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Literature DB >> 32282018

Availability of Statistical Code From Studies Using Medicare Data in General Medical Journals.

Jennie DeBlanc¹, Bradley Kay², Jessica Lehrich³, Neil Kamdar⁴, Thomas S Valley^4,5, John Z Ayanian^4,6, Brahmajee K Nallamothu^3,4.

Abstract

Mesh：

Year: 2020 PMID： 32282018 PMCID： PMC7154950 DOI： 10.1001/jamainternmed.2020.0671

Source DB: PubMed Journal: JAMA Intern Med ISSN： 2168-6106 Impact factor: 21.873

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4 in total

1. Trust, But Verify.

Authors: Brahmajee K Nallamothu
Journal: Circ Cardiovasc Qual Outcomes Date: 2019-07-09

2. Issues with data and analyses: Errors, underlying themes, and potential solutions.

Authors: Andrew W Brown; Kathryn A Kaiser; David B Allison
Journal: Proc Natl Acad Sci U S A Date: 2018-03-13 Impact factor: 11.205

3. A historic moment for open science: the Yale University Open Data Access project and medtronic.

Authors: Harlan M Krumholz; Joseph S Ross; Cary P Gross; Ezekiel J Emanuel; Beth Hodshon; Jessica D Ritchie; Jeffrey B Low; Richard Lehman
Journal: Ann Intern Med Date: 2013-06-18 Impact factor: 25.391

Review 4. Use of the Medicare database in epidemiologic and health services research: a valuable source of real-world evidence on the older and disabled populations in the US.

Authors: Katherine E Mues; Alexander Liede; Jiannong Liu; James B Wetmore; Rebecca Zaha; Brian D Bradbury; Allan J Collins; David T Gilbertson
Journal: Clin Epidemiol Date: 2017-05-09 Impact factor: 4.790

4 in total

3 in total

Availability of Statistical Code From Studies Using Medicare Data in General Medical Journals.

1. Trust, But Verify.

2. Issues with data and analyses: Errors, underlying themes, and potential solutions.

3. A historic moment for open science: the Yale University Open Data Access project and medtronic.

Review 4. Use of the Medicare database in epidemiologic and health services research: a valuable source of real-world evidence on the older and disabled populations in the US.

1. Teaching reproducible research for medical students and postgraduate pharmaceutical scientists.

2. Generating high-fidelity synthetic time-to-event datasets to improve data transparency and accessibility.

3. Access to unpublished protocols and statistical analysis plans of randomised trials.