The prominence of allergic rhinitis continues to increase in India, with proven data from International study of asthma and allergies in childhood (ISSAC) studies. The Phase 1 conducted in 1998, reported a prevalence rate of 12.5% – 18.6% among children, which rose to 12.9%-23.6% in 2009 Phase-3 results.
Asthma presented substantial global burden, affecting 358.2 million people in 2015. A complex disease, it impairs the social, physical and psychological well-being of the affected. Furthermore, the asthmatic condition can be differentiated into controlled, partially controlled and uncontrolled. The differentiation finds its basis in the level of severity of clinical manifestations (Koshak, 2007).
Allergic asthma a well-known chronic disease, of heterogeneous nature, affects respiratory airways. It presents several phenotypes on the basis of the disease progress. These phenotypes form recognizable demographic and clinical clusters around the glob
Missing data is one of the most common problems in almost all statistical analyses. If the data is not available for all the observations of variables in the model, then it is a case of ‘missing data’.
Markov chain is one of the most important tests in order to deal with independent trials processes. There are two major principal theorems for these processes. The first one is the ‘Law of Large Numbers’ and the second one is the ‘Central Limit Theorem’.
Bootstrap and jackknife are superficially similar statistical techniques that involve re-sampling the data. They are nonparametric and specific resampling techniques that can estimate standard errors and confidence intervals of a population parameter.
Auto regressive Distributed Lag Models (ARDL) model plays a vital role when comes a need to analyze a economic scenario. In an economy, change in any economic variables may bring change in another economic variables beyond the time.