scholarly journals Comparison of methods of submission of suspected adverse drug reactions to the ADR monitoring centers in India

2017 ◽  
Vol 6 (8) ◽  
pp. 2032
Author(s):  
Sachin Kumar Kuchya ◽  
Sarita Shrivastav
Keyword(s):  
Comparison Of Methods ◽  
Drug Reactions ◽  
Monitoring Centre ◽  
Adr Reporting ◽  
Sample Test ◽  
Kolmogorov Smirnov ◽  
The Difference ◽  
Independent Assessment ◽  
Suspected Adverse Drug Reactions ◽  
Smirnov Test

Background: Traditionally, paper based suspected ADR forms were the only way of submitting suspected ADR (sADR) data. Recently the mobile android based ADR reporting app© (App©) has also been developed and a copyright was granted to the author. This study is done to assess the two, viz. paper based and App based, methods of submission of sADR data.Methods: The sADR data submitted to the ADR Monitoring Centre (AMC), at Department of Pharmacology, NSCB MC Jabalpur. There is no such scale to assess the completeness of suspected ADR data received by individual AMCs. Therefore, appropriate algorithm and scale for Completeness scoring of filled sADR forms was designed, the basic tenets were adhered. A set of 10 sADR forms, submitted by either method, were subjected to Independent assessment by 3 assessors, who were not part of this study. The scores were then subjected to analysis, which revealed minimal variation across the assessment. Hence, the scale was adopted for the study.Results: A total of 403 sADR’s submitted to our AMC, were screened and subjected to scoring for completeness. Upon screening, 96.2% (257/267) sADR submitted via paper based sADR form and 100% (136/136) of those submitted via App stood valid, and hence included in the study. All the suspected ADR (sADR) submitted via ADR Reporting app were, complete. The sADR data submitted via ADR reporting app, had an average completeness score of 34.7±2.4 while those submitted via paper based form had an average of 29.2±2.4. The difference is highly significant on Wilcoxon two sample test (p<0.001) and Kolmogorov-Smirnov test (p<0.001).Conclusions: Compared to traditional paper based system, the ADR reporting app based sADR submission, is a better method.

scholarly journals Indicadores de desempenho registrados em função do tempo no basquetebol brasileiro

2018 ◽  
Vol 20 (2) ◽  
pp. 172-181
Author(s):  
Yura Yuka Sato dos Santos ◽  
Lucas Antônio Monezi ◽  
Milton Shoiti Misuta ◽  
Luciano Allegretti Mercadante
Keyword(s):  
Performance Analysis ◽  
Normal Distribution ◽  
Professional Basketball ◽  
Technical Indicators ◽  
Point Field ◽  
Emerging Issues ◽  
Kolmogorov Smirnov ◽  
The Difference ◽  
The Moment ◽  
Smirnov Test

Basketball performance analysis using technical indicators dissociated from the moment they occurred in the game seems to no longer respond to emerging issues of the game as it does not identify the periods when a team’s offensive efficiency has increased or decreased. The aim was to characterize and compare the technical indicators in the positive and negative periods and in the whole game of winning and losing teams in men’s professional basketball. Fourteen games of professional men’s teams of the “Novo Basquete Brasil” Championship in the regular 2011/2012 season were filmed and analyzed. The Kolmogorov-Smirnov test was used to verify data normality. The independent T test was used for variables with normal distribution and the Mann-Whitney test for variables that did not present normal distribution, in order to compare teams’ performance. Analysis in the whole game showed that winning teams had significantly higher averages in successful 3-point field goals but in the positive periods, they showed higher averages for successful free throws, successful layups, defensive rebounds and defensive fouls, and in negative periods, losing teams made more defensive and offensive fouls. The teams’ performance in the whole game may not elucidate the determinant indicators for building the difference in the scoreboard. It is suggested that coaches should identify the periods of best and worst teams’ performance in the game and the indicators involved, preparing teams to overcome the negative periods and obtain more positive periods in the game. 

scholarly journals Dynamical Age Determination of Open Clusters

1980 ◽  
Vol 85 ◽  
pp. 221-222
Author(s):  
M. Buchholz ◽  
Th. Schmidt-Kaler
Keyword(s):  
Age Determination ◽  
Dynamical Theory ◽  
Distribution Functions ◽  
Open Clusters ◽  
Kolmogorov Smirnov ◽  
The Difference ◽  
Absolute Age ◽  
Image Position ◽  
Smirnov Test

The radial mass distribution (obtained by counting stars in strips) of the real cluster is compared successively to the distribution functions of a simulated cluster of 100 stars, each of which corresponds to a certain dynamical age, Tdyn, The value of Tdyn, belonging to the function most similar to the observed one is taken to be the dynamical age of the cluster. The radius is given in units of R1/2 (sphere containing half of the total mass); this unit is nearly time-independent. The difference between the distribution functions is measured by the maximum Δmax of the Kolmogorov-Smirnov test which is free from assumptions on the form of the distributions. The minimum in the plot Δmax vs Tdyn, indicates the age of the cluster. It is then converted into an absolute age, Tabs (in years), by The error due to the dynamical theory (limited number of distribution functions, etc.) is estimated at 12%, the error due to the uncertainty of diameter and mass of the cluster is about 30%. Unreliable results were obtained in case of strongly inhomogeneous reddening of the cluster. As an example, the plot of the test values for NGC 457 is given in Figure 1.

scholarly journals A study on determinants of underreporting of adverse drug reactions among resident doctors

2018 ◽  
Vol 6 (2) ◽  
pp. 623 ◽  
Author(s):  
Rohini Gupta ◽  
Apoorva Malhotra ◽  
Pavan Malhotra
Keyword(s):  
Adverse Drug Reactions ◽  
Health Care Providers ◽  
Critical Role ◽  
Care Providers ◽  
Drug Reactions ◽  
Cross Sectional ◽  
National Programme ◽  
Adr Reporting ◽  
Self Administered Questionnaire ◽  
Suspected Adverse Drug Reactions

Background: Adverse Drug Reactions (ADRs) are global problem with significant morbidity and mortality. Health care providers/professionals (HCPs) play a critical role in ADR surveillance. However, only 6% of all ADRs are reported and under-reporting acts as great impedance in exchange of drug information. Thus, spontaneous reporting of suspected adverse drug reactions requires greater commitment from healthcare professionals. The aim was to determine the reasons of underreporting of ADRs among resident doctors.Methods: This was a cross-sectional observational study with self-administered questionnaire assessing the reasons for underreporting of ADRs among resident doctors.Results: Very low level of awareness about ADR reporting was found among doctors. Eighty eight percent of doctors did not know the authority and the procedure for ADR reporting. About 32.8% were not sure with the reaction and the drug, while 46.3% doctors felt that there is no need of reporting the recognized reactions again. Other factors responsible for under reporting were lack of time in 73% and cumbersome procedure in 45% of the participants.Conclusions: A poor level of awareness of pharmacovigilance was seen among doctors. Measure to improve awareness, accessible systems for reporting and effective National Programme are required to improve reporting

Testing for Collinearity using Bayesian Analysis

2021 ◽  
pp. 109634802199084
Author(s):  
A. George Assaf ◽  
Mike Tsionas
Keyword(s):  
Bayesian Analysis ◽  
Bayesian Approach ◽  
Attractive Alternative ◽  
Variance Inflation Factor ◽  
Regression Parameters ◽  
Kolmogorov Smirnov ◽  
Inflation Factor ◽  
The Difference ◽  
The Bayesian Approach ◽  
Smirnov Test

Testing for collinearity continues to be a controversial issue in the literature. Multicollinearity detection criteria, such as the variance inflation factor, often fail to detect the true extent of multicollinearity. In this article, we propose utilizing the Bayesian approach as an attractive alternative. Under the Bayesian approach, we recommend comparing the marginal posterior of regression parameters under two different priors. If the difference in the posterior under these two priors is pronounced, one can surmise that collinearity is harmful. The Kolmogorov–Smirnov test can also be used as further evidence to confirm whether the posterior difference is significant.

Uji Komparasi Abnormal Return, Trading Volume, Dan Trading Frequency Sebelum Dan Sesudah Peristiwa Share Split Pada Perusahaan Yang Terdaftar Di Bursa Efek Indonesia Periode 2010 – 2013

2014 ◽  
Vol 6 (2) ◽  
pp. 1-17
Author(s):  
Jordan Vincent ◽  
Ratnawati Kurnia
Keyword(s):  
Abnormal Return ◽  
Trading Volume ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Trading Frequency ◽  
Analysis Technique ◽  
Before And After ◽  
Kolmogorov Smirnov ◽  
The Difference ◽  
Smirnov Test

This study is event study that was conducted to determine differences in abnormal returns, trading volume, and trading frequency before and after the events of the share split. The object of this research is the companies that did the share split and listed in Indonesia Stock Exchange in 2010 - 2013.  Samples were taken by using purposive sampling as many as 24 companies. The criteria is the company did not do corporate action right issue, pre-emptive rights, a share dividend and bonus shares in the same year with share split, then the company share actively traded 15 days before and after the share split. Data analysis technique begins with a test of normality using Kolmogorov - Smirnov test, then test the hypothesis using a paired t test to compare the differences before and after share split. In testing the hypothesis showed that the difference was only found on variable trading frequency before and after share split. While the other variables are abnormal return and trading volume was not found significant differences before and after the share split. Keywords: Share split, abnormal returns, trading volume, trading frequency

scholarly journals A sketch for the KS test for Big Data

2021 ◽  
Author(s):  
Thalis D. Galeno ◽  
João Gama ◽  
Douglas O. Cardoso
Keyword(s):  
Big Data ◽  
Goodness Of Fit ◽  
Absolute Error ◽  
Test Statistic ◽  
Input Stream ◽  
Reference Distribution ◽  
Sample Test ◽  
Kolmogorov Smirnov ◽  
The One ◽  
Smirnov Test

Motivated by the challenges of Big Data, this paper presents an approximative algorithm to assess the Kolmogorov-Smirnov test. This goodness of fit statistical test is extensively used because it is non-parametric. This work focuses on the one-sample test, which considers the hypothesis that a given univariate sample follows some reference distribution. The method allows to evaluate the departure from such a distribution of a input stream, being space and time efficient. We show the accuracy of our algorithm by making several experiments in different scenarios: varying reference distribution and its parameters, sample size, and available memory. The performance of rival methods, some of which are considered the state-of-the-art, were compared. It is demonstrated that our algorithm is superior in most of the cases, considering the absolute error of the test statistic.

scholarly journals The effectiveness of propolis on the healing period of recurrent aphthous stomatitis

2012 ◽  
Vol 24 (3) ◽  
Author(s):  
Foo You Han ◽  
Riani Setiadhi ◽  
Indrati Sudjarwo
Keyword(s):  
Experimental Study ◽  
Recurrent Aphthous Stomatitis ◽  
T Test ◽  
Aphthous Stomatitis ◽  
Healing Period ◽  
Equality Of Means ◽  
Kolmogorov Smirnov ◽  
The Subject ◽  
The Difference ◽  
Smirnov Test

Introduction: Propolis®, also known as bee glue, is a substance acquired from the bee hive, which contain antimicrobial, antiviral and antifungal properties. The aim of this research was to identify the best concentration of propolis® that is effective for healing period of Recurrent Aphthous Stomatitis (RAS). Methods: This research was experimental study and the sample are patients who have Recurrent Aphthous Stomatitis during the extent of the research at Rumah Sakit Gigi dan Mulut, Bandung, Indonesia. the patients were given Propolis® of either 0.5% or 1.0% concentration randomly. Results: Using the Kolmogorov-Smirnov test, the data is tested for normality of patients whom are applying Propolis® cream at concentration of 0.5% and 1%. The average time taken for the subject with 0.5% Propolis® cream to fully heal were 5 days, while those with 1.0% Propolis® cream required 6 days. From the t-test for equality of means, where 0.140 > 0.05, we can conclude that the difference is not significant between subjects that were given Propolis® cream at 0.5% concentration compared with subject given with 1.0% concentration of Propolis® cream.The result shows that Propolis at 0.5% concentration provides an average healing period of 5 days while propolis at 1.0% on an average of 6 days for the healing of RAS. Conclusion: Propolis at 0.5% is more effective compared to 1.0% for healing period of Recurrent Aphthous Stomatitis.

scholarly journals Environmental dependence of X-ray and optical properties of galaxy clusters

2020 ◽  
Vol 500 (2) ◽  
pp. 1953-1963
Author(s):  
M Manolopoulou ◽  
B Hoyle ◽  
R G Mann ◽  
M Sahlén ◽  
S Nadathur
Keyword(s):  
Galaxy Clusters ◽  
Large Scale ◽  
Cosmological Parameters ◽  
X Ray ◽  
Temperature Distributions ◽  
Sample Test ◽  
Kolmogorov Smirnov ◽  
Surrounding Space ◽  
The Difference ◽  
Galaxy Populations

ABSTRACT Galaxy clusters are widely used to constrain cosmological parameters through their properties, such as masses, luminosity, and temperature distributions. One should take into account all kind of biases that could affect these analyses in order to obtain reliable constraints. In this work, we study the difference in the properties of clusters residing in different large-scale environments, defined by their position within or outside of voids, and the density of their surrounding space. We use both observational and simulation cluster and void catalogues, i.e. XMM Cluster Survey (XCS) and redMaPPer clusters, Baryon Oscillation Spectroscopic Survey (BOSS) voids, and Magneticum simulations. We devise two different environmental proxies for the clusters and study their redshift, richness, mass, X-ray luminosity, and temperature distributions, as well as some properties of their galaxy populations. We use the Kolmogorov–Smirnov two-sample test to discover that richer and more massive clusters are more prevalent in overdense regions and outside of voids. We also find that clusters of matched richness and mass in overdense regions and outside voids tend to have higher X-ray luminosities and temperatures. These differences could have important implications for precision cosmology with clusters of galaxies, since cluster mass calibrations can vary with environment.

scholarly journals PILATES EXERCISE DAPAT MENURUNKAN INDEKS MASSA TUBUH (IMT) PEREMPUAN OBESITAS TINGKAT 1 DI PERUMAHAN BUMI DIRGANTARA PERMAI BEKASI

2017 ◽  
Vol 4 (2) ◽  
pp. 111-122
Author(s):  
Dwi Agustina ◽  
Nikky Novannisa
Keyword(s):  
P Value ◽  
Degenerative Diseases ◽  
Test Results ◽  
Before And After ◽  
Prevalence Of Obesity ◽  
Kolmogorov Smirnov ◽  
The Mean ◽  
Level 1 ◽  
The Difference ◽  
Smirnov Test

The prevalence of obesity is tend to increase both in the world and in Indonesia, and a higher prevalence in women. Obesity is a risk factor of various degenerative diseases such as coronary heart disease and stroke, musculoskeletal disorders, especially osteoarthritis, diabetes mellitus and cancer. One exercise that is appropriate for treating obesity is Pilates exercise which is a muscle contraction exercises that are low impact. The aim of this study was to determine the effect of Pilates Exercise on obese level 1 women's body mass index. The type of research was experimental with pre-experimental research design. The experiment was conducted in late April-May 2016 in Bumi Dirgantara Permai. The number of sample was 15 obese level 1women. Pilates exercises was given for one hour three times a week for 5 weeks. Analysis of the data include univariate and bivariate with the Kolmogorov-Smirnov test for checking normality data and Paired t-test for testing IMT different before and after intervention. Results: The mean BMI before intervention was 25.74 kg / m2 and after the intervention of 26.44 kg / m2. The reduction in BMI of 0.7 kg / m2, with test results p value of 0.0001 indicated the difference in IMT before and after the intervention were significant. Conclusion:To maintain the IMT and improve posture, Pilates Exercise should be done regularly.

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