The Impact of Hypothesis-Testing Strategies on Auditors' Use of Judgment Data

1984 ◽  
Vol 22 (1) ◽  
pp. 332 ◽  
Author(s):  
Thomas Kida
Keyword(s):  
Hypothesis Testing ◽  
Testing Strategies ◽  
The Impact ◽  
Judgment Data

scholarly journals Testing Strategies of the In Vitro Micronucleus Assay for the Genotoxicity Assessment of Nanomaterials in BEAS-2B Cells

Nanomaterials ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1929
Author(s):  
Tereza Cervena ◽  
Andrea Rossnerova ◽  
Tana Zavodna ◽  
Jitka Sikorova ◽  
Kristyna Vrbova ◽  
...  
Keyword(s):  
Cytochalasin B ◽  
Culture Media ◽  
Methodological Approach ◽  
Micronucleus Assay ◽  
Toxicity Testing ◽  
In Vitro Toxicity ◽  
Testing Strategies ◽  
Transmission Electron ◽  
The Impact

The evaluation of the frequency of micronuclei (MN) is a broadly utilised approach in in vitro toxicity testing. Nevertheless, the specific properties of nanomaterials (NMs) give rise to concerns regarding the optimal methodological variants of the MN assay. In bronchial epithelial cells (BEAS-2B), we tested the genotoxicity of five types of NMs (TiO2: NM101, NM103; SiO2: NM200; Ag: NM300K, NM302) using four variants of MN protocols, differing in the time of exposure and the application of cytochalasin-B combined with the simultaneous and delayed co-treatment with NMs. Using transmission electron microscopy, we evaluated the impact of cytochalasin-B on the transport of NMs into the cells. To assess the behaviour of NMs in a culture media for individual testing conditions, we used dynamic light scattering measurement. The presence of NMs in the cells, their intracellular aggregation and dispersion properties were comparable when tests with or without cytochalasin-B were performed. The genotoxic potential of various TiO2 and Ag particles differed (NM101 < NM103 and NM302 < NM300K, respectively). The application of cytochalasin-B tended to increase the percentage of aberrant cells. In conclusion, the comparison of the testing strategies revealed that the level of DNA damage induced by NMs is affected by the selected methodological approach. This fact should be considered in the interpretation of the results of genotoxicity tests.

scholarly journals To Swab or Not to Swab? The Lesson Learned in Italy in the Early Stage of the COVID-19 Pandemic

2021 ◽  
Vol 11 (9) ◽  
pp. 4042
Author(s):  
Paola Berchialla ◽  
Maria Teresa Giraudo ◽  
Carmen Fava ◽  
Andrea Ricotti ◽  
Giuseppe Saglio ◽  
...  
Keyword(s):  
Early Phase ◽  
Early Stage ◽  
Respiratory Illness ◽  
Explanatory Variables ◽  
Daily Number ◽  
Testing Strategies ◽  
Serious Infections ◽  
The Impact ◽  
Epidemiological Link ◽  
Severe Respiratory Illness

Testing for the SARS-CoV-2 infection is critical for tracking the spread of the virus and controlling the transmission dynamics. In the early phase of the pandemic in Italy, the decentralized healthcare system allowed regions to adopt different testing strategies. The objective of this paper is to assess the impact of the extensive testing of symptomatic individuals and their contacts on the number of hospitalizations against a more stringent testing strategy limited to suspected cases with severe respiratory illness and an epidemiological link to a COVID-19 case. A Poisson regression modelling approach was adopted. In the first model developed, the cumulative daily number of positive cases and a temporal trend were considered as explanatory variables. In the second, the cumulative daily number of swabs was further added. The explanatory variable, given by the number of swabs over time, explained most of the observed differences in the number of hospitalizations between the two strategies. The percentage of the expected error dropped from 70% of the first, simpler model to 15%. Increasing testing to detect and isolate infected individuals in the early phase of an outbreak improves the capability to reduce the spread of serious infections, lessening the burden of hospitals.

scholarly journals Harnessing testing strategies and public health measures to avert COVID-19 outbreaks during ocean cruises

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Gerardo Chowell ◽  
Sushma Dahal ◽  
Raquel Bono ◽  
Kenji Mizumoto
Keyword(s):  
Public Health ◽  
Cost Effective ◽  
Contact Network ◽  
Social Distancing ◽  
Individual Level ◽  
Health Measures ◽  
Testing Strategies ◽  
Novel Coronavirus ◽  
The Individual ◽  
The Impact

AbstractTo ensure the safe operation of schools, workplaces, nursing homes, and other businesses during COVID-19 pandemic there is an urgent need to develop cost-effective public health strategies. Here we focus on the cruise industry which was hit early by the COVID-19 pandemic, with more than 40 cruise ships reporting COVID-19 infections. We apply mathematical modeling to assess the impact of testing strategies together with social distancing protocols on the spread of the novel coronavirus during ocean cruises using an individual-level stochastic model of the transmission dynamics of COVID-19. We model the contact network, the potential importation of cases arising during shore excursions, the temporal course of infectivity at the individual level, the effects of social distancing strategies, different testing scenarios characterized by the test’s sensitivity profile, and testing frequency. Our findings indicate that PCR testing at embarkation and daily testing of all individuals aboard, together with increased social distancing and other public health measures, should allow for rapid detection and isolation of COVID-19 infections and dramatically reducing the probability of onboard COVID-19 community spread. In contrast, relying only on PCR testing at embarkation would not be sufficient to avert outbreaks, even when implementing substantial levels of social distancing measures.

scholarly journals Analysis of Green Marketing Tools towards Consumer Purchase Intention in Kathmandu

2018 ◽  
Vol 1 (1) ◽  
pp. 37
Author(s):  
Shulov Shrestha
Keyword(s):  
Hypothesis Testing ◽  
Purchase Intention ◽  
Green Marketing ◽  
Primary Data ◽  
Green Products ◽  
The People ◽  
Consumer Purchase Intention ◽  
Green Packaging ◽  
The Impact ◽  
Structured Questionnaire

<p>The main purpose of this study is to examine the impact of green marketing tools on product choice and how green initiatives influence purchase intention of consumers. The research also attempts to examine the relationship between age, income, education, and occupation with consumer purchase intention in association with green marketing tools. The study is descriptive in nature and focuses on hypothesis testing using structured questionnaire and interview. Structured questionnaire is used to collect primary data from a sample size of 120 respondents focusing on employed, self-employed, students and homemakers. These groups are assumed to represent green purchase in today’s society. However, opinions of marketing professionals have also been considered. The survey population represents the people who go for shopping; data have also been collected from the point of purchase. Green purchase intention was seen to be incremental considering the increase in the level of education of individuals. Green marketing tools i.e., environmental belief, green packaging, green branding, green advertisement, green labelling has been taken into account to observe its significance towards consumer purchase intention. Likert scale questions with five-scalerating were used to do the hypothesis testing. The questions included statements in conjunction with the measure of green marketing tool’s influence over consumer purchase intention. The research revealed that green marketing tools played a significant role in inducing a positive purchase intention towards green products. While there exists growing preference towards green products, price plays a major role in product purchase.</p><p>Journal of Business and Social Sciences Research, Vol. 1, Issue 1, pp. 37-57</p>

scholarly journals Model Averaging with AIC Weights for Hypothesis Testing of Hormesis at Low Doses

Dose-Response ◽  
2017 ◽  
Vol 15 (2) ◽  
pp. 155932581771531
Author(s):  
Steven B. Kim ◽  
Nathan Sanders
Keyword(s):  
Hypothesis Testing ◽  
Dose Response ◽  
Statistical Power ◽  
Parametric Model ◽  
Semiparametric Models ◽  
Parametric Models ◽  
Large Sample Size ◽  
Low Doses ◽  
P Values ◽  
The Impact

For many dose–response studies, large samples are not available. Particularly, when the outcome of interest is binary rather than continuous, a large sample size is required to provide evidence for hormesis at low doses. In a small or moderate sample, we can gain statistical power by the use of a parametric model. It is an efficient approach when it is correctly specified, but it can be misleading otherwise. This research is motivated by the fact that data points at high experimental doses have too much contribution in the hypothesis testing when a parametric model is misspecified. In dose–response analyses, to account for model uncertainty and to reduce the impact of model misspecification, averaging multiple models have been widely discussed in the literature. In this article, we propose to average semiparametric models when we test for hormesis at low doses. We show the different characteristics of averaging parametric models and averaging semiparametric models by simulation. We apply the proposed method to real data, and we show that P values from averaged semiparametric models are more credible than P values from averaged parametric methods. When the true dose–response relationship does not follow a parametric assumption, the proposed method can be an alternative robust approach.

Classification Skills and Feedback Sequence as Determinants of Hypothesis Testing and Problem Solving

1981 ◽  
Vol 4 (2) ◽  
pp. 223-236 ◽  
Author(s):  
Karen D. Fuchs ◽  
Ralph R. Turner
Keyword(s):  
Problem Solving ◽  
Hypothesis Testing ◽  
Third Graders ◽  
Concept Attainment ◽  
Testing Strategies ◽  
Theoretical Synthesis

The purpose of this study was to determine whether training classifiers and nonclassifiers (determined by Piagetian tasks) to use feedback to manipulate stimulus attributes would have an effect on concept attainment similar to that predicted by a recent theoretical synthesis of children's hypothesis testing literature. Forty second and third-graders were pretested to assess classification status; half of the subjects received training. The results suggested that feedback sequence is related to the probability that the problem will be solved and classification status is a determinant of hypothesis testing strategies.

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