An easy to use method to approximate Poisson confidence limits

Bégaud, Bernard; Martin, Karin; Abouelfath, Abdelilah; Tubert‐Bitter, Pascale; Moore, Nicholas; Moride, Yola

doi:10.1007/s10654-004-6517-4

Cited by 22 publications

(25 citation statements)

References 4 publications

(5 reference statements)

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“…We used the aggregate data to compare the weekly counts within each hospital and across all hospitals combined, estimating associated 95% CIs using the Poisson exact method. 19 We calculated means of hospital statistics and their 95% CIs in the combined analyses. In addition, we calculated percentage change from the corresponding week in the previous year (2018-2019), together with 95% CIs using the Wilson score interval, in the three phases described above.…”

Section: Discussionmentioning

confidence: 99%

Monitoring indirect impact of COVID-19 pandemic on services for cardiovascular diseases in the UK

Ball

Banerjee

Berry

et al. 2020

Heart

100

110

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ObjectiveTo monitor hospital activity for presentation, diagnosis and treatment of cardiovascular diseases during the COVID-19) pandemic to inform on indirect effects.MethodsRetrospective serial cross-sectional study in nine UK hospitals using hospital activity data from 28 October 2019 (pre-COVID-19) to 10 May 2020 (pre-easing of lockdown) and for the same weeks during 2018–2019. We analysed aggregate data for selected cardiovascular diseases before and during the epidemic. We produced an online visualisation tool to enable near real-time monitoring of trends.ResultsAcross nine hospitals, total admissions and emergency department (ED) attendances decreased after lockdown (23 March 2020) by 57.9% (57.1%–58.6%) and 52.9% (52.2%–53.5%), respectively, compared with the previous year. Activity for cardiac, cerebrovascular and other vascular conditions started to decline 1–2 weeks before lockdown and fell by 31%–88% after lockdown, with the greatest reductions observed for coronary artery bypass grafts, carotid endarterectomy, aortic aneurysm repair and peripheral arterial disease procedures. Compared with before the first UK COVID-19 (31 January 2020), activity declined across diseases and specialties between the first case and lockdown (total ED attendances relative reduction (RR) 0.94, 0.93–0.95; total hospital admissions RR 0.96, 0.95–0.97) and after lockdown (attendances RR 0.63, 0.62–0.64; admissions RR 0.59, 0.57–0.60). There was limited recovery towards usual levels of some activities from mid-April 2020.ConclusionsSubstantial reductions in total and cardiovascular activities are likely to contribute to a major burden of indirect effects of the pandemic, suggesting they should be monitored and mitigated urgently.

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Section: Discussionmentioning

confidence: 99%

Monitoring indirect impact of COVID-19 pandemic on services for cardiovascular diseases in the UK

Ball

Banerjee

Berry

et al. 2020

Heart

100

110

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“…Consequently the performance of each method was studied separately on the three regions, namely (0,2), [2,4] and (4,50] in the parameter space. Panels The observations from these graphs are tabulated in Table 2.…”

Section: Comparison Based On Coverages and E(loc)mentioning

confidence: 99%

“…For a two sided CI procedure it is desirable to have the right and left noncoverage probabilities to be fairly balanced. We plot the ratio of the left to right noncoverage probabilities as a function of Poisson mean for the nineteen methods in Figure 5A and 5B for regions (2,4) and (4,50). For balanced noncoverage, ratio should oscillate in the close neighborhood of 1.…”

Section: Comparison With Respect To Balance Of Noncoverage Probabilitiesmentioning

confidence: 99%

“…For comparison of methods on the basis of E(P-bias) and E(P-confidence), we consider three regions of sample space (0,2), (2,4) and (4,50). Three panels (a) to (c) of Figures 6 and 7 represent boxplots of E(P-confidence) and E(P-bias) for these three regions.…”

Section: Comparison Based On E(p-bias) and E(p-confidence)mentioning

confidence: 99%

“…Coverages and relative E(LOC) for conservative methods for parametric space[2,4], where G1 = {GW, MOL, WH, BB}. Boxplot of coverages for nonconservative methods.…”

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Comparison of confidence intervals for the Poisson mean

Patil

Rajarshi

2010

MAS

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• We perform a comparative study among nineteen methods of interval estimation of the Poisson mean, in the intervals (0,2), [2,4] and (4,50], using as criteria coverage, expected length of confidence intervals, balance of noncoverage probabilities, E(P-bias) and E(P-confidence). The study leads to recommendations regarding the use of particular methods depending on the demands of a particular statistical investigation and prior judgment regarding the parameter value if any.

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Validation of case definition algorithms for the ascertainment of congenital anomalies

Escalante

Abayomi

Langlois

et al. 2022

Birth Defects Research

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Background Congenital anomalies (CA) are one of the leading causes of infant mortality and long‐term disability. Many jurisdictions rely on health administrative data to monitor these conditions. Case definition algorithms can be used to monitor CA; however, validation of these algorithms is needed to understand the strengths and limitations of the data. This study aimed to validate case definition algorithms used in a CA surveillance system in British Columbia (BC), Canada. Methods A cohort of births between March 2000 and April 2002 in BC was linked to the Health Status Registry (HSR) and the BC Congenital Anomalies Surveillance System (BCCASS) to identify cases and non‐cases of specific anomalies within each surveillance system. Measures of algorithm performance were calculated for each CA using the HSR as the reference standard. Agreement between both databases was calculated using kappa coefficient. The modified Standards for Reporting Diagnostic Accuracy guidelines were used to enhance the quality of the study. Results Measures of algorithm performance varied by condition. Positive predictive value (PPV) ranged between approximately 73%–100%. Sensitivity was lower than PPV for most conditions. Internal congenital anomalies or conditions not easily identifiable at birth had the lowest sensitivity. Specificity and negative predictive value exceeded 99% for all algorithms. Conclusion Case definition algorithms may be used to monitor CA at the population level. Accuracy of algorithms is higher for conditions that are easily identified at birth. Jurisdictions with similar administrative data may benefit from using validated case definitions for CA surveillance as this facilitates cross‐jurisdictional comparison.

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An easy to use method to approximate Poisson confidence limits

Cited by 22 publications

References 4 publications

Monitoring indirect impact of COVID-19 pandemic on services for cardiovascular diseases in the UK

Monitoring indirect impact of COVID-19 pandemic on services for cardiovascular diseases in the UK

Comparison of confidence intervals for the Poisson mean

Validation of case definition algorithms for the ascertainment of congenital anomalies

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