TY - JOUR
T1 - A Survey of Reporting Practices of Computer Simulation Studies in Statistical Research
AU - Harwell, Michael
AU - Kohli, Nidhi
AU - Peralta-Torres, Yadira
PY - 2018/10/2
Y1 - 2018/10/2
N2 - Computer simulation studies represent an important tool for investigating processes difficult or impossible to study using mathematical theory or real data. Hoaglin and Andrews recommended these studies be treated as statistical sampling experiments subject to established principles of design and data analysis, but the survey of Hauck and Anderson suggested these recommendations had, at that point in time, generally been ignored. We update the survey results of Hauck and Anderson using a sample of studies applying simulation methods in statistical research to assess the extent to which the recommendations of Hoaglin and Andrews and others for conducting simulation studies have been adopted. The important role of statistical applications of computer simulation studies in enhancing the reproducibility of scientific findings is also discussed. The results speak to the state of the art and the extent to which these studies are realizing their potential to inform statistical practice and a program of statistical research.
AB - Computer simulation studies represent an important tool for investigating processes difficult or impossible to study using mathematical theory or real data. Hoaglin and Andrews recommended these studies be treated as statistical sampling experiments subject to established principles of design and data analysis, but the survey of Hauck and Anderson suggested these recommendations had, at that point in time, generally been ignored. We update the survey results of Hauck and Anderson using a sample of studies applying simulation methods in statistical research to assess the extent to which the recommendations of Hoaglin and Andrews and others for conducting simulation studies have been adopted. The important role of statistical applications of computer simulation studies in enhancing the reproducibility of scientific findings is also discussed. The results speak to the state of the art and the extent to which these studies are realizing their potential to inform statistical practice and a program of statistical research.
KW - Computer simulation
KW - Design and data analysis
KW - Survey
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U2 - 10.1080/00031305.2017.1342692
DO - 10.1080/00031305.2017.1342692
M3 - Article
AN - SCOPUS:85037050801
SN - 0003-1305
VL - 72
SP - 321
EP - 327
JO - American Statistician
JF - American Statistician
IS - 4
ER -