0
We're unable to sign you in at this time. Please try again in a few minutes.
Retry
We were able to sign you in, but your subscription(s) could not be found. Please try again in a few minutes.
Retry
There may be a problem with your account. Please contact the AMA Service Center to resolve this issue.
Contact the AMA Service Center:
Telephone: 1 (800) 262-2350 or 1 (312) 670-7827  *   Email: subscriptions@jamanetwork.com
Error Message ......
Comment & Response |

Accounting for Missing Data in Clinical Research—Reply

Craig D. Newgard, MD, MPH1; Roger J. Lewis, MD, PhD2
[+] Author Affiliations
1Department of Emergency Medicine, Oregon Health and Science University, Portland
2Department of Emergency Medicine, Harbor-UCLA Medical Center, Torrance
JAMA. 2016;315(5):518. doi:10.1001/jama.2015.16470.
Text Size: A A A
Published online

Extract

In Reply Dr Stevens and colleagues highlight the KNN method and further the discussion about moving away from overly simplistic, biased methods for handling missing values. Our review of missing data methods was not exhaustive. For simplicity and clarity, we focused on methods that are more common in practice and readily available in statistical software packages. As a result, we omitted certain viable techniques for handling missing values (eg, KNN, hot-deck imputation, and maximum likelihood estimation).

Topics

Sign in

Purchase Options

• Buy this article
• Subscribe to the journal
• Rent this article ?

First Page Preview

View Large
First page PDF preview

Figures

Tables

References

February 2, 2016
John R. Stevens, PhD; Anvar Suyundikov, PhD; Martha L. Slattery, PhD, MPH
1Department of Mathematics and Statistics, Utah State University, Logan
2BioStat Solutions Inc, Frederick, Maryland
3Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
JAMA. 2016;315(5):517-518. doi:10.1001/jama.2015.16461.
CME
Also Meets CME requirements for:
Browse CME for all U.S. States
Accreditation Information
The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
Note: You must get at least of the answers correct to pass this quiz.
Please click the checkbox indicating that you have read the full article in order to submit your answers.
Your answers have been saved for later.
You have not filled in all the answers to complete this quiz
The following questions were not answered:
Sorry, you have unsuccessfully completed this CME quiz with a score of
The following questions were not answered correctly:
Commitment to Change (optional):
Indicate what change(s) you will implement in your practice, if any, based on this CME course.
Your quiz results:
The filled radio buttons indicate your responses. The preferred responses are highlighted
For CME Course: A Proposed Model for Initial Assessment and Management of Acute Heart Failure Syndromes
Indicate what changes(s) you will implement in your practice, if any, based on this CME course.

Multimedia

Some tools below are only available to our subscribers or users with an online account.

539 Views
0 Citations
×

Sign in

Purchase Options

• Buy this article
• Subscribe to the journal
• Rent this article ?

Related Content

Customize your page view by dragging & repositioning the boxes below.

See Also...
Jobs
brightcove.createExperiences();