Alternative sequential methods in statistical testing: A reply to Lakens (2021) and Erdfelder and Schnuerch (2021).

2021 ◽  
Vol 26 (4) ◽  
pp. 507-512
Author(s):  
Rolf Ulrich ◽  
Jeff Miller
Keyword(s):  
Statistical Testing ◽  
Sequential Methods

Hubungan Religiusitas dengan Citra Tubuh pada Wanita Dewasa Awal

2018 ◽  
Vol 1 (1) ◽  
pp. 9-28
Author(s):  
Dessy Sumanty ◽  
Deden Sudirman ◽  
Diah Puspasari
Keyword(s):  
Body Image ◽  
Correlation Coefficient ◽  
Research Design ◽  
Calculation Result ◽  
The Body ◽  
Statistical Testing ◽  
P Value ◽  
Significance Level ◽  
Correlational Research

This research attempts to relate the body image phenomenon with the level of subject religiosity. This research used correlational research design that was involving 332 respondents. The statistical testing which is used to test the hypothesis Rank Spearman. The calculation result with the significance level of trust 95% (a = 0.05) show that the correlation coefficient is 0.083 and p-value is 0.129. It means that Ho is accepted and H1 is rejected. It can be concluded that there is no relationship between religiosity with body image.

A Review on Machine-Learning Based Code Smell Detection Techniquesin Object-Oriented Software System(s)

2020 ◽  
Vol 13 ◽  
Author(s):  
Amandeep Kaur ◽  
Sushma Jain ◽  
Shivani Goel ◽  
Gaurav Dhiman
Keyword(s):  
Machine Learning ◽  
Programming Languages ◽  
Software Quality ◽  
Empirical Studies ◽  
Statistical Testing ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Code Smells ◽  
Detection Techniques ◽  
Code Smell

Context: Code smells are symptoms, that something may be wrong in software systems that can cause complications in maintaining software quality. In literature, there exists many code smells and their identification is far from trivial. Thus, several techniques have also been proposed to automate code smell detection in order to improve software quality. Objective: This paper presents an up-to-date review of simple and hybrid machine learning based code smell detection techniques and tools. Methods: We collected all the relevant research published in this field till 2020. We extracted the data from those articles and classified them into two major categories. In addition, we compared the selected studies based on several aspects like, code smells, machine learning techniques, datasets, programming languages used by datasets, dataset size, evaluation approach, and statistical testing. Results: Majority of empirical studies have proposed machine- learning based code smell detection tools. Support vector machine and decision tree algorithms are frequently used by the researchers. Along with this, a major proportion of research is conducted on Open Source Softwares (OSS) such as, Xerces, Gantt Project and ArgoUml. Furthermore, researchers paid more attention towards Feature Envy and Long Method code smells. Conclusion: We identified several areas of open research like, need of code smell detection techniques using hybrid approaches, need of validation employing industrial datasets, etc.

scholarly journals QOLP-03. NEURO-ONCOLOGY PALLIATIVE CARE SURVEY OF PHYSICIANS IN SUB-SAHARAN AFRICA

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii175-ii175
Author(s):  
Ramya Tadipatri ◽  
Amir Azadi ◽  
Madison Cowdrey ◽  
Samuel Fongue ◽  
Paul Smith ◽  
...  
Keyword(s):  
Palliative Care ◽  
Care Delivery ◽  
Cultural Beliefs ◽  
Oral Feeding ◽  
Statistical Testing ◽  
Sub Saharan Africa ◽  
Neurological Deficits ◽  
Survey Study ◽  
Prior Training ◽  
Sub Saharan

Abstract BACKGROUND Early access to palliative care is a critical component of treating patients with advanced cancer, particularly for glioblastoma patients who have low rates of survival despite optimal therapies. Additionally, there are unique considerations for primary brain tumor patients given the need for management of headaches, seizures, and focal neurological deficits. METHODS We conducted a survey of 109 physicians in Sub-Saharan Africa in order to determine level of understanding and skill in providing palliative care, types of palliative care therapies provided, role of cultural beliefs, availability of resources, and challenges faced. Demographic data including age, gender, and prior training was collected and analyzed using ANOVA statistical testing. RESULTS Among the participants, 48% felt comfortable in providing palliative care consultations, 62% have not had prior training, 52% believed that palliative care is only appropriate when there is irreversible deterioration, 62% expressed having access to palliative care, 49% do not have access to liquid opioid agents, 50% stated that cultural beliefs held by the patient or family prevented them from receiving, palliative care, and 23% stated that their own beliefs affected palliative care delivery. Older providers (age > 30) had a clearer understanding of palliative care (p = 0.004), were more comfortable providing consultation (p = 0.052), and were more likely to address mental health (p < 0.001). CONCLUSIONS Palliative care delivery to glioblastoma patients in Sub-Saharan Africa is often delayed until late in the disease course. Barriers to adequate palliative care treatment identified in this survey study include lack of training, limited access to liquid opioid agents, and cultural beliefs. Challenges most often identified by participants were pain management and end-of-life communication skills, but also included patient spirituality and psychological support, anxiety and depression, terminal dyspnea, ethics, and intravenous hydration and non-oral feeding.

scholarly journals Fitting Terrestrial Laser Scanner Point Clouds with T-Splines: Local Refinement Strategy for Rigid Body Motion

2021 ◽  
Vol 13 (13) ◽  
pp. 2494
Author(s):  
Gaël Kermarrec ◽  
Niklas Schild ◽  
Jan Hartmann
Keyword(s):  
Point Cloud ◽  
Goodness Of Fit ◽  
Laser Scanner ◽  
Point Clouds ◽  
Statistical Testing ◽  
Computational Time ◽  
Terrestrial Laser Scanner ◽  
Reference Surface ◽  
Local Refinement ◽  
Surface Approximation

T-splines have recently been introduced to represent objects of arbitrary shapes using a smaller number of control points than the conventional non-uniform rational B-splines (NURBS) or B-spline representatizons in computer-aided design, computer graphics and reverse engineering. They are flexible in representing complex surface shapes and economic in terms of parameters as they enable local refinement. This property is a great advantage when dense, scattered and noisy point clouds are approximated using least squares fitting, such as those from a terrestrial laser scanner (TLS). Unfortunately, when it comes to assessing the goodness of fit of the surface approximation with a real dataset, only a noisy point cloud can be approximated: (i) a low root mean squared error (RMSE) can be linked with an overfitting, i.e., a fitting of the noise, and should be correspondingly avoided, and (ii) a high RMSE is synonymous with a lack of details. To address the challenge of judging the approximation, the reference surface should be entirely known: this can be solved by printing a mathematically defined T-splines reference surface in three dimensions (3D) and modeling the artefacts induced by the 3D printing. Once scanned under different configurations, it is possible to assess the goodness of fit of the approximation for a noisy and potentially gappy point cloud and compare it with the traditional but less flexible NURBS. The advantages of T-splines local refinement open the door for further applications within a geodetic context such as rigorous statistical testing of deformation. Two different scans from a slightly deformed object were approximated; we found that more than 40% of the computational time could be saved without affecting the goodness of fit of the surface approximation by using the same mesh for the two epochs.

scholarly journals Using Least-Squares Residuals to Assess the Stochasticity of Measurements—Example: Terrestrial Laser Scanner and Surface Modeling

2021 ◽  
Vol 5 (1) ◽  
pp. 59
Author(s):  
Gaël Kermarrec ◽  
Niklas Schild ◽  
Jan Hartmann
Keyword(s):  
Least Squares ◽  
Laser Scanner ◽  
Real Data ◽  
Point Clouds ◽  
Statistical Testing ◽  
Normal Vector ◽  
Engineering Structures ◽  
3D Point Clouds ◽  
Least Squares Adjustment ◽  
Correlation Parameters

Terrestrial laser scanners (TLS) capture a large number of 3D points rapidly, with high precision and spatial resolution. These scanners are used for applications as diverse as modeling architectural or engineering structures, but also high-resolution mapping of terrain. The noise of the observations cannot be assumed to be strictly corresponding to white noise: besides being heteroscedastic, correlations between observations are likely to appear due to the high scanning rate. Unfortunately, if the variance can sometimes be modeled based on physical or empirical considerations, the latter are more often neglected. Trustworthy knowledge is, however, mandatory to avoid the overestimation of the precision of the point cloud and, potentially, the non-detection of deformation between scans recorded at different epochs using statistical testing strategies. The TLS point clouds can be approximated with parametric surfaces, such as planes, using the Gauss–Helmert model, or the newly introduced T-splines surfaces. In both cases, the goal is to minimize the squared distance between the observations and the approximated surfaces in order to estimate parameters, such as normal vector or control points. In this contribution, we will show how the residuals of the surface approximation can be used to derive the correlation structure of the noise of the observations. We will estimate the correlation parameters using the Whittle maximum likelihood and use comparable simulations and real data to validate our methodology. Using the least-squares adjustment as a “filter of the geometry” paves the way for the determination of a correlation model for many sensors recording 3D point clouds.

scholarly journals Chemical and Phytocoenological Characteristics of Two Different Slovak Peatlands

Plants ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1290
Author(s):  
Danica Fazekašová ◽  
Gabriela Barančíková ◽  
Juraj Fazekaš ◽  
Lenka Štofejová ◽  
Ján Halas ◽  
...  
Keyword(s):  
Organic Matter ◽  
Soil Profile ◽  
Agricultural Land ◽  
Nitrogen Supply ◽  
Point Of View ◽  
Statistical Testing ◽  
Plant Residues ◽  
Soil Reaction ◽  
Chemical Parameters

This paper presents the results of pedological and phytocoenological research focused on the detailed research of chemical parameters (pH, organic carbon, and nutrients), risk elements (As-metalloid, Cd, Co, Cr, Cu, Ni, Pb, and Zn), and species composition of the vegetation of two different peatlands on the territory of Slovakia—Belianske Lúky (a fen) and Rudné (a bog). Sampling points were selected to characterize the profile of the organosol within the peatland, the soil profile between the peatland and the agricultural land, and the soil profile of the outlying agricultural land, which is used as permanent grassland. Based on phytocoenological records, a semi-quantitative analysis of taxa in accordance with the Braun–Blanquet scale was performed. The study revealed that the thickness of the peat horizon of the fen in comparison with the bog is very low. In terms of the quality of organic matter, the monitored peatlands are dominated by fresh plant residues such as cellulose and lignin. Differences between individual types of peatlands were also found in the soil reaction and the supply of nitrogen to the organic matter of peat. The values of the soil exchange reaction were neutral on the fen, as well as slightly alkaline but extremely low on the bog. A significantly higher nitrogen supply was found in the organic matter of the fen in contrast to the bog. At the same time, extremely low content of accessible P and an above-limit content of As in the surface horizons were also found on the fen. From the phytocoenological point of view, 22 plant species were identified on the fen, while only five species were identified on the bog, which also affected the higher diversity (H’) and equitability (e). The results of the statistical testing confirmed the diversity of the studied peatlands and the different impact of environmental variables on plant diversity.

scholarly journals Can ultrasound suffice for triaging patients requiring surgical correction of rotator cuff tears—a comparative evaluation of ultrasound and magnetic resonance imaging

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Aniket Agarwal ◽  
Kavita Vani ◽  
Anurag Batta ◽  
Kavita Verma ◽  
Shishir Chumber
Keyword(s):  
Rotator Cuff ◽  
Biceps Tendon ◽  
Surgical Correction ◽  
Statistical Testing ◽  
Rotator Cuff Tears ◽  
Full Thickness ◽  
Partial Thickness ◽  
Linear Probe ◽  
Significant Difference ◽  
Sensitivity Specificity

Abstract Background Objectives: To comparatively evaluate the role of ultrasound and MRI in rotator cuff and biceps tendon pathologies and to establish ultrasound as a consistently reproducible, quick and accurate primary investigation modality sufficient to triage patients requiring surgical correction of full thickness rotator cuff tears. Methods: Fifty patients, clinically suspected to have rotator cuff and/or biceps tendon pathologies, with no contraindications to MRI, were evaluated by US and MRI, in a prospective cross-sectional observational study. US was done with high-frequency linear probe, and MRI was done on a 1.5-T scanner using T1 oblique sagittal, proton density (PD)/T2 fat-suppressed (FS) oblique sagittal, T1 axial, PD/T2 FS axial, T1 oblique coronal, T2 oblique coronal and PD FS oblique coronal sequences. Statistical testing was conducted with the statistical package for the social science system version SPSS 17.0. The sensitivity, specificity, PPV, NPV and accuracy were also calculated to analyze the diagnostic accuracy of US findings correlating with MRI findings. A p value less than 0.05 was taken to indicate a significant difference. Results Mean age was 45 years; 74% patients were males; 77% females and 60% males had tears. Majority of patients with rotator cuff tears were in the sixth decade of life. The frequency of tears was higher among older patients. Fourteen percent of patients had full thickness tears while 64% had partial thickness tears. US was comparable to MRI for detection of full thickness tears with overall sensitivity, specificity, PPV and accuracy of 93.8%, 100%, 100% and 98.2%, respectively (p value < 0.001). For partial thickness tears, US had overall sensitivity, specificity, PPV and accuracy of 75.6%, 82.6%, 89.5% and 78%, respectively (p value < 0.001), as compared to MRI. Subacromial-subdeltoid bursal effusion and long head of biceps tendon sheath effusion were common associated, though, non-specific findings. Conclusion Ultrasound findings in our study were found to be in significant correlation with findings on MRI in detection of rotator cuff tears. US was equivalent to MRI in detection of full thickness tears and fairly accurate for partial thickness tears. Therefore, US should be considered as the first line of investigation for rotator cuff pathologies.

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