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BMJ Open
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December 1, 2019
Machine learning with sparse nutrition data to improve cardiovascular mortality risk prediction in the USA using nationally randomly sampled data
Joseph Rigdon, Sanjay Basu
Statistics in Medicine
|
December 5, 2014
Randomization inference for treatment effects on a binary outcome
Joseph Rigdon, Michael G Hudgens
JAMA Network Open
|
March 9, 2019
Using Machine Learning to Identify Heterogeneous Effects in Randomized Clinical Trials-Moving Beyond the Forest Plot and Into the Forest
Benjamin A Goldstein, Joseph Rigdon
Statistics & Probability Letters
|
July 21, 2015
Exact Confidence Intervals in the Presence of Interference
Joseph Rigdon, Michael G Hudgens
Trials
|
July 18, 2018
Preventing false discovery of heterogeneous treatment effect subgroups in randomized trials
Joseph Rigdon, Michael Baiocchi, Sanjay Basu
Journal of Statistical Software
|
November 3, 2018
Near-Far Matching in R: The nearfar Package
Joseph Rigdon, Michael Baiocchi, Sanjay Basu
Journal of Investigative Medicine : the Official Publication of the American Federation for Clinical Research
|
December 12, 2018
Association of triglyceride to HDL cholesterol ratio with cardiometabolic outcomes
May Yang, Joseph Rigdon, Sandra A Tsai
Statistics in Medicine
|
January 18, 2017
Response to comment on 'Randomization inference for treatment effects on a binary outcome'
Joseph Rigdon, Wen Wei Loh, Michael G Hudgens
ACR Open Rheumatology
|
June 18, 2022
Association Between Patient-Reported Outcomes and Treatment Failure in Juvenile Idiopathic Arthritis
Alysha Taxter, Brittany C Donaldson, Joseph Rigdon, et al.
Nutrition Research (New York, N.Y.)
|
March 16, 2018
Antioxidants from diet or supplements do not alter inflammatory markers in adults with cardiovascular disease risk. A pilot randomized controlled trial
Antonella Dewell, Philip Tsao, Joseph Rigdon, et al.
Page
of 12
Search research articles
Search
Showing results (1-10 of 112) with videos related to
Sort By:
Page
of 12
BMJ Open
|
December 1, 2019
Machine learning with sparse nutrition data to improve cardiovascular mortality risk prediction in the USA using nationally randomly sampled data
Joseph Rigdon, Sanjay Basu
Statistics in Medicine
|
December 5, 2014
Randomization inference for treatment effects on a binary outcome
Joseph Rigdon, Michael G Hudgens
JAMA Network Open
|
March 9, 2019
Using Machine Learning to Identify Heterogeneous Effects in Randomized Clinical Trials-Moving Beyond the Forest Plot and Into the Forest
Benjamin A Goldstein, Joseph Rigdon
Statistics & Probability Letters
|
July 21, 2015
Exact Confidence Intervals in the Presence of Interference
Joseph Rigdon, Michael G Hudgens
Trials
|
July 18, 2018
Preventing false discovery of heterogeneous treatment effect subgroups in randomized trials
Joseph Rigdon, Michael Baiocchi, Sanjay Basu
Journal of Statistical Software
|
November 3, 2018
Near-Far Matching in R: The nearfar Package
Joseph Rigdon, Michael Baiocchi, Sanjay Basu
Journal of Investigative Medicine : the Official Publication of the American Federation for Clinical Research
|
December 12, 2018
Association of triglyceride to HDL cholesterol ratio with cardiometabolic outcomes
May Yang, Joseph Rigdon, Sandra A Tsai
Statistics in Medicine
|
January 18, 2017
Response to comment on 'Randomization inference for treatment effects on a binary outcome'
Joseph Rigdon, Wen Wei Loh, Michael G Hudgens
ACR Open Rheumatology
|
June 18, 2022
Association Between Patient-Reported Outcomes and Treatment Failure in Juvenile Idiopathic Arthritis
Alysha Taxter, Brittany C Donaldson, Joseph Rigdon, et al.
Nutrition Research (New York, N.Y.)
|
March 16, 2018
Antioxidants from diet or supplements do not alter inflammatory markers in adults with cardiovascular disease risk. A pilot randomized controlled trial
Antonella Dewell, Philip Tsao, Joseph Rigdon, et al.
Page
of 12