Time Series: A Biostatistical Introduction.

Diggle, P.

doi:10.2307/2532287

Cited by 214 publications

(282 citation statements)

References 0 publications

Supporting

Mentioning

275

Contrasting

Unclassified

Order By: Relevance

“…The fitting procedure and the measles data are integrated in the R package surveillance ( [27] ; http://surveillance.r-forge.r-project.org). Note that models involving more than one covariate, timevarying covariates or additional seasonal terms at higher frequencies [28] can also be fitted with this function in surveillance.…”

Section: Methodsmentioning

confidence: 99%

Heterogeneity in vaccination coverage explains the size and occurrence of measles epidemics in German surveillance data

2010

View full text Add to dashboard Cite

SUMMARYThe objective of this study was to characterize empirically the association between vaccination coverage and the size and occurrence of measles epidemics in Germany. In order to achieve this we analysed data routinely collected by the Robert Koch Institute, which comprise the weekly number of reported measles cases at all ages as well as estimates of vaccination coverage at the average age of entry into the school system. Coverage levels within each federal state of Germany are incorporated into a multivariate time-series model for infectious disease counts, which captures occasional outbreaks by means of an autoregressive component. The observed incidence pattern of measles for all ages is best described by using the log proportion of unvaccinated school starters in the autoregressive component of the model.

show abstract

Section: Methodsmentioning

confidence: 99%

Heterogeneity in vaccination coverage explains the size and occurrence of measles epidemics in German surveillance data

2010

View full text Add to dashboard Cite

show abstract

“…The prediction of mortality rates needs the previous adjustment of a time series to mortality indexes, k t , which is carried out by means of the Box-Jenkins methodology using an R code developed by Shumway and Stoffer (2006 (Diggle, 1990).…”

Section: Forecastingmentioning

confidence: 99%

Modelling and forecasting mortality in Spain

Debón

Montes

Puig

2008

European Journal of Operational Research

View full text Add to dashboard Cite

Experience shows that static life tables overestimate death probabilities. As a consequence of this overestimation the premiums for annuities, pensions and life insurance are not what they actually should be, with negative effects for insurance companies or policy-holders. The reason for this overestimation is that static life tables, through being computed for a specific period of time, cannot take into account the decreasing mortality trend over time. Dynamic life tables overcome this problem by incorporating the influence of the calendar when graduating mortality. Recent papers on the topic look for the development of new methods to deal with this dynamism.Most methods used in dynamic tables are parametric, apply traditional mortality laws and then analyze the evolution of estimated parameters with time series techniques. Our contribution consists in extending and applying Lee-Carter methods to Spanish mortality data, exploring residuals and future trends.

show abstract

“…Power spectra were also generated in response to administration of vehicle, FLU and FG-7142 in the antagonist pretreatment experiment. Comparisons between the effects of vehicle and FG-7142 (10.0 mg/kg), or FG-7142 and FLU, on signal power were made using a log ratio comparison of spectra test (Diggle, 1990). Confidence intervals (95%) for these ratios were used to characterize any statistically significant differences in power between conditions.…”

Section: Lfp Activitymentioning

confidence: 99%

Systemic administration of the benzodiazepine receptor partial inverse agonist FG‐7142 disrupts corticolimbic network interactions

Stevenson

Halliday

Marsden

et al. 2007

Synapse

View full text Add to dashboard Cite

The medial prefrontal cortex (mPFC) and basolateral amygdala (BLA) coordinate various stress responses. Although the effects of stressors on mPFC and BLA activity have been previously examined, it remains unclear to what extent stressors affect functional interactions between these regions. In vivo electrophysiology in the anesthetized rat was used to examine mPFC and BLA activity simultaneously in response to FG-7142, a benzodiazepine receptor partial inverse agonist that mimics various stress responses, in an attempt to model the effects of stressors on corticolimbic functional connectivity. Extracellular unit and local field potential (LFP) recordings, using multielectrode arrays positioned in mPFC and BLA, were conducted under basal conditions and in response to systemic FG-7142 administration. This drug increased mPFC and BLA unit firing at the lowest dose tested, whereas higher doses of FG-7142 decreased various burst firing parameters in both regions. Moreover, LFP power was attenuated at lower (<1 Hz) and potentiated at higher frequencies in mPFC (1-12 Hz) and BLA (4-8 Hz). Interestingly, FG-7142 diminished synchronized unit firing, both within and between mPFC and BLA. Finally, FG-7142 decreased LFP synchronization between these regions. In a separate group of animals, pretreatment with the selective benzodiazepine receptor antagonist flumazenil blocked the changes in burst firing, LFP power and synchronized activity induced by FG-7142, confirming direct benzodiazepine receptor-mediated effects. These results indicate that FG-7142 disrupts corticolimbic network interactions via benzodiazepine receptor partial inverse agonism. Perturbation of mPFC-BLA functional connectivity induced by FG-7142 may provide a useful model of corticolimbic dysfunction induced by stressors.

show abstract

Time Series: A Biostatistical Introduction.

Cited by 214 publications

References 0 publications

Heterogeneity in vaccination coverage explains the size and occurrence of measles epidemics in German surveillance data

Heterogeneity in vaccination coverage explains the size and occurrence of measles epidemics in German surveillance data

Modelling and forecasting mortality in Spain

Systemic administration of the benzodiazepine receptor partial inverse agonist FG‐7142 disrupts corticolimbic network interactions

Contact Info

Product

Resources

About