The Determination of the Rating Regression Model in Construction

Import 22/07/2015Tématem diplomové práce je stanovení regresního ratingového modelu ve stavebnictví. Model je stanovován pomocí metody logistické regrese v programu SPSS. V diplomové práci je odhadován co nejvhodnější model pro predikci bankrotu ve stavebnictví. K odhadu vhodného regresního ratingového modelu je použit vzorek 100 vybraných firem z České republiky, které podnikají v oblasti stavebnictví. Diplomová práce je rozdělena na pět částí včetně úvodu a úvěru. Teoretická východiska regresních metod jsou popsána ve druhé kapitole práce. Třetí kapitola je věnována charakteristice odvětví stavebnictví. Ve čtvrté části práce je provedeno stanovení regresních ratingových modelů a zároveň je vybrán nejvhodnější model.The topic of this Thesis is to determinate the rating regression model in construction. The model is determined using logistic regression in the programm SPSS. To estimate an appropriate regression rating model is used a sample of 100 selected companies from the Czech Republic that operate in the field of construction. The thesis is divided into five parts, including the introduction and a conclusion. Theoretical basis of regression methods are described in the second chapter of the thesis. The third chapter is devoted the characteristics of the construction sector. The fourth section is conducted to determine the rating of regression models, and selected the most suitable model.154 - Katedra financívýborn

Decoding the Bland–Altman plot: Basic review

The Bland–Altman plot is a method for comparing two measurements of the same variable. The concept is that X-axis is the mean of your two measurements, and the Y-axis is the difference between the two measurements. The chart can then highlight anomalies, for example, if one method always gives too high a result, then all points are above or below the zero line. It can also reveal that one method overestimates high values and underestimates low values. If the points on the Bland–Altman plot are scattered all over the place, above and below zero, then it suggests that there is no consistent bias of one approach versus the other. It is, therefore, a good first step for two measurement techniques of a variable

The odds ratio: Principles and applications

The odds ratio (OR) is a simple tool, widely utilized in clinical research. As a simple statistic, it can be hand calculated to determine the odds of a particular event or a disease, and the information provided can be useful for understanding the results of a treatment/intervention. This article discusses the application of OR with examples and shows a simple way of performing the test using an online calculator

Utilization of alternative systems of medicine as health care services in India: Evidence on AYUSH care from NSS 2014.

AYUSH, an acronym for Ayurveda, Yoga and Naturopathy, Unani, Siddha, Sowa-Rigpa and Homeopathy represents the alternative systems of medicine recognized by the Government of India. Understanding the patterns of utilization of AYUSH care has been important for various reasons including an increased focus on its mainstreaming and integration with biomedicine-based health care system. Based on a nationally representative health survey 2014, we present an analysis to understand utilization of AYUSH care across socioeconomic and demographic groups in India. Overall, 6.9% of all patients seeking outpatient care in the reference period of last two weeks have used AYUSH services without any significant differentials across rural and urban India. Importantly, public health facilities play a key role in provisioning of AYUSH care in rural areas with higher utilization in Chhattisgarh, Kerala and West Bengal. Use of AYUSH among middle-income households is lower when compared with poorer and richer households. We also find that low-income households display a greater tendency for AYUSH self-medication. AYUSH care utilization is higher among patients with chronic diseases and also for treating skin-related and musculo-skeletal ailments. Although the overall share of AYUSH prescription drugs in total medical expenditure is only about 6% but the average expenditure for drugs on AYUSH and allopathy did not differ hugely. The discussion compares our estimates and findings with other studies and also highlights major policy issues around mainstreaming of AYUSH care

The story of heart transplantation: From cape town to cape comorin

Norman Shumway is widely regarded as the father of heart transplantation although the world's first adult human heart transplant was performed by Christiaan Barnard, on December 3, 1967, at the Groote Schuur Hospital in Cape Town, South Africa. Adrian Kantrowitz performed the world's first pediatric heart transplant on December 6, 1967 and Norman Shumway performed the first adult heart transplant in the United States on January 6, 1968, at the Stanford University Hospital. In India, PK Sen attempted the first heart transplant in humans soon after Christaan Barnaard but the first and subsequent patients died. The first successful heart transplant in India was by Dr. P Venugopal in 1994 at AIIMS, New Delhi. This was followed soon after by Dr. KM Cherian who also did the first pediatric and first heart lung transplant in India

Concentration curves for nature of treatment–Allopathy and ISM—In last 15 days (excluding hospitalization), Rural and Urban India, 2014.

<p>Source: Authors using NSSO 71^st Round on Social Consumption: Health (2014).</p

Percentage patients (persons reporting illness during reference period of last 15 days) receiving medical treatment (excluding hospitalization) by nature of treatment and State/UT, 2014.

<p>Percentage patients (persons reporting illness during reference period of last 15 days) receiving medical treatment (excluding hospitalization) by nature of treatment and State/UT, 2014.</p

Concentration indices for nature of treatment used in last 15 days (excluding hospitalization), Rural and Urban India, 2014.

<p>Concentration indices for nature of treatment used in last 15 days (excluding hospitalization), Rural and Urban India, 2014.</p

Probit selection model estimates for correlates of AYUSH use in last 15 days and AYUSH use on medical advice in last 15 days, NSS 2014.

<p>Probit selection model estimates for correlates of AYUSH use in last 15 days and AYUSH use on medical advice in last 15 days, NSS 2014.</p