Age and total and free prostate-specific antigen levels for predicting prostate volume in patients with benign prostatic hyperplasia

Objectives: To investigate the predictive values of free prostate-specific antigen (fPSA), total PSA (tPSA) and age on the prostate volume.

Methods: The data of 2148 patients with lower urinary tract symptoms were analyzed retrospectively. The patients who had transrectal ultrasonography guided 10 core biopsies owing to the findings obtained on digital rectal examination and presence of high PSA levels (PSA?=?2.5–10?ng/dl), and proven to have BPH histopathologically were included in the study. Age, tPSA, fPSA and the prostate volumes (PV) of the patients were noted.

Results: One thousand patients that fulfilled the inclusion criteria were included in the study. The PV of the patients were significantly correlated with age, tPSA and fPSA (p?r?=?0.307, p?r?=?0.382, p?r?=?0.296, respectively). On linear regression model, fPSA was found as a stronger predictive for PV (AUC?=?0.75, p?p?p?=?0.013).

Conclusions: Although tPSA is an important prognostic factor for predicting PV, the predictive value of fPSA is higher. PV can easily be predicted by using age, and serum tPSA and fPSA levels.     

Schooling and Factors Affecting Decisions on Schooling by Household Members in the Rural Areas of Turkey

Despite the fact that rural education has always been one of the most important means of rural development, it has been ignored in many developing countries, with the result that rural development has not achieved great success. The problems of education in rural areas are not only related to the amount the country spends on education or to the system of education. The socio-economic condition of the individuals living in these areas and the form of rural education also play an important part. The present study deals with the socio-economic factors that influence the education level which is achieved. The assessments in the study are based on data gathered in a survey of 386 households carried out in the Aegean Region of Turkey. The work consists of three parts: the state of education in rural areas; the factors adversely affecting an individual’s decision to continue at school; and the employment situation of individuals who did not continue their education. In the results section, some suggestions have been made regarding the provision of employment opportunities to individuals who have not completed their education and who have had no job training.     

Effect of childlessness on nursing home and home health care use

This study examines the likelihood of nursing home and home health care use for childless older Americans. Four research questions are addressed: (1) Are the childless elderly at a greater risk of nursing home and home health care use? (2) Is it childlessness per se or not having children with particular characteristics that affects the likelihood of using these formal long-term care services? (3) Does having additional children beyond the first one have a significant effect on the use of these services? (4) Are the effects of childlessness different on the likelihood of nursing home and home health care use? Longitudinal data from the first (1993) and second (1995) waves of the Asset and Health Dynamics Among the Oldest Old Survey (AHEAD) and multinomial logistic regression models are used for the analyses. Separate models are developed for women and men, each controlling for a variety of demographic, socioeconomic, and health-related characteristics of sample persons. Findings indicate childlessness as an important risk factor, especially for older women's use of nursing home services. Implications of findings for planning for long-term care needs of the baby boom generation are discussed.     

Long live Fenerbahçe: The production boosting effects of football

The connection between Turkish industrial production performance and the success of a popular Turkish football team, namely Fenerbahçe, is the central theme of this article. The success of Fenerbahçe is interpreted as a proxy for the workers’ mood or morale. Performing a transfer function analysis on our monthly data set, we reveal positive feedback from Fenerbahçe’s success, which proxies workers’ mood/morale, to economic performance such that the monthly industrial growth rate increases by 0.26% with the number of games won by Fenerbahçe in European cups regardless of where the game is played. Evidence of the effects of games against domestic rivals on industrial performance is not statistically significant.     

A Genetic Algorithm Based Modification on the LTS Algorithm for Large Data Sets

The authors introduce an algorithm for estimating the least trimmed squares (LTS) parameters in large data sets. The algorithm performs a genetic algorithm search to form a basic subset that is unlikely to contain outliers. Rousseeuw and van Driessen (2006 Rousseeuw , P. J. , van Driessen , K. ( 2006 ). Computing LTS regression for large data sets . Data Mining and Knowledge Discovery 12 : 29 – 45 .[Crossref], [Web of Science ®] , [Google Scholar]) suggested drawing independent basic subsets and iterating C-steps many times to minimize LTS criterion. The authors 'algorithm constructs a genetic algorithm to form a basic subset and iterates C-steps to calculate the cost value of the LTS criterion. Genetic algorithms are successful methods for optimizing nonlinear objective functions but they are slower in many cases. The genetic algorithm configuration in the algorithm can be kept simple because a small number of observations are searched from the data. An R package is prepared to perform Monte Carlo simulations on the algorithm. Simulation results show that the performance of the algorithm is suitable for even large data sets because a small number of trials is always performed.     

Dummy Endogenous Variables in Weakly Separable Models

In this paper, we consider the nonparametric identification and estimation of the average effect of a dummy endogenous regressor in models where the regressors are weakly but not additively separable from the error term. The model is not required to be strictly increasing in the error term, and the class of models considered includes limited dependent variable models such as discrete choice models. Conditions are established conditions under which it is possible to identify the average effect of the dummy endogenous regressor in a weakly separable model without relying on parametric functional form or distributional assumptions and without the use of large support conditions.     

Computing the Point-biserial Correlation under Any Underlying Continuous Distribution

The connection between the point-biserial and biserial correlations is well-established when the underlying distribution is bivariate normal. For many other bivariate distributions, the formula that links these two quantities is not straightforward to derive or does not have a closed form. We propose a simple technique that enables researchers to compute one of these correlations when the other is specified. For this, we take advantage of the constancy of their ratio, which can be easily approximated for any distribution. We illustrate the proposed method using several examples and discuss its extension to the ordinal case. We believe that this approach is potentially useful in stochastic simulation..     

A Perception Survey for the Evaluation of Urban Quality of Life in Kocaeli and a Comparison of the Life Satisfaction with the European Cities

Studies on urban quality of life (QoL) have been attracting lots of attention from various countries due to the deterioration of urban environment and decrease of the urban QoL. These studies that have been supported by international organizations such as United Nations, World Bank, OECD, European Commission and EUROSTAT (European Statistics) involve comparative assessment of life satisfaction in the European cities and comparing cities facilitate the exchange of experiment and improve the quality of local policies. The main objective of this study is to measure the local perceptions of QoL in Kocaeli, which is one of the important industrial cities of Turkey and compare the life satisfaction with the European cities. Generally, two different types of indicators have been used: objective and subjective indicators. The objective indicators cover five fields: socio-economic aspects, participation in civic life, education and training, environment and culture, and leisure. The subjective indicators are mainly for valuation of QoL perceptions in a city. In this research, a perception survey will be carried out to measure the local perceptions of QoL in Kocaeli. This survey will present on issues for which the residents in the Kocaeli had widely diverging opinions: employment opportunities, housing costs, safety, cleanliness of city, public transport, air quality and overall satisfaction with the QoL of their city. Thus, the study will become a major reference for local officials to improve QoL in Kocaeli and contribute to researches on QoL in cities.     

Subject‐level matching for imbalance in cluster randomized trials with a small number of clusters

In a cluster randomized controlled trial (RCT), the number of randomized units is typically considerably smaller than in trials where the unit of randomization is the patient. If the number of randomized clusters is small, there is a reasonable chance of baseline imbalance between the experimental and control groups. This imbalance threatens the validity of inferences regarding post‐treatment intervention effects unless an appropriate statistical adjustment is used. Here, we consider application of the propensity score adjustment for cluster RCTs. For the purpose of illustration, we apply the propensity adjustment to a cluster RCT that evaluated an intervention to reduce suicidal ideation and depression. This approach to adjusting imbalance had considerable bearing on the interpretation of results. A simulation study demonstrates that the propensity adjustment reduced well over 90% of the bias seen in unadjusted models for the specifications examined. Copyright © 2013 John Wiley & Sons, Ltd.