Evidence map›Paper›PMID 32549906›Full record

ArticleComputational and mathematical methods in medicine2020

A New Extended-

Mi Zichuan, Saddam Hussain, Anum Iftikhar, Muhammad Ilyas, Zubair Ahmad, Dost Muhammad Khan, Sadaf Manzoor

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and mathematical methods in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

7 authors.

Mi ZichuanSchool of Statistics, Shanxi University of Finance and Economic, Taiyuan, China.
Saddam HussainSchool of Statistics, Shanxi University of Finance and Economic, Taiyuan, China.ORCID https://orcid.org/0000-0002-5521-4116
Anum IftikharSchool of Statistics, Shanxi University of Finance and Economic, Taiyuan, China.
Muhammad IlyasDepartment of Statistics, University of Malakand, Dir (L), KP, Pakistan.
Zubair AhmadDepartment of Statistics, Yazd University, P.O. Box 89175-741, Yazd, Iran.ORCID https://orcid.org/0000-0003-3782-4081
Dost Muhammad KhanDepartment of Statistics, Abdul Wali University Mardan, KP, Pakistan.ORCID https://orcid.org/0000-0002-3919-8136
Sadaf ManzoorDepartment of Statistics, Islamia College Peshawar, KP, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the past couple of years, statistical distributions have been widely used in applied areas such as reliability engineering, medical, and financial sciences. In this context, we come across a diverse range of statistical distributions for modeling heavy tailed data sets. Well-known distributions are log-normal, log-

Indexed as

Models, StatisticalStatistical DistributionsComputational BiologyComputer SimulationDatabases, FactualHumansLikelihood FunctionsMathematical ConceptsMonte Carlo Method

Identifiers

PMID32549906
PMCPMC7270997

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.