Skip to content
#software testing Open access

OPEN006: Cross-survey comparability of sleep-duration associations with PHQ-2 positivity — reproducibility materials

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)

Abstract

Analysis scripts and aggregate outputs accompanying the manuscript Cross-Survey Comparability of Sleep-Duration Associations With PHQ-2 Positivity in NHIS 2022 and NHANES 2021–2023. Version v6-code-20260916 adds a result-informed description of observed PHQ-2 positivity in five groups defined by original and half-up category boundaries, using full-frame Taylor ratio variance and pointwise logit–t intervals. Independent Python–R verification passed 93/93 checks without warnings; an isolated replay also matched 126 frozen fields and reproduced S20B byte for byte. No new outcome regressions or groupwise significance tests were added. These proportions are not standardized predictions or a decomposition of adjusted association changes. The package contains 24 logical tables in 25 CSV files (S20 panels A and B), two figures, dated plans, checksums, official download links, scripts and aggregate verification reports. No individual-level records are included. Obtain the official files separately from CDC/NCHS. Earlier model code, numerical outputs and figures are retained. Original model replays passed 1079/1079 and 930/930 checks on 14 September 2026 and were not repeated for this descriptive amendment. Computational agreement does not establish model validity, interval coverage or measurement equivalence. Result-informed amendments are not prospective preregistration. Manuscript-drafting and internal-review tools are excluded. Original software, including embedded comments, is licensed under MIT. Original standalone documentation, metadata, aggregate tables, figures and reports are licensed under CC BY 4.0. These licenses apply to different materials, not as alternative licenses for all files. See license.txt and LICENSES. CDC/NCHS source data and third-party dependencies retain their respective terms. Creators in manuscript order: Qingling Zhao; Xinyu Guo. Both: School of Psychology, Shandong Second Medical University, Weifang, Shandong, China. Funding: Natural Science Foundation of Shandong Province (ZR2024QC379 and ZR2025QC173); Shandong Provincial Social Science Planning Research Project (24DYYJ03 to Xinyu Guo). Funders provided financial support only.

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54
#computer vision Review Mar 2008

Agile methods in European embedded software development organisations: a survey on the actual use and usefulness of Extreme Programming and Scrum

The results show that the embedded industry has been able to apply agile methods in its development processes and that the appreciation of the agile methods and their individual practices appears to increase once adopted and applied in practice.

O. Salo, P. Abrahamsson · 238 citations · ⚡9
#computer vision Open access Jul 2017

What happens when software developers are (un)happy

Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 236 citations · ⚡13
#computer vision Open access Oct 2004

Mobile-D: an agile approach for mobile application development

The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed, which helped develop an agile development approach for mobile application development.

P. Abrahamsson, Antti Hanhineva, H. Hulkko et al. · 225 citations · ⚡18

Related blog posts

Microsoft Research Blog Oct 30, 2026

From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence

Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.

Microsoft Research Blog Oct 29, 2026

Microsoft Research Focus – Edition #97

Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.