Poisson regression-ratio estimators of the population mean under double sampling, with application to Covid-19

Koç, Haydar; Tanış, Caner; Zaman, Tolga

doi:10.1080/08898480.2022.2051988

Cited by 8 publications

(6 citation statements)

References 24 publications

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“…In this study, we reviewed the documentation of stroke patients treated with thrombolytic therapy to evaluate any changes in ischemic stroke management and reperfusion outcome due to the COVID-19 pandemic. We observed no significant differences in age and gender between the groups of patients in pre-and COVID-19 periods, while other studies were inconclusive [4,13,14].…”

Section: Discussioncontrasting

confidence: 84%

“…Understanding this risk factor and the development of estimators is crucial in determining strategies for specific countries. [ 13 , 14 ] The aim of this study is to evaluate the impact of the COVID-19 pandemic on the care of patients with AIS treated with thrombolysis, taking into account the vascular risk factors, and the treatment of AIS, with a particular emphasis on the acute phase of the disease, as well as to analyze the secondary prevention in this group of patients. Unlike most studies on AIS care during the COVID-19 pandemic, this paper is focused on the indirect impact of the pandemic on the treatment of AIS patients without SARS-CoV-2 infection.…”

Section: Introductionmentioning

confidence: 99%

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Intravenous Thrombolysis for Acute Ischemic Stroke during the COVID-19 Pandemic—Polish Single-Center Retrospective Cohort Study

Chmiela

Rzepka

Kuca

et al. 2022

Life

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COVID-19 has affected the entire world and has had a great impact on healthcare, influencing the treatment of patients with acute ischemic stroke (AIS). The aim of this study was to determine the impact of the COVID-19 pandemic on the care of patients with AIS. We performed a retrospective analysis of 1599 patients diagnosed with AIS and hospitalized in the authors’ institution from January 2018 to December 2021. The final sample consisted of 265 patients treated with thrombolysis without a diagnosis of COVID-19. The initiation of thrombolytic treatment during the pandemic was delayed (2:42 ± 0:51 vs. 2:25 ± 0:53; p = 0.0006). The delay was mainly related to the pre-hospital phase (1:41 ± 0:48 vs. 1:26 ± 0:49; p = 0.0014), and the door-to-needle time was not affected. There were no differences in stroke severity and patients’ outcomes. Patients with AIS were less likely to have previously been diagnosed with atrial fibrillation (16.9% vs. 26.7%; p = 0.0383), ischemic heart disease (25.3% vs. 46.5%; p = 0.0003) and hyperlipidemia (31.2% vs. 46.5%; p = 0.0264). Patients treated during the pandemic had higher glycemia (149.45 ± 54. vs. 143.25 ± 60.71 mg/dL; p= 0.0012), while no significant differences in their lipid profiles were found. Conclusions: The COVID-19 pandemic affected the treatment of AIS patients locally at our stroke center. It caused treatment delay and hindered the recognition of risk factors prior to the occurrence of AIS.

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Section: Discussioncontrasting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Intravenous Thrombolysis for Acute Ischemic Stroke during the COVID-19 Pandemic—Polish Single-Center Retrospective Cohort Study

Chmiela

Rzepka

Kuca

et al. 2022

Life

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“…This section primarily focuses on case where mean of the auxiliary variable is unknown. For such scenario, our approach extends the framework initially proposed by Shahzad et al [32] and Koc et al [7] for the double stratified random sampling design (

). However, we modify their framework using calibration techniques.…”

Section: Double Stratified Samplingmentioning

confidence: 93%

“…Koyuncu and Al-Omari [6] defined robust regression type mean estimators under different ranked set sampling schemes. Koc et al [7] utilized Poisson regression coefficient and suggested ratio type regression mean estimators under double sampling. Bhushan et al [8] attempted to develop efficient difference and ratio type estimators for the case of missing observations using imputation methods under ranked Set Sampling.…”

Section: Introductionmentioning

confidence: 99%

Calibrated EWMA estimators for time-scaled surveys with diverse applications

Alomair,

Iftikhar

2024

Heliyon

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“…Under such circumstances, to model the mortality rate of Covid-19 patients accurately, a new probability model can be created to help the government to arrange hospital facilities like hospital beds, isolation rooms, etc. For other research studies conducted on Covid-19, we refer to [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Statistical analysis of Covid-19 mortality rate via probability distributions

Farooq

Ijaz²,

Atif³

et al. 2022

PLoS ONE

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Among other diseases, Covid 19 creates a critical situation around the world. Five layers have been recorded so far, resulting in the loss of millions of lives in different countries. The virus was thought to be contagious, so the government initially severely forced citizens to keep a distance from each other. Since then, several vaccines have been developed that play an important role in controlling mortality. In the case of Covid-19 mortality, the government should be forced to take significant steps in the form of lockdown, keeping you away or forcing citizens to vaccinate. In this paper, modeling of Covid-19 death rates is discussed via probability distributions. To delineate the performance of the best fitted model, the mortality rate of Pakistan and Afghanistan is considered. Numerical results conclude that the NFW model can be used to predict the mortality rate for Covid-19 patients more accurately than other probability models.

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Poisson regression-ratio estimators of the population mean under double sampling, with application to Covid-19

Cited by 8 publications

References 24 publications

Intravenous Thrombolysis for Acute Ischemic Stroke during the COVID-19 Pandemic—Polish Single-Center Retrospective Cohort Study

Intravenous Thrombolysis for Acute Ischemic Stroke during the COVID-19 Pandemic—Polish Single-Center Retrospective Cohort Study

Calibrated EWMA estimators for time-scaled surveys with diverse applications

Statistical analysis of Covid-19 mortality rate via probability distributions

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