Search research articles
Contact Us
Filters
Showing results (1-10 of 14) with videos related to
Page
of 2
Sort By:
Statistical Methods in Medical Research
|
May 24, 2014
Increasing efficiency for estimating treatment-biomarker interactions with historical data
Philip S Boonstra, Jeremy Mg Taylor, Bhramar Mukherjee
Statistical Methods in Medical Research
|
November 3, 2012
A Phase I/II trial design when response is unobserved in subjects with dose-limiting toxicity
Thomas M Braun, Shan Kang, Jeremy Mg Taylor
The Annals of Applied Statistics
|
January 18, 2014
BAYESIAN SHRINKAGE METHODS FOR PARTIALLY OBSERVED DATA WITH MANY PREDICTORS
Philip S Boonstra, Bhramar Mukherjee, Jeremy Mg Taylor
Statistical Methods in Medical Research
|
July 6, 2023
Using information criteria to select smoothing parameters when analyzing survival data with time-varying coefficient hazard models
Lingfeng Luo, Kevin He, Wenbo Wu, et al.
Clinical Trials (London, England)
|
May 22, 2018
Modeling adverse event counts in phase I clinical trials of a cytotoxic agent
Daniel G Muenz, Thomas M Braun, Jeremy Mg Taylor
Statistical Methods in Medical Research
|
March 19, 2024
Using joint models for longitudinal and time-to-event data to investigate the causal effect of salvage therapy after prostatectomy
Dimitris Rizopoulos, Jeremy Mg Taylor, Grigorios Papageorgiou, et al.
Statistical Methods in Medical Research
|
April 22, 2021
Using multiple imputation to classify potential outcomes subgroups
Yun Li, Irina Bondarenko, Michael R Elliott, et al.
Statistical Methods in Medical Research
|
May 23, 2014
Individualized dynamic prediction of prostate cancer recurrence with and without the initiation of a second treatment: Development and validation
Mbéry Sène, Jeremy Mg Taylor, James J Dignam, et al.
Statistical Methods in Medical Research
|
October 13, 2021
Multiple imputation with missing data indicators
Lauren J Beesley, Irina Bondarenko, Michael R Elliot, et al.
Clinical Trials (London, England)
|
April 22, 2021
A Bayesian dose-finding design for outcomes evaluated with uncertainty
Matthew J Schipper, Ying Yuan, Jeremy Mg Taylor, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Statistical Methods in Medical Research
|
May 24, 2014
Increasing efficiency for estimating treatment-biomarker interactions with historical data
Philip S Boonstra, Jeremy Mg Taylor, Bhramar Mukherjee
Statistical Methods in Medical Research
|
November 3, 2012
A Phase I/II trial design when response is unobserved in subjects with dose-limiting toxicity
Thomas M Braun, Shan Kang, Jeremy Mg Taylor
The Annals of Applied Statistics
|
January 18, 2014
BAYESIAN SHRINKAGE METHODS FOR PARTIALLY OBSERVED DATA WITH MANY PREDICTORS
Philip S Boonstra, Bhramar Mukherjee, Jeremy Mg Taylor
Statistical Methods in Medical Research
|
July 6, 2023
Using information criteria to select smoothing parameters when analyzing survival data with time-varying coefficient hazard models
Lingfeng Luo, Kevin He, Wenbo Wu, et al.
Clinical Trials (London, England)
|
May 22, 2018
Modeling adverse event counts in phase I clinical trials of a cytotoxic agent
Daniel G Muenz, Thomas M Braun, Jeremy Mg Taylor
Statistical Methods in Medical Research
|
March 19, 2024
Using joint models for longitudinal and time-to-event data to investigate the causal effect of salvage therapy after prostatectomy
Dimitris Rizopoulos, Jeremy Mg Taylor, Grigorios Papageorgiou, et al.
Statistical Methods in Medical Research
|
April 22, 2021
Using multiple imputation to classify potential outcomes subgroups
Yun Li, Irina Bondarenko, Michael R Elliott, et al.
Statistical Methods in Medical Research
|
May 23, 2014
Individualized dynamic prediction of prostate cancer recurrence with and without the initiation of a second treatment: Development and validation
Mbéry Sène, Jeremy Mg Taylor, James J Dignam, et al.
Statistical Methods in Medical Research
|
October 13, 2021
Multiple imputation with missing data indicators
Lauren J Beesley, Irina Bondarenko, Michael R Elliot, et al.
Clinical Trials (London, England)
|
April 22, 2021
A Bayesian dose-finding design for outcomes evaluated with uncertainty
Matthew J Schipper, Ying Yuan, Jeremy Mg Taylor, et al.
Page
of 2