Research Topics
| C Paddy FarringtonSummaryAffiliation: Milton Keynes Country: UK Publications
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Detail Information
Publications
Interval estimation for Poisson capture-recapture models in epidemiologyC P Farrington
Department of Statistics, The Open University, Walton Hall, Milton Keynes MK7 6AA, UK
Stat Med 21:3079-92. 2002..Asymptotic properties of these estimates are studied and contrasted with those derived from the multinomial model. The method is illustrated with a published data set on spina bifida...- Sample sizes for self-controlled case series studiesPatrick Musonda
Department of Statistics, The Open University, Milton Keynes, UK
Stat Med 25:2618-31. 2006..We extend this method to allow for age effects, which can have a big impact on the sample size needed. This more general sample size formula is also found to perform well in a broad range of situations... - Residuals for proportional hazards models with interval-censored survival dataC P Farrington
Department of Statistics, The Open University, Milton Keynes, UK
Biometrics 56:473-82. 2000..The methods apply to parametric models and to the semiparametric model with discrete observation times... 
Case series analysis for censored, perturbed, or curtailed post-event exposuresC Paddy Farrington
Department of Mathematics and Statistics, The Open University, Milton Keynes MK7 6AA, UK
Biostatistics 10:3-16. 2009..A computational scheme based on a pseudo-likelihood is proposed to make the computations feasible in complex models. Simulations, a validation study, and 2 applications are described...- Control without separate controls: evaluation of vaccine safety using case-only methodsC P Farrington
Department of Statistics, The Open University, Walton Hall, Milton Keynes MK7 6AA, UK
Vaccine 22:2064-70. 2004..It is argued that such methods, and in particular the self-controlled case series method, are powerful epidemiologic tools meriting the same attention as more traditional cohort and case-control methods... - Measures of disassortativeness and their application to directly transmitted infectionsC P Farrington
Department of Mathematics and Statistics, The Open University, Milton Keynes, MK76AA, UK
Biom J 51:387-407. 2009..We explore some of its properties and apply our methods to serological surveys of close contact infections and surveys of self-reported social contacts obtained in several European countries... - Estimation of effective reproduction numbers for infectious diseases using serological survey dataC P Farrington
Department of Statistics, The Open University, Walton Hall, Milton Keynes MK7 6AA, UK
Biostatistics 4:621-32. 2003..We describe semi-parametric and parametric models, and obtain an upper bound on Re when vaccine coverage and efficacy are not known. The methods are illustrated using data on mumps and rubella in England and Wales... - Branching process models for surveillance of infectious diseases controlled by mass vaccinationC P Farrington
Department of Statistics, The Open University, Milton Keynes, MK7 6AA, UK
Biostatistics 4:279-95. 2003..We investigate by simulation the validity of the models with respect to depletion of susceptibles and under-ascertainment of cases. The methods are illustrated using surveillance data on measles in the USA... - On vaccine efficacy and reproduction numbersC P Farrington
Department of Statistics, The Open University, Walton Hall, Milton Keynes MK7 6AA, UK
Math Biosci 185:89-109. 2003..Programme effectiveness PE is less sensitive than RV or the critical vaccination threshold to model assumptions. On the other hand Re(t) depends on the details of the vaccine model... - Epidemiological studies of the non-specific effects of vaccines: II--methodological issues in the design and analysis of cohort studiesC P Farrington
Department of Mathematics and Statistics, The Open University, Milton Keynes, UK
Trop Med Int Health 14:977-85. 2009..Using examples from the literature on non-specific effects, we describe different sources of selection and information bias, and, where possible, outline analysis strategies to mitigate or eliminate such biases... - MMR and autism: further evidence against a causal associationC P Farrington
Department of Statistics, The Open University, Walton Hall, Milton Keynes MK7 6AA, UK
Vaccine 19:3632-5. 2001..The data from the earlier study were reanalysed to test this second hypothesis. Our results do not support this hypothesis, and provide further evidence against a causal association between MMR vaccination and autism... - Vaccine trialsC P Farrington
Department of Statistics, Open University, Walton Hall, Milton Keynes MK7 6AA, England
Mol Biotechnol 17:43-58. 2001..The article reviews some of the methods commonly used for post-licensure studies of vaccine efficacy and safety... - Informed choice, balance, and the MMR-autism sagaC Paddy Farrington
Department of Statistics, The Open University, Milton Keynes, UK
Lancet Infect Dis 5:2-3; discussion 3-4. 2005 - Infections with varying contact rates: application to varicellaH J Whitaker
Department of Statistics, The Open University, Walton Hall, Milton Keynes MK7 6AA, UK
Biometrics 60:615-23. 2004..We also estimate summary statistics such as time-dependent analogs of the basic reproduction number and critical immunization threshold. We illustrate the methods with data on varicella (chickenpox) in the United Kingdom... - The methodology of self-controlled case series studiesHeather J Whitaker
Department of Mathematics and Statistics, The Open University, Milton Keynes, MK7 6AA, UK
Stat Methods Med Res 18:7-26. 2009..The efficiency of the self-controlled case series method is compared to the that of cohort and case control studies. Some further extensions, to long or indefinite exposures and to bivariate counts, are described... - Monitoring vaccine safety using case series cumulative sum chartsPatrick Musonda
Department of Mathematics and Statistics, The Open University, Milton Keynes, UK
Vaccine 26:5358-67. 2008..The performance of the case series CUSUM is investigated through simulations. We illustrate the method using retrospective analyses of influenza vaccine and Bell's palsy, and MMR vaccine and febrile convulsions... - Tutorial in biostatistics: the self-controlled case series methodHeather J Whitaker
Department of Statistics, The Open University, Milton Keynes, MK7 6AA, UK
Stat Med 25:1768-97. 2006..Some brief pointers on the design of case series studies are provided. The data sets, STATA code, and further implementation details in SAS, GENSTAT and GLIM are available from an associated website... - Estimation of infectious disease parameters from serological survey data: the impact of regular epidemicsH J Whitaker
Department of Statistics, The Open University, Milton Keynes, UK
Stat Med 23:2429-43. 2004..K. prior to the introduction of the combined measles, mumps, rubella (MMR) vaccine. We conclude that past epidemics have only a marginal effect on estimates, and that standard methods that do not adjust for regular epidemics are valid... - Hepatitis B vaccination and first central nervous system demyelinating events: reanalysis of a case-control study using the self-controlled case series methodM N Hocine
INSERM U780, Universite Paris XI, Villejuif, France
Vaccine 25:5938-43. 2007..We recommend that, when case-control studies of vaccination and adverse events are planned, case series analyses based on the cases are also undertaken when appropriate... - Within-subject exposure dependency in case-crossover studiesS K Vines
Department of Statistics, The Open University, Walton Hall, Milton Keynes MK7 6AA, U K
Stat Med 20:3039-49. 2001..Suitable methods of analysis of case-crossover designs using maximum likelihood may be derived from cohort rather than case-control models... - A new measure of time-varying association for shared frailty models with bivariate current status dataSteffen Unkel
Department of Mathematics and Statistics, Faculty of Mathematics, Computing and Technology, The Open University, Walton Hall, Milton Keynes, MK7 6AA, UK
Biostatistics 13:665-79. 2012..The methods are illustrated with bivariate serological survey data on a pair of infections, where the time-varying association is likely to represent heterogeneities in activity levels and/or susceptibility to infection... 
Automated biosurveillance data from England and Wales, 1991-2011Doyo G Enki
Open University, Milton Keynes, UK
Emerg Infect Dis 19:35-42. 2013....- Assessment of the status of measles elimination from reported outbreaks: United States, 1997-1999Nigel J Gay
Health Protection Agency, Modelling and Economics Unit, Communicable Disease Surveillance Centre, London, UK
J Infect Dis 189:S36-42. 2004..These results demonstrate that susceptibility to measles was beneath the epidemic threshold and that endemic transmission was eliminated...