Evidence map›Paper›PMID 38624854›Full record

ArticleAnnals of data science2022

Three-Inflated Poisson Distribution and its Application in Suicide Cases of India During Covid-19 Pandemic.

Tousifur Rahman, Partha Jyoti Hazarika, M Masoom Ali, Manash Pratim Barman

Abstract read
In one paragraph

Article in Annals of data science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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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

4 authors.

Tousifur RahmanDepartment of Statistics, Dibrugarh University, Dibrugarh, Assam 786004 India.ORCID 0000-0002-8438-2768
Partha Jyoti HazarikaDepartment of Statistics, Dibrugarh University, Dibrugarh, Assam 786004 India.ORCID 0000-0002-8370-9028
M Masoom AliDepartment of Mathematical Sciences, Ball State University, Muncie, IN 47306 USA.
Manash Pratim BarmanDepartment of Statistics, Dibrugarh University, Dibrugarh, Assam 786004 India.ORCID 0000-0002-2235-5457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflated models are generally used whenever there is an excess number of frequencies at particular count. In this study, a three-inflated Poisson (ThIP) distribution is proposed by mixing the Poisson distribution and a distribution to a point mass at three. Some of its distribution properties and reliability characteristics are studied. A simulation study is carried out to see the performance of the MLEs. In India Covid-19 implications on mental health have been abysmal. Covid-19 related suicide data of India during lockdown to the first gradual relaxation of the terms of the total lockdown (unlocking 1.0) are used to examine the appropriateness of the proposed distribution. Likelihood ratio test is used for discriminating between Poisson and the proposed distribution.

Indexed as

Covid-19HealthInflatedMLEThree-inflated Poisson distribution

Identifiers

PMID38624854
PMCPMC8923122

What OpenQuestion holds

Textmetadata
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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.