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Laine E Thomas

Showing results (1-10 of 54) with videos related to

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JAMA Cardiology|August 4, 2018
Tools for Evaluating and Improving Causal Inference: Introducing JAMA Cardiology Readers to the Risk of Bias in Nonrandomized Studies of Interventions (ROBINS-I) ToolMark D Huffman, Laine E Thomas
JAMA Cardiology|October 13, 2016
Do Not Over (P) Value Your Research ArticleLaine E Thomas, Michael J Pencina
American Heart Journal|February 10, 2016
Untangling the paradox: Obesity as prognostic marker in prevalent cardiovascular diseaseEmily C O'Brien, Laine E Thomas
JAMA Cardiology|July 21, 2016
Using Data to Guide Anticoagulation in Patients With Atrial Fibrillation: Does the Analysis Fit the Question?John H Alexander, Laine E Thomas
Statistical Methods in Medical Research|February 1, 2018
Separating variability in healthcare practice patterns from random errorLaine E Thomas, Phillip J Schulte
American Journal of Epidemiology|November 6, 2020
RE:"ADDRESSING EXTREME PROPENSITY SCORES VIA THE OVERLAP WEIGHTS"Fan Li, Laine E Thomas, Fan Li
American Journal of Epidemiology|September 7, 2018
Addressing Extreme Propensity Scores via the Overlap WeightsFan Li, Laine E Thomas, Fan Li
JAMA|May 6, 2020
Overlap Weighting: A Propensity Score Method That Mimics Attributes of a Randomized Clinical TrialLaine E Thomas, Fan Li, Michael J Pencina
Clinical Trials (London, England)|July 16, 2021
Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approachSiyun Yang, Fan Li, Laine E Thomas, et al.
Statistical Methods in Medical Research|August 10, 2023
Propensity score weighting methods for causal subgroup analysis with time-to-event outcomesSiyun Yang, Ruiwen Zhou, Fan Li, et al.
Pageof 6

Showing results (1-10 of 54) with videos related to

Sort By:
Pageof 6
JAMA Cardiology|August 4, 2018
Tools for Evaluating and Improving Causal Inference: Introducing JAMA Cardiology Readers to the Risk of Bias in Nonrandomized Studies of Interventions (ROBINS-I) ToolMark D Huffman, Laine E Thomas
JAMA Cardiology|October 13, 2016
Do Not Over (P) Value Your Research ArticleLaine E Thomas, Michael J Pencina
American Heart Journal|February 10, 2016
Untangling the paradox: Obesity as prognostic marker in prevalent cardiovascular diseaseEmily C O'Brien, Laine E Thomas
JAMA Cardiology|July 21, 2016
Using Data to Guide Anticoagulation in Patients With Atrial Fibrillation: Does the Analysis Fit the Question?John H Alexander, Laine E Thomas
Statistical Methods in Medical Research|February 1, 2018
Separating variability in healthcare practice patterns from random errorLaine E Thomas, Phillip J Schulte
American Journal of Epidemiology|November 6, 2020
RE:"ADDRESSING EXTREME PROPENSITY SCORES VIA THE OVERLAP WEIGHTS"Fan Li, Laine E Thomas, Fan Li
American Journal of Epidemiology|September 7, 2018
Addressing Extreme Propensity Scores via the Overlap WeightsFan Li, Laine E Thomas, Fan Li
JAMA|May 6, 2020
Overlap Weighting: A Propensity Score Method That Mimics Attributes of a Randomized Clinical TrialLaine E Thomas, Fan Li, Michael J Pencina
Clinical Trials (London, England)|July 16, 2021
Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approachSiyun Yang, Fan Li, Laine E Thomas, et al.
Statistical Methods in Medical Research|August 10, 2023
Propensity score weighting methods for causal subgroup analysis with time-to-event outcomesSiyun Yang, Ruiwen Zhou, Fan Li, et al.
Pageof 6