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Statistical Issues and Lessons Learned From COVID-19 Clinical Trials With Lopinavir-Ritonavir and Remdesivir

Statistical Issues and Lessons Learned From COVID-19 Clinical Trials With Lopinavir-Ritonavir and Remdesivir

We take the three randomized clinical trials conducted by Cao et al [12] on lopinavir-ritonavir and by Wang et al [13] and Beigel et al [14] on remdesivir as examples to illustrate statistical issues and lessons learned, as they have drawn great attention in

Guosheng Yin, Chenyang Zhang, Huaqing Jin

JMIR Public Health Surveill 2020;6(3):e19538

A Protocol-Driven, Digital Conversational Agent at the Hospital Bedside to Support Nurse Teams and to Mitigate Delirium and Falls Risk

A Protocol-Driven, Digital Conversational Agent at the Hospital Bedside to Support Nurse Teams and to Mitigate Delirium and Falls Risk

RealMillbrae, CA,United States866 6964victor@care.coachhttp://orcid.org/0000-0001-7493-1981WexlerSharonPhD, RN2DruryLinPhD, RN2WangBrittanyMA11care.coach corporationMillbrae, CAUnited States2Pace UniversityNew York, NYUnited StatesCorresponding Author: Victor Wang

Victor Wang, Sharon Wexler, Lin Drury, Brittany Wang

iproc 2018;4(2):e11883

Depression Risk Prediction for Chinese Microblogs via Deep-Learning Methods: Content Analysis

Depression Risk Prediction for Chinese Microblogs via Deep-Learning Methods: Content Analysis

This study represents an extension of the study of Wang et al [16], who presented an annotated dataset of Chinese microblogs for depression risk prediction and compared four machine-learning methods, including the deep-learning method bidirectional encoder

Xiaofeng Wang, Shuai Chen, Tao Li, Wanting Li, Yejie Zhou, Jie Zheng, Qingcai Chen, Jun Yan, Buzhou Tang

JMIR Med Inform 2020;8(7):e17958

Developing a Comprehensive Model for Improving Quality of Life in Individuals with Alzheimer Disease and Related Dementia and Their Informal Caregivers: Qualitative Study of AZL Forum Data

Developing a Comprehensive Model for Improving Quality of Life in Individuals with Alzheimer Disease and Related Dementia and Their Informal Caregivers: Qualitative Study of AZL Forum Data

PhD1LewisBrittneyMS1LopezKatrinaBA1LiChengdongPhD1WhiteCarolePhD1SeshadriSudhaPhD1WangJingMPH, PhD1The University of Texas Health Science Center at San AntonioSan Antonio, TXUnited Stateswangj1@uthscsa.edu1The University of Texas Health Science Center at San AntonioSan Antonio, TXUnited StatesCorresponding Author: Jing Wang

Yan Du, Brittney Lewis, Katrina Lopez, Chengdong Li, Carole White, Sudha Seshadri, Jing Wang

iproc 2019;5(1):e16230

Mitigating Health Risks to Reopen a Clinical Research Laboratory During the COVID-19 Pandemic: A Framework

Mitigating Health Risks to Reopen a Clinical Research Laboratory During the COVID-19 Pandemic: A Framework

propose a tricolor risk alert system as demonstrated in the flow diagram in Figure 2.Table 1Viral detection and cultivation of live virus in clinical samples to date.Sample typeVirus detected by PCRaLive virus cultivatedReferenceNasal swabYesYesYang et al [27]; Wang

Eloise M Walker, Alice E Jasper, Lauren Davis, Kay Por Yip, Aduragbemi A Faniyi, Michael J Hughes, Helena A Crisford, Daniella A Spittle, Elizabeth Sapey, Kylie B R Belchamber, Aaron Scott

JMIR Res Protoc 2020;9(12):e22570

Patient Experience Connecting Mobile-Based Self-Monitoring of Diet and Physical Activity to Diabetes Educators through a Connected Interface in an Electronic System for Diabetes Education

Patient Experience Connecting Mobile-Based Self-Monitoring of Diet and Physical Activity to Diabetes Educators through a Connected Interface in an Electronic System for Diabetes Education

NCC1SiminerioLindaPhD, CDE, RN, FAAN2http://orcid.org/0000-0001-7748-21811School of NursingUniversity of Texas Health Science Center at San AntonioSan Antonio, TXUnited States2School of MedicineUniversity of PittsburghPittsburgh, PAUnited StatesCorresponding Author: Jing Wang

Jing Wang, Brittney Lewis, Linda Siminerio

iproc 2018;4(2):e11905

Data Quality Issues With Physician-Rating Websites: Systematic Review

Data Quality Issues With Physician-Rating Websites: Systematic Review

This study fills that literature gap by gleaning data quality issues from several previous studies and classifying them based on the data quality framework.Data Quality FrameworkWe used a data quality framework developed by Wang and Strong [58] to classify

Pavankumar Mulgund, Raj Sharman, Priya Anand, Shashank Shekhar, Priya Karadi

J Med Internet Res 2020;22(9):e15916