On the Sample Information About Parameter and Prediction

The Bayesian measure of sample information about the parameter, known as Lindley's measure, is widely used in various problems such as developing prior distributions, models for the likelihood functions and optimal designs. The predictive information is defined similarly and used for model selection and optimal designs, though to a lesser extent. The parameter and predictive information measures are proper utility functions and have been also used in combination. Yet the relationship between the two measures and the effects of conditional dependence between the observable quantities on the Bayesian information measures remain unexplored. We address both issues. The relationship between the two information measures is explored through the information provided by the sample about the parameter and prediction jointly. The role of dependence is explored along with the interplay between the information measures, prior and sampling design. For the conditionally independent sequence of observable quantities, decompositions of the joint information characterize Lindley's measure as the sample information about the parameter and prediction jointly and the predictive information as part of it. For the conditionally dependent case, the joint information about parameter and prediction exceeds Lindley's measure by an amount due to the dependence. More specific results are shown for the normal linear models and a broad subfamily of the exponential family. Conditionally independent samples provide relatively little information for prediction, and the gap between the parameter and predictive information measures grows rapidly with the sample size.Comment: Published in at http://dx.doi.org/10.1214/10-STS329 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org

Effect of zinc in tablet and suspension formulations in the treatment of acute diarrhoea among young children in an emergency setting of earthquake affected region of Pakistan

A longitudinal cohort study was conducted at Camp Hospital Batagram in August 2006 to ascertain the effect of Zinc utilization in tablet and suspension formulations on the frequency and recovery rates of diarrhoea among young children in the emergency settings of earthquake affected region of Pakistan. Two hundred patients were recruited and followed up, the patients were allocated either of the 2 groups i.e. A (zinc in tablets form) and B (zinc in suspension form). Both groups also received WHO recommended treatment for diarrhoea. Most of the cases recovered from the illness within 3 days after presentation. Significant p-values were established among Zinc use and reduction in frequency of stools on Day 2 and 3, with better outcome in group B. The study supports the notion that zinc reduces the frequency and improves recovery rates of diarrhoea in any form and has better compliance and outcomes with the use in suspension form

Clinical spectrum and outcomes of neonatal candidiasis in a tertiary care hospital in Karachi, Pakistan

Introduction: Candidal infections are a serious problem in neonatal intensive care units, increasing morbidity and mortality in low birth weight infants in addition to escalating health-care costs. Studies exploring the epidemiology of candidiasis in developing country hospitals are rare. This retrospective case-control study aimed to evaluate epidemiology and risk factors associated with candidiasis in a neonatal intensive care unit in Karachi, Pakistan. Methodology: Cases (neonates (age \u3c 28days, (n = 45) with NICU discharge diagnosis of candidal sepsis or candidemia between January 1996 and December 2006 were matched with controls (newborns with discharge diagnoses other than the above during the same study period) for gender, gestational age, and admission within 72 hours of admission of an index case. Risk factors were identified and clinical course and outcomes (discharge disposition) described. P-value and match-adjusted odds ratios were calculated. Results: A frequency of 0.9% candidemia was documented in the NICU. The incidence was highest (46%) in VLBW (\u3c 1500gm). C. albicans was the leading causative organism (55%), and neonatal risk factors identified were mechanical ventilation (\u3e 7 days), positive bacterial culture, and duration of hospitalization of \u3e 7 days. Conclusions: Prolonged ventilation, positive bacterial blood culture, and prolonged duration of NICU stay were the major risk factors associated with newborn fungal sepsis in our center. Presence of antenatal care was a significant protective factor in our subset of neonatal population

Suicidal Thoughts and Planning for Suicide among the 2007-2013 Entrance Medical Students of Rafsanjan University of Medical Sciences

Background: Suicide is an intentional self-harm behavior leading to death that is more common in young people aged 15-24 years. The aim of this study was to evaluate the frequency of suicidal thoughts and planning for suicide among medical students of Rafsanjan University of Medical Sciences. Methods: In this cross-sectional study, all 300 Entrance 2007-2013 medical students of Rafsanjan University of Medical Sciences were included by census sampling. Among them, only 265 students (88%) agreed to participate in this study. Data were collected by using Beck standard suicide questionnaire. Data analysis was performed by using descriptive and analytical statistics like Chi-square and Fisher's exact tests. Results: The participants included 126 male and 139 female medical students. Among them, 75.84% had no suicidal thoughts, 18.11% had suicidal thoughts, 4.15% were susceptible for committing suicide and 1.88% had a plan for suicide attempt. There was a significant relationship between suicidal thoughts and gender (P=0.017), living area (P=0.026), history of chronic disease (P=0.042), history of mental disorder (P=0.002), and smoking (P=0.049). Conclusion: The results show that the risk of suicide is high in medical students. Therefore, preventive strategies should be performed for preventing suicidal thoughts and committing suicid

Recurrence Quantification Analysis and Principal Components in the Detection of Short Complex Signals

Recurrence plots were introduced to help aid the detection of signals in complicated data series. This effort was furthered by the quantification of recurrence plot elements. We now demonstrate the utility of combining recurrence quantification analysis with principal components analysis to allow for a probabilistic evaluation for the presence of deterministic signals in relatively short data lengths.Comment: 10 pages, 3 figures; Elsevier preprint, elsart style; programs used for analysis available for download at http://homepages.luc.edu/~cwebbe

Use of miltefosine in the treatment of visceral leishmaniasis in children at a tertiary care hospital of Karachi

Existing standard treatment options for visceral leishmaniasis are less than optimal. We report here the use of oral miltefosine in the treatment of two paediatric cases of visceral leishmaniasis at a tertiary care hospital in Karachi, Pakistan. One patient came from Balochistan while the second patient was from Northern Pakistan. Both presented with a prolonged history of fever, massive hepatosplenomegaly, anaemia and thrombocytopenia. Visceral leishmaniasis was diagnosed with bone marrow studies. Amphotericin B was first started in the first patient; however severe hypokalaemia and allergic reaction occurred. Oral miltefosine was then administered. The child showed clinical improvement with regards to signs of leishmania infection but succumbed to a nosocomial infection during the hospital stay. In the second patient, miltefosine was started in the first instance. He showed remarkable clinical improvement. At 2 months follow-up, the child showed adequate weight gain along with successful resolution of hepatosplenomegaly and fever. Miltefosine has the potential to be considered a first line therapy for visceral leishmaniasis in developing countries; however larger studies are warranted to validate the trends observed in this small case series

Transcriptomic profiling of tumor-infiltrating CD4 + TIM-3 + T Cells reveals their suppressive, exhausted, and metastatic characteristics in colorectal cancer patients

T cell immunoglobulin mucin-3 (TIM-3) is an immune checkpoint identified as one of the key players in regulating T-cell responses. Studies have shown that TIM-3 is upregulated in the tumor microenvironment (TME). However, the precise role of TIM-3 in colorectal cancer (CRC) TME is yet to be elucidated. We performed phenotypic and molecular characterization of TIM-3+ T cells in the TME and circulation of CRC patients by analyzing tumor tissues (TT, TILs), normal tissues (NT, NILs), and peripheral blood mononuclear cells (PBMC). TIM-3 was upregulated on both CD4+ and CD3+CD4− (CD8+) TILs. CD4+TIM-3+ TILs expressed higher levels of T regulatory cell (Tregs)-signature genes, including FoxP3 and Helios, compared with their TIM-3− counterparts. Transcriptomic and ingenuity pathway analyses showed that TIM-3 potentially activates inflammatory and tumor metastatic pathways. Moreover, NF-κB-mediated transcription factors were upregulated in CD4+TIM-3+ TILs, which could favor proliferation/invasion and induce inflammatory and T-cell exhaustion pathways. In addition, we found that CD4+TIM-3+ TILs potentially support tumor invasion and metastasis, compared with conventional CD4+CD25+ Tregs in the CRC TME. However, functional studies are warranted to support these findings. In conclusion, this study discloses some of the functional pathways of TIM-3+ TILs, which could improve their targeting in more specific therapeutic approaches in CRC patients

Network information and connected correlations

Entropy and information provide natural measures of correlation among elements in a network. We construct here the information theoretic analog of connected correlation functions: irreducible $N$--point correlation is measured by a decrease in entropy for the joint distribution of $N$ variables relative to the maximum entropy allowed by all the observed $N-1$ variable distributions. We calculate the ``connected information'' terms for several examples, and show that it also enables the decomposition of the information that is carried by a population of elements about an outside source.Comment: 4 pages, 3 figure