PROpwr: a Shiny R application to analyze patient-reported outcomes data and estimate power-Reference-Cited by-同舟云学术

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PROpwr: a Shiny R application to analyze patient-reported outcomes data and estimate power

Published:2024-06-13 Issue: Volume: Page:1-12
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Hu Jinxiang¹,Mei Xiaohang¹,Pepper Sam¹,Wang Yu²,Zhang Bo³,Cernik Colin⁴,Gajewski Byron¹

Affiliation:

1. Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA

2. Biometrics, Bristol Myers Squibb, USA

3. Food & Drug Administration, Division of Biometrics III, USA

4. Department of Data Science, Dana-Farber Cancer Institute, USA

Funder

the University of Kansas Cancer Center

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10543406.2024.2365966

Reference40 articles.

1. Comparison of three tests of homogeneity of odds ratios in multicenter trials with unequal sample sizes within and among centers

2. Use of item response theory to develop a shortened version of the EORTC QLQ-C30 emotional functioning scale

3. Power and Sample Size Determination for the Group Comparison of Patient-Reported Outcomes with Rasch Family Models

4. Patient-reported outcomes in randomized clinical trials: development of ISOQOL reporting standards

5. Bushmakin, A. G., and J. C. Cappelleri. 2022. A practical approach to quantitative validation of patient-reported outcomes: a simulation-based guide using SAS. Hoboken, NJ: John Wiley & Sons

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