Evidence map›Paper›PMID 37676891›Full record

ArticlePloS one2023

The Gull Alpha Power Lomax distributions: Properties, simulation, and applications to modeling COVID-19 mortality rates.

Ahlam H Tolba, Abdisalam Hassan Muse, Aisha Fayomi, Hanan M Baaqeel, Ehab M Almetwally

Abstract read
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In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ahlam H TolbaMathematics Department, Faculty of Science, Mansoura University, Mansoura, Egypt.ORCID 0000-0001-8938-9187
Abdisalam Hassan MuseFaculty of Science and Humanities, School of Postgraduate Studies and Research, Amoud University, Borama, Somalia.ORCID 0000-0003-4905-0044
Aisha FayomiFaculty of Science Department of Statistics King Abdulaziz University, Jeddah, Saudi Arabia.
Hanan M BaaqeelFaculty of Science Department of Statistics King Abdulaziz University, Jeddah, Saudi Arabia.
Ehab M AlmetwallyDepartment of Statistics, Faculty of Business Administration, Delta University for Science and Technology, Gamasa, Egypt.ORCID 0000-0002-3888-1275

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Gull Alpha Power Lomax distribution is a new extension of the Lomax distribution that we developed in this paper (GAPL). The proposed distribution's appropriateness stems from its usefulness to model both monotonic and non-monotonic hazard rate functions, which are widely used in reliability engineering and survival analysis. In addition to their special cases, many statistical features were determined. The maximum likelihood method is used to estimate the model's unknown parameters. Furthermore, the proposed distribution's usefulness is demonstrated using two medical data sets dealing with COVID-19 patients' mortality rates, as well as extensive simulated data applied to assess the performance of the estimators of the proposed distribution.

Indexed as

CharadriiformesCOVID-19AnimalsComputer SimulationEngineeringHumansReproducibility of Results

Identifiers

PMID37676891
PMCPMC10484464

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.