Estimating cross-validatory predictive p-values with integrated importance sampling for disease mapping models.

Li, Longhai; Feng, Cindy X; Qiu, Shi

Li, Longhai; Feng, Cindy X; Qiu, Shi.

Affiliation

Li L; Department of Mathematics and Statistics, University of Saskatchewan, 106 Wiggins Rd, Saskatoon, S7N5E6, SK, Canada.
Feng CX; School of Public Health, University of Saskatchewan, 104 Clinic Place, Saskatoon, S7N5E5, SK, Canada.
Qiu S; Department of Mathematics and Statistics, University of Saskatchewan, 106 Wiggins Rd, Saskatoon, S7N5E6, SK, Canada.

Stat Med ; 36(14): 2220-2236, 2017 06 30.

Article in En | MEDLINE | ID: mdl-28294368

Subject(s)

Epidemiology/statistics & numerical data; Models, Statistical; Bayes Theorem; Biostatistics; Databases, Factual/statistics & numerical data; Disease; Epidemiologic Methods; Germany/epidemiology; Humans; Laryngeal Neoplasms/mortality; Lip Neoplasms/epidemiology; Markov Chains; Monte Carlo Method; Mortality; Poisson Distribution; Scotland/epidemiology

Key words

MCMC; cross-validation; disease mapping; ghosting method; importance sampling; posterior predictive p-value

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Epidemiology / Models, Statistical Type of study: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limits: Humans Country/Region as subject: Europa Language: En Journal: Stat Med Year: 2017 Document type: Article Affiliation country: Canada Country of publication: United kingdom

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