BACKGROUND Mapping of patient-reported outcomes to the five-dimension EuroQol (EQ-5D) health index is increasingly being used for understanding the relationship of outcomes to health states and for predicting utilities that have application in economic evaluations. The 12-item Multiple Sclerosis Walking Scale (MSWS-12) is a patient-reported outcome that assesses the impact of walking impairment...

OBJECTIVE To map the 12-item Multiple Sclerosis Walking Scale (MSWS-12) onto the EuroQol 5-dimension (EQ-5D) health-utility index in multiple sclerosis (MS) patients participating in the North American Research Committee on Multiple Sclerosis (NARCOMS) registry. DESIGN Cross-sectional MSWS-12 to EQ-5D cross-walking analysis. SETTING NARCOMS registry spring 2010 biannual update and supplemen...

Spatial cross-validation and average-error statistics are examined with respect to their abilities to evaluate alternate spatial interpolation methods. A simple crossvalidation methodology is described, and the relative abilities of three, dimensioned error statistics—the root-mean-square error (RMSE), the mean absolute error (MAE), and the mean bias error (MBE)—to describe average interpolator...

Salah satu komoditas unggulan di Indonesia adalah budi daya udang dan beberapa pengusaha menjadikan ini sebagai komoditi ekspor seperti halnya kawasan Asia, Unit Eropa bahkan sampai Amerika. Berbagai jenis yang ada Indonesia, vaname salah satunya mempunyai nilai ekonomis cukup tinggi, selain itu juga putih windu banyak peminat pasarnya. Nama lain sering dikenal dengan nama putih. Beberapa keung...

BACKGROUND This study sought to statistically map the neck disability index (NDI) to the six-dimension health state short form (SF-6D) to estimate algorithms for use in economic analyses in patients with chronic neck pain (CNP). METHODS The relationships between NDI and SF-6D scores were estimated by using data from a cohort of patients with chronic neck pain (n = 272). By using ordinary leas...

BACKGROUND Generalized linear models (GLMs) have recently been introduced into cost data analysis. GLMs, transformations of the linear regression model, are characterized by a particular response distribution from one of the exponential family of distributions and monotonic link function which relates the response mean to a scale on which additive model effects operate. OBJECTIVES This study ...

In this study we develop the hybrid models for forecasting in agricultural production planning. Real data of Thailand’s orchid export and Thailand’s pork product are used to validate candidate models. Autoregressive Integrate Moving Average (ARIMA) is also selected as a benchmarking to compare other developed models. The main concept of building the models is to combine different forecasting te...

In this paper we implement a collaborative filtering algorithm on the MovieLens dataset to predict movie ratings for the users. The original matrix, which contains the movie ratings on a 1-5 scale for the users, has many missing entries. Rank-K factorization is used to construct the filtering algorithm and alternating least squares is then performed on the two lower rank matrices in order to fi...

The cost of developing the software from scratch can be saved by identifying and extracting the reusable components from already developed and existing software systems or legacy systems [6]. But the issue of how to identify reusable components from existing systems has remained relatively unexplored. We have used metric based approach for characterizing a software module. In this present work,...