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Article
Open AccessDecadal analysis of measles epidemiological data in India (2011–2020)
Despite India being one of the largest contributors to the measles burden, crucial epidemiological information is significantly lacking. We have analyzed the national-level representative data between 2011 and...
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Article
Open AccessStructured Counselling and Regular Telephonic follow up to improve Referral flow and compliance in Nepal for Diabetic Retinopathy(SCREEN-D Study): a randomised controlled trial
Diabetic Retinopathy (DR) is an emerging public health issue, leading to severe visual impairment or blindness. Early identification and prompt treatment play a key role in achieving good visual outcomes. The ...
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Article
Theory and practice of a bivariate trigonometric Burr XII distribution
The precise modeling of bivariate continuous characteristics remains an actual challenge in probability and statistics. In this paper, we explore a new strategy based on the combination of a simple polynomial-...
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Article
Bayesian Estimation of Multiple Covariate of Autoregressive (MC-AR) Model
In present scenario, handling covariate/explanatory variable with the model is one of most important factor to study with the models. The main advantages of covariate are it’s dependency on past observations. ...
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Article
Bayesian Estimation of Stress Strength Reliability from Inverse Chen Distribution with Application on Failure Time Data
In this article, we develop Bayesian estimation procedure for estimating the stress strength reliability R = P [X > Y ] when X (strength) and Y (stress) are the inverse Chen random variables. First, we study some...
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Article
Open Access“Augmenting the referral pathway for retinal services among diabetic patients at Reiyukai Eiko Masunaga Eye Hospital, Nepal: a non-randomized, pre-post intervention study”
Diabetic Retinopathy (DR) is an important public health issue in Nepal. Despite the availability of retinal services, people may not access them because of the lack of knowledge about DR and poor referral syst...
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Article
Study of the trend pattern of COVID-19 using spline-based time series model: a Bayesian paradigm
A vast majority of the countries are under economic and health crises due to the current epidemic of coronavirus disease 2019 (COVID-19). The present study analyzes the COVID-19 using time series, an essential...
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Article
Weighted Lindley multiplicative regression frailty models under random censored data
The emphasis of conventional survival research methods has historically been on the occurrence of failures over time. The lack of knowledge of related observed and unobserved covariates during the study of suc...
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Article
Bayesian estimation for threshold autoregressive model with multiple structural breaks
This paper provides a Bayesian setup for multiple regimes threshold autoregressive model with possible break points. A full conditional posterior distribution is obtained for all model parameters with consider...
