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Biometrics
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July 6, 2018
A partially linear proportional hazards model for current status data
Minggen Lu, Christopher S McMahan
Environmetrics
|
October 31, 2017
Spatially Modeling the Effects of Meteorological Drivers of PM<sub>2.5</sub> in the Eastern United States via a Local Linear Penalized Quantile Regression Estimator
Brook T Russell, Dewei Wang, Christopher S McMahan
Biometrics
|
September 30, 2018
Adaptive elastic net for group testing
Karl B Gregory, Dewei Wang, Christopher S McMahan
Statistics in Medicine
|
June 14, 2013
Regression analysis for current status data using the EM algorithm
Christopher S McMahan, Lianming Wang, Joshua M Tebbs
Statistics in Medicine
|
July 16, 2015
A general regression framework for group testing data, which incorporates pool dilution effects
Dewei Wang, Christopher S McMahan, Colin M Gallagher
Communications in Statistics: Theory and Methods
|
February 26, 2021
A Robust Regression Methodology via M-estimation
Tao Yang, Colin M Gallagher, Christopher S McMahan
Lifetime Data Analysis
|
October 8, 2022
A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model
Prabhashi W Withana Gamage, Christopher S McMahan, Lianming Wang
Biometrics
|
September 11, 2015
Rejoinder to "Reader reaction: A note on the evaluation of group testing algorithms in the presence of misclassification"
Christopher S McMahan, Joshua M Tebbs, Christopher R Bilder
Statistics in Medicine
|
July 12, 2021
Discussion on "Is group testing ready for prime-time in disease identification"
Christopher R Bilder, Joshua M Tebbs, Christopher S McMahan
The American Statistician
|
March 15, 2021
Sampling Strategies for Fast Updating of Gaussian Markov Random Fields
D Andrew Brown, Christopher S McMahan, Stella Watson Self
Page
of 8
Search research articles
Search
Showing results (1-10 of 78) with videos related to
Sort By:
Page
of 8
Biometrics
|
July 6, 2018
A partially linear proportional hazards model for current status data
Minggen Lu, Christopher S McMahan
Environmetrics
|
October 31, 2017
Spatially Modeling the Effects of Meteorological Drivers of PM<sub>2.5</sub> in the Eastern United States via a Local Linear Penalized Quantile Regression Estimator
Brook T Russell, Dewei Wang, Christopher S McMahan
Biometrics
|
September 30, 2018
Adaptive elastic net for group testing
Karl B Gregory, Dewei Wang, Christopher S McMahan
Statistics in Medicine
|
June 14, 2013
Regression analysis for current status data using the EM algorithm
Christopher S McMahan, Lianming Wang, Joshua M Tebbs
Statistics in Medicine
|
July 16, 2015
A general regression framework for group testing data, which incorporates pool dilution effects
Dewei Wang, Christopher S McMahan, Colin M Gallagher
Communications in Statistics: Theory and Methods
|
February 26, 2021
A Robust Regression Methodology via M-estimation
Tao Yang, Colin M Gallagher, Christopher S McMahan
Lifetime Data Analysis
|
October 8, 2022
A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model
Prabhashi W Withana Gamage, Christopher S McMahan, Lianming Wang
Biometrics
|
September 11, 2015
Rejoinder to "Reader reaction: A note on the evaluation of group testing algorithms in the presence of misclassification"
Christopher S McMahan, Joshua M Tebbs, Christopher R Bilder
Statistics in Medicine
|
July 12, 2021
Discussion on "Is group testing ready for prime-time in disease identification"
Christopher R Bilder, Joshua M Tebbs, Christopher S McMahan
The American Statistician
|
March 15, 2021
Sampling Strategies for Fast Updating of Gaussian Markov Random Fields
D Andrew Brown, Christopher S McMahan, Stella Watson Self
Page
of 8