SCOPUS 정보 검색 플랫폼

Statistics in Medicine

Volumn 19, Issue 17-18, 2000, Pages 2321-2332

Modelling spatial disease rates using maximum likelihood

(1) Leroux, Brian G a

a UNIVERSITY OF WASHINGTON (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; COMPUTER SIMULATION; CONFERENCE PAPER; COVARIANCE; HUMAN; MAXIMUM LIKELIHOOD METHOD; MODEL; MORBIDITY; PROBABILITY; SYSTEM ANALYSIS;

EID: 0034665887 PISSN: 02776715 EISSN: None Source Type: Journal
DOI: 10.1002/1097-0258(20000915/30)19:17/18<2321::AID-SIM572>3.0.CO;2-%23 Document Type: Conference Paper

Times cited : (15)

References (10)

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2
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3
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4
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- Statistical Models in Epidemiology, the Environment and Clinical Trials, (Halloran ME, Berry D, (eds). Springer-Verlag
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- Empirical Bayes estimates of age-standardized relative risks for use in desease mapping
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6
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- Spatial interaction and the statistical analysis of lattice systems
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- Besag, J.¹

7
- 85197326735
- Statistics for Spatial Data. Wiley: New York
- (1991) , pp. 900
- Cressie, N.¹

8
- 0030336576
- Bias correction in generalized linear mixed models with multiple components of dispersion
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- Lin, X.H.¹ Breslow, N.E.²

9
- 0001044972
- Finding the observed information matrix when using the EM algorithm
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10
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- Atlas of Cancer in Scotland, 1975-1980. Incidence and Epidemiologic Perspective, IARC Scientific Publication No. 72. International Agency for Research on Cancer: Lyon
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- Kemp, I.¹ Boyle, P.² Smans, M.³ Muir, C.⁴

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.