages 547-554

Modelling overdispersion in longitudinal count data in clinical trials with application to epileptic data

Author keywords

Bayesian probability; Deviance; Initial conditions; Markov Chain Monte Carlo; Measurement error; Overdispersion; Random effects; Serial correlation; Simulation; Variance inflation factor

Indexed keywords

ANALYTICAL ERROR; ARTICLE; BIOSTATISTICS; DATA ANALYSIS; EPILEPSY; MONTE CARLO METHOD; PROBABILITY; SIMULATION; VARIANCE;

EID: 44049089019     PISSN: 15517144     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cct.2008.01.005     Document Type: Article
Times cited : (15)

References (10)
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  • 2
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    • Analysing longitudinal count data with overdispersion
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  • 6
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    • Initial conditions problem in longitudinal count data: a simulation study
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    • Variance component models for longitudinal count data with baseline information; epilepsy data revised
    • Alfo M., and Aitkin M. Variance component models for longitudinal count data with baseline information; epilepsy data revised. Stat Comput 16 (2006) 231-238
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  • 9
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    • Bayesian tests for goodness of fit using tail area probabilities
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.