One connector, four scholarly indexes, real DOIs and legal free PDFs. Works in Claude and ChatGPT.
Paste it into Claude or ChatGPT as a custom connector. 3-day free trial.
András Lánczky, Balázs Győrffy
BACKGROUND: Survival analysis is a cornerstone of medical research, enabling the assessment of clinical outcomes for disease progression and treatment efficiency. Despite its central importance, no commonly used spreadsheet software can handle survival analysis and there is no web server available for its computation. OBJECTIVE: Here, we introduce a web-based tool capable of performing univariate and multivariate Cox proportional hazards survival analysis using data generated by genomic, transcriptomic, proteomic, or metabolomic studies. METHODS: We implemented different methods to establish cut-off values for the trichotomization or dichotomization of continuous data. The false discovery rate is computed to correct for multiple hypothesis testing. A multivariate analysis option enables comparing omics data with clinical variables. RESULTS: We established a registration-free web-based survival analysis tool capable of performing univariate and multivariate survival analysis using any custom-generated data. CONCLUSIONS: This tool fills a gap and will be an invaluable contribution to basic medical and clinical research.
Formatted from the source metadata, not typed by hand. For a whole reference list, use the citation generator or ask your assistant through Find Research.
Lánczky, A., & Győrffy, B. (2021). Web-Based Survival Analysis Tool Tailored for Medical Research (KMplot): Development and Implementation. Journal of Medical Internet Research, 23(7), e27633. https://doi.org/10.2196/27633
Lánczky, András, and Balázs Győrffy. "Web-Based Survival Analysis Tool Tailored for Medical Research (KMplot): Development and Implementation." Journal of Medical Internet Research, vol. 23, no. 7, 2021, pp. e27633, https://doi.org/10.2196/27633.
Lánczky, András, and Balázs Győrffy. "Web-Based Survival Analysis Tool Tailored for Medical Research (KMplot): Development and Implementation." Journal of Medical Internet Research 23, no. 7 (2021): e27633. https://doi.org/10.2196/27633.
Lánczky A., Győrffy B. Web-Based Survival Analysis Tool Tailored for Medical Research (KMplot): Development and Implementation // Journal of Medical Internet Research. — 2021. — Vol. 23, № 7. — P. e27633. — URL: https://doi.org/10.2196/27633
@article{lanczky2021webbased,
title = {{Web-Based Survival Analysis Tool Tailored for Medical Research (KMplot): Development and Implementation}},
author = {András Lánczky and Balázs Győrffy},
journal = {Journal of Medical Internet Research},
year = {2021},
volume = {23},
number = {7},
pages = {e27633},
doi = {10.2196/27633},
url = {https://doi.org/10.2196/27633}
}TY - JOUR AU - Lánczky, András AU - Győrffy, Balázs TI - Web-Based Survival Analysis Tool Tailored for Medical Research (KMplot): Development and Implementation JO - Journal of Medical Internet Research VL - 23 IS - 7 SP - e27633 PY - 2021 DA - 2021/05/06 DO - 10.2196/27633 UR - https://doi.org/10.2196/27633 ER -
Add Find Research to Claude or ChatGPT and ask in plain language. The assistant reads this record, finds the papers around it and cites only what it actually found:
Setup takes about a minute: add the connector, then start the free trial.
Record from OpenAlex; open-access location from Unpaywall and the indexes. Find Research links only to legal copies.