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David S Robertson

Showing results (1-10 of 36) with videos related to

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Statistical Methods in Medical Research|April 6, 2023
Familywise error rate control for block response-adaptive randomizationEkkehard Glimm, David S Robertson
Communications in Statistics: Theory and Methods|June 21, 2019
Conditionally unbiased estimation in the normal setting with unknown variancesDavid S Robertson, Ekkehard Glimm
Statistics in Medicine|March 19, 2026
Covariate Adjustment in Basket Trials Borrowing Information Across SubgroupsJiyang Ren, David S Robertson, Haiyan Zheng
Bioinformatics (Oxford, England)|November 3, 2022
Global FDR control across multiple RNAseq experimentsLathan Liou, Milena Hornburg, David S Robertson
Pharmaceutical Statistics|August 14, 2020
Controlling type I error rates in multi-arm clinical trials: A case for the false discovery rateJames M S Wason, David S Robertson
Biostatistics (Oxford, England)|March 20, 2016
Accounting for selection and correlation in the analysis of two-stage genome-wide association studiesDavid S Robertson, A Toby Prevost, Jack Bowden
Statistics in Medicine|April 23, 2016
Unbiased estimation in seamless phase II/III trials with unequal treatment effect variances and hypothesis-driven selection rulesDavid S Robertson, A Toby Prevost, Jack Bowden
Statistics in Medicine|February 4, 2015
Correcting for bias in the selection and validation of informative diagnostic testsDavid S Robertson, A Toby Prevost, Jack Bowden
Statistics in Medicine|March 28, 2024
How could a pooled testing policy have performed in managing the early stages of the COVID-19 pandemic? Results from a simulation studyBethany Heath, Sofía S Villar, David S Robertson
Trials|April 2, 2026
Estimation of combined treatment effects by restricted mean survival timeEmily Alger, David S Robertson, Abigail J Burdon
Pageof 4

Showing results (1-10 of 36) with videos related to

Sort By:
Pageof 4
Statistical Methods in Medical Research|April 6, 2023
Familywise error rate control for block response-adaptive randomizationEkkehard Glimm, David S Robertson
Communications in Statistics: Theory and Methods|June 21, 2019
Conditionally unbiased estimation in the normal setting with unknown variancesDavid S Robertson, Ekkehard Glimm
Statistics in Medicine|March 19, 2026
Covariate Adjustment in Basket Trials Borrowing Information Across SubgroupsJiyang Ren, David S Robertson, Haiyan Zheng
Bioinformatics (Oxford, England)|November 3, 2022
Global FDR control across multiple RNAseq experimentsLathan Liou, Milena Hornburg, David S Robertson
Pharmaceutical Statistics|August 14, 2020
Controlling type I error rates in multi-arm clinical trials: A case for the false discovery rateJames M S Wason, David S Robertson
Biostatistics (Oxford, England)|March 20, 2016
Accounting for selection and correlation in the analysis of two-stage genome-wide association studiesDavid S Robertson, A Toby Prevost, Jack Bowden
Statistics in Medicine|April 23, 2016
Unbiased estimation in seamless phase II/III trials with unequal treatment effect variances and hypothesis-driven selection rulesDavid S Robertson, A Toby Prevost, Jack Bowden
Statistics in Medicine|February 4, 2015
Correcting for bias in the selection and validation of informative diagnostic testsDavid S Robertson, A Toby Prevost, Jack Bowden
Statistics in Medicine|March 28, 2024
How could a pooled testing policy have performed in managing the early stages of the COVID-19 pandemic? Results from a simulation studyBethany Heath, Sofía S Villar, David S Robertson
Trials|April 2, 2026
Estimation of combined treatment effects by restricted mean survival timeEmily Alger, David S Robertson, Abigail J Burdon
Pageof 4