Effective sample size estimation for a mechanical ventilation trial through Monte-Carlo simulation: length of mechanical ventilation and ventilator free days

DOI10.1016/j.mbs.2016.06.001zbMath1366.92063OpenAlexW2419320243WikidataQ36052191 ScholiaQ36052191MaRDI QIDQ503841

Yong-Cai Geng, Sumit K. Garg

Publication date: 23 January 2017

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10092/17423

zbMATH Keywords

statistical significanceMonte-Carlo methodsmechanical ventilationoutcome metricsrandomised control trialsventilator free days

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items (1)

Effective sample size estimation for a mechanical ventilation trial through Monte-Carlo simulation: length of mechanical ventilation and ventilator free days

Cites Work

• Effective sample size estimation for a mechanical ventilation trial through Monte-Carlo simulation: length of mechanical ventilation and ventilator free days

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