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Oral N-acetylcysteine for Retinitis Pigmentosa (NAC Attack)

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Know the risks and potential benefits of clinical studies and talk to your health care provider before participating. Read our disclaimer for details.
 
ClinicalTrials.gov Identifier: NCT05537220
Recruitment Status : Recruiting
First Posted : September 13, 2022
Last Update Posted : April 12, 2024
Sponsor:
Collaborators:
National Eye Institute (NEI)
Duke University
Emory University
Massachusetts Eye and Ear Infirmary
Mayo Clinic
Medical College of Wisconsin
Retina Foundation of the Southwest
Stanford University
University of California, Davis
University of Florida
University of Iowa
University of Miami
University of Michigan
University of Minnesota
University of Oklahoma
University of Southern California
University of Utah
University of Washington
University of Wisconsin, Madison
Vanderbilt University
Vitreo Retinal Associates, PA
University of Houston
Medical University of Graz
McGill University
Universität Tübingen
Centro Medico ABC
Radboud University Medical Center
University of Amsterdam
University Hospital, Basel, Switzerland
University College London Hospitals
Northwestern University
University of Pennsylvania
Information provided by (Responsible Party):
Johns Hopkins University

No Study Results Posted on ClinicalTrials.gov for this Study
Recruitment Status : Recruiting
Estimated Primary Completion Date : December 2028
Estimated Study Completion Date : December 2028
Publications:
FDA. E9(R1) Statistical Principles for Clinical Trials: Addendum: Estimands and Sensitivity Analysis in Clinical Trials. https://www.fda.gov/regulatory-information/search-fda-guidance-documents/e9r1-statistical-principles-clinical-trials-addendum-estimands-and-sensitivity-analysis-clinical. 2019.
Little R, Rubin D. Statistical Analysis with Missing Data. Wiley; 2002
SAS. SAS/STAT ® 14.1 User's Guide The MI Procedure. . 2015.
Horton NJ, Lipsitz SR. Multiple imputation in practice: Comparison of software packages for regression models with missing variables. Am Stat. 2001;55(3):244-254.
von Hippel PT. How to Impute Interactions, Squares and Other Transformed Variables. Sociol Methodol. 2009;39:265-291.
Campion WM. Multiple Imputation for Nonresponse in Surveys - Rubin,Db. J Marketing Res. 1989;26(4):485-486
Piantadosi S. Clinical trials : a methodologic perspective. 2005.