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Monitoring of three-phase variations in the mortality of COVID-19 pandemic using control charts: where does Pakistan stand?
14 references·1 citing·34 second hop
Monitoring of three-phase variations in the mortality of COVID-19 pandemic using control charts: where does Pakistan stand? (2021)Monitoring of three-phase variations in t…Understanding variation in reported covid-19 deaths with a novel Shewhart chart application (2020)Understanding variation in re…The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement (2015)The REporting of studies Cond…Optimal exponentially weighted moving average (EWMA) plans for detecting seasonal epidemics when faced with non-homogeneous negative binomial counts (2011)Optimal exponentially weighte…Exponentially weighted moving average plans for detecting unusual negative binomial counts (2010)Exponentially weighted moving…Detecting the start of an influenza outbreak using exponentially weighted moving average charts (2010)Detecting the start of an inf…Surveillance Strategies for Detecting Changepoint in Incidence Rate Based on Exponentially Weighted Moving Average Methods (2008)Surveillance Strategies for D…Plotting basic control charts: tutorial notes for healthcare practitioners (2008)Plotting basic control charts…Monitoring patients using control charts: a systematic review (2007)Monitoring patients using con…A Simple Risk-Adjusted Exponentially Weighted Moving Average (2007)A Simple Risk-Adjusted Expone…Control Chart Tests Based on Geometric Moving Averages (2000)Control Chart Tests Based on …Introduction to Statistical Quality Control (1997)Introduction to Statistical Q…Introduction to Statistical Quality Control (1992)Introduction to Statistical Q…Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Exponentially Weighted Moving…Control Chart Tests Based on Geometric Moving Averages (1959)Control Chart Tests Based on …The optimal control chart selection for monitoring COVID-19 phases: a case study of daily deaths in the USA (2023)The optimal control chart sel…Optimal Properties of Exponentially Weighted Forecasts (1960)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)A review of multivariate control charts (1995)Research Issues and Ideas in Statistical Process Control (1999)Time Series Analysis: Forecasting and Control (1977)Generalized autoregressive conditional heteroskedasticity (1986)Exponentially weighted moving average charts to compare observed and expected values for monitoring risk-adjusted hospital indicators (2011)Phase I Risk-Adjusted Control Charts for Monitoring Surgical Performance by Considering Categorical Covariates (2012)A new VLAD‐based control chart for detecting surgical outcomes (2017)Economic Control of Quality of Manufactured Product. (1932)Out of the Crisis (1982)Run Charts Revisited: A Simulation Study of Run Chart Rules for Detection of Non-Random Variation in Health Care Processes (2014)Statistical process control and interrupted time series: a golden opportunity for impact evaluation in quality improvement (2015)An Overview of Control Charts for High‐quality Processes (2016)An Introduction to Statistical Quality Control. (1987)A comparison of exponentially weighted moving average-based methods for monitoring increases in incidence rate with varying population size (2014)Economic control of quality of manufactured product (1932)A Coefficient of Agreement for Nominal Scales (1960)Retrospective analysis of linear accelerator output constancy checks using process control techniques (2013)Single-Case Research Design in Pediatric Psychology: Considerations Regarding Data Analysis (2013)Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration (2007)The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies (2007)The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies (2007)The reporting of studies conducted using observational routinely collected health data statement for pharmacoepidemiology (RECORD-PE) (2018)Association of Surgeon-Patient Sex Concordance With Postoperative Outcomes (2021)Consolidated Health Economic Evaluation Reporting Standards (CHEERS) 2022 Explanation and Elaboration: A Report of the ISPOR CHEERS II Good Practices Task Force (2022)Introduction to Statistical Quality Control (1988)Control Charts Based on Attribute Data: Bibliography and Review (1997)Run-to-Run Process Control: Literature Review and Extensions (1997)Robustness of the EWMA Control Chart to Non-Normality (1999)The Exponentially Weighted Moving Average (1986)Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)Time-Series Modeling for Statistical Process Control (1988)Statistical process control as a tool for research and healthcare improvement (2003)
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References

  • 1992Introduction to Statistical Quality Control7,842 cited
  • 2015The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement5,686 cited
  • 1990Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements1,939 cited
  • 1959Control Chart Tests Based on Geometric Moving Averages1,544 cited
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  • 2008Plotting basic control charts: tutorial notes for healthcare practitioners243 cited
  • 2007A Simple Risk-Adjusted Exponentially Weighted Moving Average92 cited
  • 2007Monitoring patients using control charts: a systematic review83 cited
  • 2010Detecting the start of an influenza outbreak using exponentially weighted moving average charts47 cited
  • 2008Surveillance Strategies for Detecting Changepoint in Incidence Rate Based on Exponentially Weighted Moving Average Methods46 cited
  • 2020Understanding variation in reported covid-19 deaths with a novel Shewhart chart application33 cited
  • 2011Optimal exponentially weighted moving average (EWMA) plans for detecting seasonal epidemics when faced with non-homogeneous negative binomial counts28 cited
  • 2010Exponentially weighted moving average plans for detecting unusual negative binomial counts

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  • 2023The optimal control chart selection for monitoring COVID-19 phases: a case study of daily deaths in the USA13 cited