---
title: "muhaz (R package): papers citing this CRAN package"
description: "5 papers in the tracked journals link to muhaz (R package) in their Crossref records, the first in 2019; most of them (2) in 2019."
url: https://scholar4ai.com/code/cran-muhaz
markdown_url: https://scholar4ai.com/code/cran-muhaz.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "5 papers in the tracked journals link to muhaz (R package) in their Crossref records, the first in 2019; most of them (2) in 2019. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# muhaz (R package): papers linking to it

Research papers in the 480 tracked journals that link to muhaz (R package) (https://CRAN.R-project.org/package=muhaz), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

- CRAN
- https://CRAN.R-project.org/package=muhaz

All repositories: https://scholar4ai.com/code.md

## Key findings

- 5 papers in the tracked journals link to muhaz (R package) in their Crossref records, the first in 2019; most of them (2) in 2019.
- By category: Health Economics and Policy (3) and Statistics (2); the journals with the most are PharmacoEconomics (2), Statistics and Computing (1) and PharmacoEconomics - Open (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links muhaz (R package).

## By year

*Papers linking to muhaz (R package) by publication year*

| Year | Papers |
|---|---:|
| 2019 | 2 |
| 2021 | 1 |
| 2023 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to muhaz (R package) most*

| Journal | Papers |
|---|---:|
| [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | 2 |
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 1 |
| [PharmacoEconomics - Open](https://scholar4ai.com/journals/pharmacoeconomics-open.md) | 1 |
| [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [How Uncertain is the Survival Extrapolation? A Study of the Impact of Different Parametric Survival Models on Extrapolated Uncertainty About Hazard Functions, Lifetime Mean Survival and Cost Effectiveness](https://doi.org/10.1007/s40273-019-00853-x) (PharmacoEconomics, 2019)
  - [Retrospective Comparison of Survival Projections for CAR T-Cell Therapies in Large B-Cell Lymphoma](https://doi.org/10.1007/s41669-023-00435-w) (PharmacoEconomics - Open, 2023) — cites the paper above

## Papers

*Papers linking to muhaz (R package), most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2019-05-18 | [Estimating Lifetime Benefits Associated with Immuno-Oncology Therapies: Challenges and Approaches for Overall Survival Extrapolations](https://doi.org/10.1007/s40273-019-00806-4) | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | Mario Ouwens, Pralay Mukhopadhyay, Yiduo Zhang et al. | 94 | cites it |
| 2019-11-25 | [How Uncertain is the Survival Extrapolation? A Study of the Impact of Different Parametric Survival Models on Extrapolated Uncertainty About Hazard Functions, Lifetime Mean Survival and Cost Effectiveness](https://doi.org/10.1007/s40273-019-00853-x) | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | Benjamin Kearns, John Stevens, Shijie Ren et al. | 55 | cites it |
| 2023-08-31 | [Retrospective Comparison of Survival Projections for CAR T-Cell Therapies in Large B-Cell Lymphoma](https://doi.org/10.1007/s41669-023-00435-w) | [PharmacoEconomics - Open](https://scholar4ai.com/journals/pharmacoeconomics-open.md) | Elisabeth F.P. Peterse, Elisabeth J. M. Verburg-Baltussen, Alexa Stewart et al. | 2 | cites it |
| 2021-07-12 | [Instrumental variable estimation of early treatment effect in randomized screening trials](https://doi.org/10.1007/s10985-021-09527-3) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | Sudipta Saha, Zhihui Liu, Olli Saarela | 1 | cites it |
| 2026-05-23 | [A Gamma Generated New Pareto-type Distribution: A Comprehensive Mathematical Framework With Inferential Issues, Simulations and Implementation](https://doi.org/10.1007/s11222-026-10904-x) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Hmingthansanga, Sanjeeva Kumar Jha, Bhanita Das et al. | 0 | cites it |

## How this is measured

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

## Cite this page

Scholar4AI. (2026). muhaz (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-muhaz

```bibtex
@misc{scholar4ai-code-cran-muhaz,
  author = {{Scholar4AI}},
  title = {muhaz (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-muhaz}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).