This study examines if the prediction of cardiovascular disease in hypertensive patients can be improved upon when renal function and microalbuminuria are added to the classical risk factors The predictive capability of a model is measured by discrimination, calibration, reclassification and Harrell's C.The results are ambigious. In most cases, microalbuminuria should be included in the model, but the results regarding the other measures of renal function are varied. Therefore, the selection of risk factors to include in the model depends on which measure of prediction one prioritizes..

This study compares the sample variance of the mean in a simple random sample (SRS) and a systematic sample from a surface. The study also compares the prediction error variance in a SRS and systematic sample from a random field. Recommendations are presented on which method to use in the clearance and exemption process in the nuclear industry. The results indicate that quadratic systematic sampling outperformed SRS in most instances and proved to be especially efficient in the presence of a long-ranged covariance function and high sampling intensity (i.e. short distances between observations).

Syftet med denna uppsats var att pröva om de centrala begreppen i Guidelines for OperationalPlanning GOP är relevanta/allmängiltiga, genom att placera dem i ett historiskt perspektiv. Jagvalde att analysera den amerikanska planeringen vid slaget om Midway med hjälp utavGuidelines for Operational Planning. Från de centrala begrepp som återfinns i GOP har jagundersökt om dessa går att spåra i den amerikanska planeringen som skedde före och underslaget vid Midway.Midway var vändpunkten för kriget i stilla havet. Efter en serie av fantastiska segrar erhöllJapans flotta ett enormt bakslag. Fyra hangarfartyg och huvuddelen av de mest erfarna piloterna iJapan var tillintetgjorda.

People live longer. There is a growing need to increase the knowledge of aging and of the need among the elderly for medical care in the near future. As a step towards meeting this need, a survey among the elderly in Skåne is made by the division of Geriatric Medicine in Malmö University Hospital. This survey is called Gott åldrande i Skåne, GÅS. A frequent decease among the elderly is Mild Cognitive Impairment (MCI).

This paper aims to analyze how child restraint systems (CRS) in cars should be positioned to protect children at the ages 1 to 5. The study is preformed in co-operation with the Swedish insurance company Folksam. Data from Folksam´s database on car crashes in the years 1999-2004 is being used in this study. Every child in the ages 1 to 5 was searched for in the database, which resulted in 184 observations. To perform the analysis, categorical data analysis is suitable.

There has been an increasing interest for ranking of Swedish health care and a lot of emphasis has been placed on the creation of indicators in order to rank hospital units. However, essays on to what extent the choice of statistical method affects the final result of the ranking of health care units have not been given the same attention. For this particular reason, the main objective of this essay has been to investigate whether the choice of statistical model has a significant impact or not on the final result, by using five different, more or less common, statistical approaches: bar charts (with and without confidence intervals), control charts, logistic regression, multi-level analysis using shrunken residuals. The analyzed material in the essay comprises 24119 patients that all have been prescribed some form of the lipid-reducing medicine statin. According to directives given by Region Skåne, doctors are encouraged to prescribe a particular type of statin medicine, namely Simvastatin, which has been proved to be equally effective, but significantly cheaper than other statin medicines.

An important task for Region Skåne is to allocate resources to the health care districts. From 1999 to 2002 Region Skåne used needs-based resource allocation as a model for allocating resources. In a needs-based resource allocation individuals with the same socioeconomic and demographic characteristics are assumed to have the same level of need and are therefore allocated the same amount of resources. During the period of needs-based resource allocation a matrix model was used as a method. In the matrix model individuals were divided into cells after each combination of the socioeconomic and demographic variables.

In the western world, strokes are the third most common cause of death, hitting mainly the elderly population. Smoking, high blood pressure, diabetes and overweight are known risk factors for causing strokes. Previous studies show that an increased level of particulate matter, PM, is also related to an increased number of strokes. The population in this study consists of patients over 65 years old who live in Malmö. Levels of particulate matter were measured from October 2004 to April 2005 at a central outdoor monitoring site in Malmö.

The aim of this study was to develop and psychometrically evaluate an instrument for measuring the impact from chronic pain on daily life. Traditionally psychometric evaluation is done with parametric methods even if the items are ordinal data. In this study the instrument to be developed is solely based on ordinal data, and the psychometrically evaluation is done with both traditional methods (i.e. parametric statistics) as well as with non-parametric methods. These two different ways of psychometrically evaluation are then compared with each other.

This thesis purpose is to determine an explanation of the efficiency in a labour-market related project. ?Enter? is an EU-financed project with a focus on long-term unemployed workers in the district Härlanda, Gothenburg. Starting in September 2004, Enter offers individually based coaching and job guidance to totally 110 young persons with problems entering the labour market. The goal is to provide these people courage to find either full or part time employment or to start study.

Sweden?s District councils and Country councils are in itself to a large extent responsible for the state financed welfare. Because of this, Sweden has a contribution- and adjustment system. The reason for this system is to create equal chance, for all District councils and Country councils, to be able to give the citizens service independently of their income and non-influential structural differences. The adjustment is built upon the so-called standard cost method, which contains four different parts.

The purpose of this paper is to test a procedure that would be useful for a certain, more final purpose. Assume that you want to know if the differences in the result of a certain effort in health care have any connection with differences between the life situations of the patients. This would be easier to investigate if the life situations of the patients had connection to the easily available variable Health Care Cost (in Swedish VK). In that case the searching for connections between VK of patient groups and the result of health care efforts would be sufficient to gain knowledge of possible connection between health care efforts and life situations. Thus that is the final purpose.

The essay initially intends to find adequate models to describe and forecast monthly data for the Swedish Consumer Price Index sub group Clothes and Shoes 1986-2005. The time series observations during 2006 are considered ?out of sample period? which is used to evaluate the forecasts. The purpose is to perform time series decomposition and to investigate and analyzethe seasonal pattern. The Box-Jenkins approach is used to find adequate ARIMA models.

This paper describes a factor analysis applied at the data of the European Union structural indicators. These are the official indicators for wealth and economic development in the European Union with main use to evaluate the outcomes of the year 2000 Lisbon goals for making the European Union the world?s strongest economy by 2010. The purpose of the data is to serve for comparing and ?learning by doing?-policies, but have, due to size and format, so far been hard to use for a good compare between member countries.

In many biomedical contexts, e. g. when evaluating hearing disorders, the data obtained can be described as pairs (x1, y1), ?, (xn, yn) where x is a quantitative variable and y a 0/1 variable whose probability of taking the value 1 is a monotonic function of x. One way of analysing such data is to perform probit regression; thereby two parameters, b0 (= the constant) and b1 (= the slope) are estimated; the interest centres around m = -b0/b1, i.