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Guillain-Barré syndrome (GBS), an acute inflammatory demyelinating polyneuropathy is the most common generalized paralytic disorder. The objective was to study the outcome of disability grade in two groups of GBS treated with plasmapheresis alone and treated with IVIg alone. A retrospective analysis of all consecutive patients with GBS, admitted in our intensive care unit during the period of 3 years, 2009-2012 were included in the study. All patients of GBS who were to be treated with plasmapheresis or IVIg, the modality of management were always decided at their preference and consent after explaining the modalities to patient/family. The plasma exchange done was $200-250 mL of plasma per kilogram weight in five sessions (40-50 mL/kg per session) within 7-14 days. The replacement fluid contained 100 mL of 20% albumin diluted in 1000 mL of normal saline and 1000 mL of fresh frozen plasma. IVIg was administered as 0.4 g/kg body weight daily for 5 days. Our observations brought out the following, both the plasmapheresis and IVIg treatments were effective in reducing the disability grade amongst all time points, i.e., at presentation, immediate post-therapy and after 4 weeks. There was a marginal superiority in plasmapheresis over IVIg effect. However, whether the delay in presentation as noted in our study probably would have contributed to this effect was conjectural.

The classification scenario needs handling of more than one biomarker. The main objective of the work is to propose a multivariate receiver operating characteristic (MROC) model which linearly combines the markers to classify them into one of the two groups and also to determine an optimal cut point. Simulation studies are conducted for four sets of mean vectors and covariance matrices and a real dataset is also used to demonstrate the proposed model. Linear and quadratic discriminant analysis has also been applied to the above datasets in order to explain the ease of the proposed model. Bootstrapped estimates of the parameters of the ROC curve are also estimated.

In this paper, a new five-parameter distribution is proposed using the functionalities of the Kumaraswamy generalized family of distributions and the features of the power Lomax distribution. It is named as Kumaraswamy generalized power Lomax distribution. In a first approach, we derive its main probability and reliability functions, with a visualization of its modeling behavior by considering different parameter combinations. As prime quality, the corresponding hazard rate function is very flexible; it possesses decreasing, increasing and inverted (upside-down) bathtub shapes. Also, decreasing-increasing-decreasing shapes are nicely observed. Some important characteristics of the Kumaraswamy generalized power Lomax distribution are derived, including moments, entropy measures and order statistics. The second approach is statistical. The maximum likelihood estimates of the parameters are described and a brief simulation study shows their effectiveness. Two real data sets are taken to show how the proposed distribution can be applied concretely; parameter estimates are obtained and fitting comparisons are performed with other well-established Lomax based distributions. The Kumaraswamy generalized power Lomax distribution turns out to be best by capturing fine details in the structure of the data considered.