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This paper aims to propose a suitable statistical model for the age distribution of prostate cancer detection. Descriptive studies suggest the onset of prostate cancer after 37 years of age with maximum diagnosis age at around 70 years. The major deficiency of descriptive studies is that the results cannot be generalized for all types of populations usually having non-identical environmental conditions. The proposition follows by checking the suitability of the model through different statistical tools like Akaike Information Criterion, Kolmogorov- Smirnov distance, Bayesian Information Criterion and _χ2 statistic. The Maximum likelihood estimate of the parameters of the proposed model along with their asymptotic confidence intervals have been obtained for the considered real data set.

Studies have examined the differences in sociodemographic/clinical characteristics between patients on long-acting injectable (LAI) versus oral medications. However, most studies did not focus specifically on patients for whom LAIs would clearly be indicated. We performed a chart review of patients with schizophrenia or schizoaffective disorder. Patients were categorized as having an ‘indication for an LAI’ or not on the basis of their adherence history. Patients for whom an LAI was indicated and prescribed on discharge were then compared with similar patients for whom an LAI was not prescribed. Of 305 charts reviewed, consisting of 279 unique patients, 27.2% were judged to have an indication for an LAI (n = 76), but only 32.9% of these (n = 25) were discharged on an LAI. In the multiregression model, being African American, residing in a psychiatric residence, having a previous history of an LAI trial, and being treated with a higher antipsychotic dose were predictive of LAI prescription. It is important to focus on the population who are not likely to receive an LAI, but who have such indications for treatment.

Vi polysaccharide typhoid vaccines cannot be used in children