Smoothing and high risk areas detection in space-time disease mapping: a comparison of P-splines, autoregressive, and moving average models-Reference-Cited by-同舟云学术

Smoothing and high risk areas detection in space-time disease mapping: a comparison of P-splines, autoregressive, and moving average models

Author:

Adin A.,Martínez-Beneito M. A.,Botella-Rocamora P.,Goicoa T.,Ugarte M. D.

Funder

Spanish Ministry of Economy and Competitiveness

Spanish Ministry of Economy and Competitiveness (jointly sponsored by FEDER grants)

Health Department of the Navarre Government

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

Reference20 articles.

3. Botella-Rocamora P (2010) Suavización espacio-temporal en cartografía de enfermedades. PhD thesis, Universitat de València

5. Breslow NE, Clayton DG (1993) Approximate inference in generalized linear mixed models. J Am Stat Assoc 88(421):9–25

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