Modeling multinomial logistic regression on characteristics of smokers after the smoke-free campaign in the area of Melaka

Aziz, Nur Ain Abd; Ali, Zalila; Nor, Norlida Mohd; Baharum, Adam; Omar, Maizurah

doi:10.1063/1.4954625

Cited by 7 publications

(8 citation statements)

References 9 publications

(11 reference statements)

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“…The basic concept of the MLT is that it is a generalised version of the binary logistic regression model ( El-Habil, 2012 ), which uses a logit link function to analyse a binary dependent variable. In MLT, the multicategory (more than two) nominal outcomes are analysed, conducting binary logistic regression models for each category of the response variable involving an arbitrary reference category ( Aziz et al, 2016 ).…”

Section: Methodsmentioning

confidence: 99%

“…Let the

category of the response be the reference category and

be the

vector of the covariates from the

individual. The

logit model can then be written as follows ( Aziz et al, 2016 ):

where

is a constant and

is the

vector of the regression coefficients associated with the

category of the response. The estimated regression coefficient of the model can be interpreted easily using relative risk ratio (RRR).…”

Section: Methodsmentioning

confidence: 99%

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Behavioural changes in air-conditioner use owing to the COVID-19 movement control order in Malaysia

Toosty

Hagishima

Bari

et al. 2022

Sustainable Production and Consumption

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Remote work (working from home) became a norm rather than an exception for the global workforce during the COVID-19 pandemic, influencing every facet of life in both positive and negative ways. The stringent action of the Malaysian government in enacting the Movement Control Order (MCO) motivated the investigation of its impact on the energy consumption behaviour of working people regarding air-conditioner (AC) use. To this end, this study conducted a cross-sectional survey through an online platform. An ordinal logistic regression model (ORL) was used to analyse the collected data of 1873 respondents to determine the factors influencing the ordinal variable of interest, AC-usage behaviour during remote work. Next, the variable with unordered categories, the MCO-induced change in AC-usage behaviour, was analysed using a multinomial regression model (MLT) to identify the potential determinants. Finally, a reason analysis unveiled aspects behind the transition in AC use during remote work. This study identified stopping AC use during remote work despite using it at the office before the MCO period as the most significant change in AC-usage behaviour due to MCO. This change was frequently adopted by people with medium-level incomes and high electricity bills. By contrast, participants unfamiliar with their electricity bill were most likely to start AC use during remote work, although they did not use it before the MCO. Participants working remotely in the communal spaces of their houses preferred to stop using ACs during MCO compared to private room users. Furthermore, age group and ethnicity significantly influenced AC-usage behaviour in remote work and changes in such demeanours. These findings recommend policy interventions to expedite limited AC use for a sustainable energy sector, even during future climatic emergencies.

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Section: Methodsmentioning

confidence: 99%

“…Let the

category of the response be the reference category and

be the

vector of the covariates from the

individual. The

logit model can then be written as follows ( Aziz et al, 2016 ):

where

is a constant and

is the

vector of the regression coefficients associated with the

category of the response. The estimated regression coefficient of the model can be interpreted easily using relative risk ratio (RRR).…”

Section: Methodsmentioning

confidence: 99%

Behavioural changes in air-conditioner use owing to the COVID-19 movement control order in Malaysia

Toosty

Hagishima

Bari

et al. 2022

Sustainable Production and Consumption

View full text Add to dashboard Cite

show abstract

“…positive, negative or neutral). Multinomial logistic models are composed of k -1 equations that contrast the odds of one outcome level k compared with a reference level (Aziz et al, 2016). The reference group was first defined as the outcome level that had the most observations and was compared with each of the other two outcome levels (hereafter, comparison group).…”

Section: Statistical Analysesmentioning

confidence: 99%

Do microplastics mediate the effects of chemicals on aquatic organisms?

et al. 2022

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Microplastics are ubiquitous in both marine and freshwater ecosystems, where they can act as a physical contaminant, as well as interact with chemicals present in the environment. It has been suggested that chemical contaminants can sorb to microplastics, such that microplastics act as a vector for chemicals into aquatic biota and enhance their negative effects. It has been repeatedly suggested that the main factors underpinning the binding of chemicals to microplastics are hydrophobic partitioning and the size of microplastic particles.Therefore, we used the hydrophobicity of chemicals, as log Kow, as well as the size of microplastic particles to conduct a quantitative analysis of published results to evaluate the influence of microplastics on chemical toxicity. We collated data from 39 laboratory studies that assessed the effects of microplastics, chemicals and their combination on several ecotoxicological responses of freshwater and marine organisms. Each chemical was assigned the relevant octanol / water partition coefficient (log KOW) as a measure of its hydrophobicity, and the mean size of microplastics particles used in each study was recorded. We found no effect of log KOW or the size of microplastic particles on the interaction between microplastics and chemicals with regards to any of the relevant ecotoxicological responses (behaviour, growth, survival and cellular) considered in this study. These findings are significant in showing that the effect of microplastics on the toxicity of chemicals is more complex than just considering hydrophobicity of chemicals and size of microplastics. We call for more mechanistic experiments to motivate a robust risk assessment and mitigation of microplastic toxicity in the environment.

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“…Hermosila et al, [5] menyebutkan bahwa model regresi multinomial efektif digunakan untuk peubah respon yang memiliki lebih dari dua kategori. Model regresi logistik multinomial dapat digunakan untuk menganalisis pengaruh antar peubah prediktor dan respon yang berskala nominal dan ordinal (Adwiluvito, [1]; Aziz et al, [3]). Model yang dihasilkan dapat memberikan gambaran pengaruh faktor-faktor yang mempengaruhi status Pasien covid-19 di kota Depok, sehingga analisisnya dapat menjadi salah satu pertimbangan dalam pengendalian Covid-19 di Kota Depok.…”

Section: Pendahuluanunclassified

Analisis Regresi Logistik Multinomial pada Faktor-Faktor yang Mempengaruhi Status Pasien Covid-19 di Kota Depok

Putri

Andriyati

Rohaeti

2022

jmi

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Penelitian ini bertujuan untuk menganalisis pengaruh hubungan antara status pasien COVID-19 terhadap faktor-faktor yang mempengaruhi COVID-19 di Kota Depok dengan regresi logistik multinomial. Pengambilan data dilakukan menggunakan kuesioner dengan teknik snowball sampling. Peubah respon yang digunakan pada penelitian ini adalah suspek, terkonfirmasi, dan kontak erat dimana peubah tersebut merupakan jenis status pasien COVID-19. Peubah prediktor pada penelitian ini adalah usia, jenis kelamin, lokasi tempat tinggal, kondisi tempat tinggal, jenis pekerjaan, informasi, gaya hidup, riwayat kontak, fasilitas kesehatan dimana peubah tersebut merupakan faktor-faktor yang mempengaruhi status pasien COVID-19 di Kota Depok. Hasil uji kesesuaian model menggunakan uji Pearson didapatkan nilai P-value > 5% sehingga dapat dikatakan bahwa tidak ada perbedaan model hasil observasi dengan prediksi atau dengan kata lain model yang dihasilkan layak untuk digunakan. Hasil identifikasi diperoleh peubah yang sangat signifikan antara status pasien COVID-19 terhadap faktor-faktor yang mempengaruhinya di Kota Depok yaitu gaya hidup dengan kategori teratur berolahraga, riwayat kontak dengan kategori kurang dari sama dengan 3 hari. Peluang yang didapatkan dari masing-masing status pasein COVID-19 di Kota Depok sebesar 0,000000036 pada kategori terkonfirmasi, 0,999 pada kategori kontak erat dan 0,00000048 pada kategori suspek.

show abstract

Modeling multinomial logistic regression on characteristics of smokers after the smoke-free campaign in the area of Melaka

Cited by 7 publications

References 9 publications

Behavioural changes in air-conditioner use owing to the COVID-19 movement control order in Malaysia

Behavioural changes in air-conditioner use owing to the COVID-19 movement control order in Malaysia

Do microplastics mediate the effects of chemicals on aquatic organisms?

Analisis Regresi Logistik Multinomial pada Faktor-Faktor yang Mempengaruhi Status Pasien Covid-19 di Kota Depok

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