CHIC 465/565 – Environmental Epidemiology

Bibliography

  • M.S. Bartlett (1964) The spectral analysis of two-dimensional point processes. Biometrika 51, pp. 299–311. Cited by: §3.4.
  • J. Besag (1974) Spatial interaction and the statistical analysis of lattice systems (with discussion). Journal of the Royal Statistical Society B 36, pp. 192–225. Cited by: 3rd item.
  • N.E. Breslow and D.G. Clayton (1993a) Approximate inference in generalized linear mixed models. Journal of the American Statistical Association 88, pp. 9–25. Cited by: Example 5.1, Example 5.2.
  • N.E. Breslow and D.G. Clayton (1993b) Approximate inference in generalized linear mixed models. Journal of the American Statistical Association 88, pp. 9–25. Cited by: §7.5.
  • Chambers (2013) Chambers 21st century dictionary. Note: http://www.chambers.co.uk/ Cited by: Definition 1.1.
  • A.G. Chetwynd, P.J. Diggle, A. Marshall, and R. Parslow (2001) Investigation of spatial clustering from matched and stratified case-control studies. Biostatistics 2, pp. 277–293. Cited by: §3.2.1.
  • D. Clayton and L. Bernardinelli (1992) Bayesian methods for mapping disease risk. P. Elliott, J. Cuzick, D. English, and R. Stern (Eds.), In: Geographical and Environmental Epidemiology, pp. 205–220. Cited by: Example 5.1.
  • D. Clayton and J. Kaldor (1987) Empirical bayes estimates of age-standardised relative risks for use in disease mapping. Biometrics 43, pp. 671–681. Cited by: Example 5.1.
  • D. Coggon, D. Barker, and G. Rose (2003) Epidemiology for the uninitiated. Note: http://www.bmj.com/about-bmj/resources-readers/publications/epidemiology-uninitiated Cited by: Chapter 3.
  • B. o. E. S. Committee on Environmental Epidemiology and N. R. C. Toxicology (1991) Environmental epidemiology, volume 1:public health and hazardous wastes. The National Academies Press. External Links: ISBN 9780309073523, Link Cited by: Definition 1.2.
  • J. Cuzick and R. Edwards (1990) Spatial clustering for inhomogeneous populations (with discussion). Journal of the Royal Statistical Society B 52, pp. 73–104. Cited by: Example 1.1, §3.2, Example 3.1.
  • P. Diggle, R. Moyeed, B. Rowlingson, and M. Thomson (2002) Childhood malaria in the gambia: a case-study in model-based geostatistics. Journal of the Royal Statistical Society C 51, pp. 493–506. Cited by: Example 7.7.
  • P.J. Diggle and A.G. Chetwynd (1991) Second-order analysis of spatial clustering for inhomogeneous populations. Biometrics 47, pp. 1155–1163. Cited by: §3.2.
  • P.J. Diggle, A.C. Gatrell, and A.A. Lovett (1990) Modelling the prevalence of cancer of the larynx in part of lancashire : a new methodology for spatial epidemiology.. R.M. Thomas (Ed.), In: Spatial Epidemiology, pp. . Cited by: Example 1.2.
  • P.J. Diggle, S.E. Morris, and J.C. Wakefield (2000) Point-source modelling using matched case-control data. Biostatistics 1, pp. 89–105. Cited by: §6.2.2.
  • P.J. Diggle, R.A. Moyeed, and J.A. Tawn (1998) Model-based geostatistics (with discussion). Applied Statistics 47, pp. 299–350. Cited by: §7.5.
  • P.J. Diggle and B.S. Rowlingson (1994) A conditional approach to point process modelling of raised incidence. Journal of the Royal Statistical Society A 157, pp. 433–440. Cited by: §6.1.3, Example 6.1.
  • P.J. Diggle (1986) Displaced amacrine cells in the retina of a rabbit : analysis of a bivariate spatial point pattern. J. Neurosci. Meth. 18, pp. 115–125. Cited by: Example 2.2.
  • P.J. Diggle (2002) Statistical analysis of spatial point patterns (second edition). London : Edward Arnold. Cited by: §2.1, item 3, Chapter 3.
  • P. J. Diggle, R. Menezes, and T. Su (2010) Geostatistical inference under preferential sampling. Journal of the Royal Statistical Society: Series C (Applied Statistics) 59 (2), pp. 191–232. Cited by: §7.1.
  • P. Elliott, J. Cuzick, D. English, and R. Stern (1992) Geographical and environmental epidemiology: methods for small area studies. Oxford: Oxford University Press. Cited by: Chapter 3, Chapter 4, §6.1.1.
  • P. Elliott, J.C. Wakefield, N.G. Best, and D.J. Briggs (2000) Spatial epidemiology: methods and applications. Oxford: Oxford University Press. Cited by: Chapter 3, Chapter 4.
  • T.J. Hastie and R.J. Tibshirani (1990) Generalized additive models. London : Chapman and Hall. Cited by: §3.3.3.
  • M.F. Jarner, P.J. Diggle, and A.G. Chetwynd (2002) Estimation of spatial variation in risk using matched case-control data. Biometrical Journal 44, pp. 936–945. Cited by: §3.3.2.
  • J.E. Kelsall and P.J. Diggle (1998) Spatial variation in risk: a nonparametric binary regression approach. Applied Statistics 47, pp. 559–573. Cited by: §3.3.2, §3.3, Example 3.3.
  • J.E. Kelsall and J.C. Wakefield (2000) Modelling spatial variation in disease risk. Journal of the American Statistical Association 97, pp. 692–701. Cited by: Example 1.3.
  • A.B. Lawson and F.L.R. Williams (1994) Armadale: a case-study in environmental epidemiology. Journal of the Royal Statistical Society A 157, pp. 285–298. Cited by: §6.1.4.
  • Y. Li, P. Brown, D. C. Gesink, and H. Rue (2012) Log gaussian cox processes and spatially aggregated disease incidence data.. Statistical Methods in Medical Research 21 (5), pp. 479–6507. Cited by: §4.2.2.
  • H. Morgenstern (1995) Ecologic studies in epidemiology: concepts, principles and methods. Annual Review of Public Health 16, pp. 61–81. Cited by: Example 4.1.
  • R.L. Prentice and L. Sheppard (1995) Aggregate data studies of disease risk factors. Biometrika 82, pp. 113–125. Cited by: §4.2.2.
  • A. Rényi (1967) . Studia Scientiarum Mathematicarum Hungarica 2, pp. 119–123. Cited by: §2.2.2.
  • B.S. Rowlingson and P.J. Diggle (1993) SPLANCS : spatial point pattern analysis code in s-plus. Computers in Geosciences 19, pp. 627–655. Cited by: §2.4.1.
  • D.W. Scott and G.R. Terrell (1987) Biased and unbiased cross-validation in density estimation.. Journal of the American Statistical Association 82, pp. 1131–1146. Cited by: §3.3.1.
  • L. Sheppard and R.L. Prentice (1995) On the reliability and precision of within- and between-population estimates of relative rate parameters. Biometrics 51, pp. 853–863. Cited by: §4.2.2.
  • R.A. Stone (1988) Investigations of excess environmental risks around putative sources: statistical problems and a proposed test. Statistics in Medicine 7, pp. 649–660. Cited by: Figure 6.2, §6.1.2.
  • B. M. Taylor, R. Andrade-Pacheco, H. Sturrock, B. Hamainza, K. Silumbe, J. Miller, T. P. Eisele, and A. Bennett (2020) Real time malaria risk mapping of routine health system incidence data in Zambia. Note: Submitted Cited by: §7.1.
  • B. M. Taylor, R. Andrade-Pacheco, and H. J. W. Sturrock (2018) Continuous inference for aggregated point process data. Journal of the Royal Statistical Society: Series A (Statistics in Society) 181 (4), pp. 1125–1150. External Links: Document Cited by: §7.1.
  • B. M. Taylor, T. M. Davies, B. S. Rowlingson, and P. J. Diggle (2013) Bayesian inference and data augmentation schemes for spatial, spatiotemporal and multivariate log-Gaussian Cox processes in R. Submitted. Cited by: §4.2.2.
  • B. M. Taylor, T. M. Davies, B. S. Rowlingson, and P. J. Diggle (2015) Bayesian inference and data augmentation schemes for spatial, spatiotemporal and multivariate log-Gaussian Cox processes in R. Journal of Statistical Software 63. Cited by: §7.1.
  • B. M. Taylor, H. J. W. Sturrock, R. Andrade-Pacheco, and A. Bennett (2019) LgcpGPU: inference for aggregated spatiotemporal log-gaussian cox processes with changing support via GPU computing. Note: https://gitlab.com/ben_taylor/lgcpGPU Cited by: §7.1.
  • J. Wakefield (2004) Ecological inference for 2 x 2 tables (with discussion). Journal of the Royal Statistical Society A 167, pp. 385–446. Cited by: §4.2.1.
  • L.A. Waller and C.A. Gotway (2004) Applied spatial statistics for public health data. New York: Wiley. Cited by: §2.1, Chapter 4.
  • M. P. Wand and M. C. Jones (1994) Kernel smoothing. Chapman & Hall/CRC. Cited by: §3.3.1.