Details about Michael John Grayling
Access statistics for papers by Michael John Grayling.
Last updated 2024-04-26. Update your information in the RePEc Author Service.
Short-id: pgr528
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Journal Articles Software Items
Working Papers
2017
- Group sequential clinical trial designs for normally distributed outcome variables
United Kingdom Stata Users' Group Meetings 2017, Stata Users Group 
See also Journal Article Group sequential clinical trial designs for normally distributed outcome variables, Stata Journal, StataCorp LLC (2018)
(2018)
2015
- Efficient multivariate-normal distribution calculations in Stata
United Kingdom Stata Users' Group Meetings 2015, Stata Users Group
View citations (1)
Journal Articles
2021
- Exact group sequential designs for two-arm experiments with Poisson distributed outcome variables
Communications in Statistics - Theory and Methods, 2021, 50, (1), 18-34
2018
- Calculations involving the multivariate normal and multivariate t distributions with and without truncation
Stata Journal, 2018, 18, (4), 826-843
- Group sequential clinical trial designs for normally distributed outcome variables
Stata Journal, 2018, 18, (2), 416-431 
See also Working Paper Group sequential clinical trial designs for normally distributed outcome variables, United Kingdom Stata Users' Group Meetings 2017 (2017)
(2017)
Software Items
2021
- MVTNORM: Stata module to work with the multivariate normal and multivariate t distributions, with and without variable truncation
Statistical Software Components, Boston College Department of Economics
View citations (2)
2019
- DESMA: Stata module to design and simulate (adaptive) multi-arm clinical trials
Statistical Software Components, Boston College Department of Economics
2018
- SINGLEARM: Stata module supporting design and analysis of single-arm clinical trials
Statistical Software Components, Boston College Department of Economics
2017
- GROUPSEQ: Stata module providing functions to determine group sequential trial designs
Statistical Software Components, Boston College Department of Economics