Litteratur

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Rasmussen OB, Yding A, Anhøj J, et al. Reducing the incidence of Obstetric Sphincter Injuries using a hands-on technique: an interventional quality improvement project. BMJ Open Quality [Internet] BMJ Open Quality; 2016;5.Tilgået fra: https://bmjopenquality.bmj.com/content/5/1/u217936.w7106

2.

Dansk selskab for patientsikkerhed. Forbedringsmodellen [Internet]. 2022.Tilgået fra: https://patientsikkerhed.dk/forbedringsmodellen/

3.

Abeysooriya M, Soria M, Kasu MS, et al. Gene name errors: Lessons not learned. PLOS Computational Biology [Internet] Public Library of Science; 2021;17:1–13.Tilgået fra: https://doi.org/10.1371/journal.pcbi.1008984

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BBC News. Excel: Why using Microsoft’s tool caused Covid-19 results to be lost [Internet]. 2020.Tilgået fra: https://www.bbc.com/news/technology-54423988

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Harris PA, Taylor R, Thielke R, et al. Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics [Internet] 2009;42:377–81.Tilgået fra: https://www.sciencedirect.com/science/article/pii/S1532046408001226

6.

R Core Team. R: A Language and Environment for Statistical Computing [Internet]. Vienna, Austria: R Foundation for Statistical Computing; 2021.Tilgået fra: https://www.R-project.org/

7.

Hadley Wickham and Garreth Grolemund. R for Data Science [Internet]. 2022.Tilgået fra: https://r4ds.had.co.nz/

8.

Anscombe F. Graphs in Statistical Analysis. The American Statistician 1973;27:17–21.

9.

Few S. Show Me the Numbers – Designing Tables and Graphs to Enlighten, 2nd. ed. [Internet]. Analytics Press; 2012.Tilgået fra: http://perceptualedge.com/library.php

10.

Shewhart WA. Economic control of quality of manufactured product. New York: D Van Nostrand Company; 1931.

11.

Montgomery DC. Statistical Quality Control: A Modern Introduction, sixth ed. John Wiley; Sons; 2009.

12.

Western Electric Company. Statistical Quality Control Handbook. New York: Western Electric Company inc; 1956.

13.

Anhøj J, Olesen AV. Run Charts Revisited: A Simulation Study of Run Chart Rules for Detection of Non-Random Variation in Health Care Processes. PLoS ONE [Internet] 2014 [henvist 6 januar 2019];Tilgået fra: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0113825

14.

Anhøj J. Diagnostic Value of Run Chart Analysis: Using Likelihood Ratios to Compare Run Chart Rules on Simulated Data Series. PLoS ONE [Internet] 2015 [henvist 6 januar 2019];Tilgået fra: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0121349

15.

Anhøj J, Wentzel-Larsen T. Sense and sensibility: on the diagnostic value of control chart rules for detection of shifts in time series data. BMC Medical Research Methodology [Internet] 2018 [henvist 6 januar 2019];Tilgået fra: https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-018-0564-0

16.

Carstensen JW, Chehri M, Schønning K, et al. Use of prophylactic Saccharomyces boulardii to prevent Clostridium difficile infection in hospitalized patients: a controlled prospective intervention study. Eur J Clin Microbiol Infect Dis 2018;37:1431–9.

17.

Benneyan J. Number-Between g-Type Statistical Quality Control Charts for Monitoring Adverse Events. Health care management science 2002;4:305–18.

18.

Anhøj J. Kompendium i kvalitetsudvikling - rammer og redskaber. Munksgaard; 2015.