scholarly journals Biostatistical Analysis: A Primer for Clinical Exercise Physiology, Part 1

2018 ◽  
Vol 7 (3) ◽  
pp. 63-69
Author(s):  
Suzanne L. Havstad ◽  
George W. Divine
Keyword(s):  
Sample Size ◽  
Gold Standard ◽  
Exercise Physiology ◽  
Analytical Techniques ◽  
Multiple Comparisons ◽  
Inference Process ◽  
P Values ◽  
Advantages And Disadvantages ◽  
Point Estimates ◽  
Biostatistical Analysis

ABSTRACT In this first of a two-part series on introductory biostatistics, we briefly describe common designs. The advantages and disadvantages of six design types are highlighted. The randomized clinical trial is the gold standard to which other designs are compared. We present the benefits of randomization and discuss the importance of power and sample size. Sample size and power calculations for any design need to be based on meaningful effects of interest. We give examples of how the effect of interest and the sample size interrelate. We also define concepts helpful to the statistical inference process. When drawing conclusions from a completed study, P values, point estimates, and confidence intervals will all assist the researcher. Finally, the issue of multiple comparisons is briefly explored. The second paper in this series will describe basic analytical techniques and discuss some common mistakes in the interpretation of data.

scholarly journals Why ability point estimates can be pointless: a primer on using skill measures from large-scale assessments in secondary analyses

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Clemens M. Lechner ◽  
Nivedita Bhaktha ◽  
Katharina Groskurth ◽  
Matthias Bluemke
Keyword(s):  
Measurement Error ◽  
Statistical Models ◽  
Test Scores ◽  
Large Scale ◽  
Equation Modeling ◽  
Model Parameters ◽  
Advantages And Disadvantages ◽  
Point Estimates ◽  
Secondary Analyses ◽  
Large Scale Assessments

AbstractMeasures of cognitive or socio-emotional skills from large-scale assessments surveys (LSAS) are often based on advanced statistical models and scoring techniques unfamiliar to applied researchers. Consequently, applied researchers working with data from LSAS may be uncertain about the assumptions and computational details of these statistical models and scoring techniques and about how to best incorporate the resulting skill measures in secondary analyses. The present paper is intended as a primer for applied researchers. After a brief introduction to the key properties of skill assessments, we give an overview over the three principal methods with which secondary analysts can incorporate skill measures from LSAS in their analyses: (1) as test scores (i.e., point estimates of individual ability), (2) through structural equation modeling (SEM), and (3) in the form of plausible values (PVs). We discuss the advantages and disadvantages of each method based on three criteria: fallibility (i.e., control for measurement error and unbiasedness), usability (i.e., ease of use in secondary analyses), and immutability (i.e., consistency of test scores, PVs, or measurement model parameters across different analyses and analysts). We show that although none of the methods are optimal under all criteria, methods that result in a single point estimate of each respondent’s ability (i.e., all types of “test scores”) are rarely optimal for research purposes. Instead, approaches that avoid or correct for measurement error—especially PV methodology—stand out as the method of choice. We conclude with practical recommendations for secondary analysts and data-producing organizations.

scholarly journals Cavalier Use of Inferential Statistics Is a Major Source of False and Irreproducible Scientific Findings

Mathematics ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 603
Author(s):  
Leonid Hanin
Keyword(s):  
Sample Size ◽  
Gaussian Approximation ◽  
Statistical Significance ◽  
Statistical Analyses ◽  
Random Sample Size ◽  
P Values ◽  
The Central Limit Theorem ◽  
Fixed Sample ◽  
Large Numbers ◽  
Significance Levels

I uncover previously underappreciated systematic sources of false and irreproducible results in natural, biomedical and social sciences that are rooted in statistical methodology. They include the inevitably occurring deviations from basic assumptions behind statistical analyses and the use of various approximations. I show through a number of examples that (a) arbitrarily small deviations from distributional homogeneity can lead to arbitrarily large deviations in the outcomes of statistical analyses; (b) samples of random size may violate the Law of Large Numbers and thus are generally unsuitable for conventional statistical inference; (c) the same is true, in particular, when random sample size and observations are stochastically dependent; and (d) the use of the Gaussian approximation based on the Central Limit Theorem has dramatic implications for p-values and statistical significance essentially making pursuit of small significance levels and p-values for a fixed sample size meaningless. The latter is proven rigorously in the case of one-sided Z test. This article could serve as a cautionary guidance to scientists and practitioners employing statistical methods in their work.

scholarly journals A20 DIAGNOSTIC ACCURACY OF A LOW COST, WIDELY AVAILABLE TEST STRIP FOR PREDICTING A POSITIVE FECAL CALPROTECTIN TEST

2021 ◽  
Vol 4 (Supplement_1) ◽  
pp. 210-212
Author(s):  
R Trasolini ◽  
S Wong ◽  
B Salh
Keyword(s):  
Sample Size ◽  
Likelihood Ratio ◽  
Gold Standard ◽  
Low Cost ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Rapid Test ◽  
Test Strip ◽  
Fecal Calprotectin ◽  
Type I

Abstract Background Fecal calprotectin is a non-invasive test of colonic inflammation used for monitoring inflammatory bowel disease activity and for risk stratifying non-specific colonic symptoms. Calprotectin is a leukocyte specific enzyme. A similar test, leukocyte esterase is used to detect leukocytes in urine and is widely available as a low-cost point-of-care test strip. We hypothesize that an unmodified version of the urine test strip would be highly accurate in predicting a positive fecal calprotectin test in a real world sample of patients. Aims To explore a low cost, rapid alternative to the fecal calprotectin test Methods All inpatient and outpatient stool samples tested for calprotectin by the Vancouver General Hospital laboratory from February 2020 to November 2020 were included prospectively. Samples were simultaneously tested for fecal leukocyte esterase using an unmodified Roche Cobas Chemstrip urinalysis test strip by central lab personnel. An identical aliquot was sent to LifeLabs for calprotectin as per standard protocol. All samples were suspended in buffer using established laboratory protocols prior to testing. Fecal leukocyte esterase results were reported as 0–4+ based on visual interpretation, calprotectin results were reported as mcg/g of stool. REB review and approval was obtained prior to data collection. Sensitivity, Specificity and AUROC were calculated using Microsoft Excel and JROCFIT. Results 26 samples were collected. Using a fecal calprotectin greater than 120 mcg/g as a gold standard an AUROC of 0.89 (SE= .06) was calculated. A leukocyte esterase reading of 2+ or greater had the best test characteristics based on ROC curve analysis. Using this cutoff, 21/26 samples were concordant, giving an accuracy of 80.8%, sensitivity of 90.9% and specificity of 73.3%. Positive likelihood ratio was 8.07 and negative likelihood ratio was 0.29. Assuming an AUROC of 0.8, the sample size N=26 is 90% powered (β=0.9) to predict the true AUROC within 0.1 with a type I error rate of .05 (α<.05). Conclusions This study suggests application of a prepared stool sample to a urinalysis test strip gives a result highly predictive of a positive fecal calprotectin test. Further results are being collected prospectively to improve the robustness of these preliminary data. Secondary outcomes including comparison to endoscopy and biopsy results where available are planned if an adequate sample size can be accrued. Future studies justifying independent clinical use of leukocyte esterase would require a common gold standard comparator such as endoscopy. Fecal calprotectin testing is not universally insured and is not available as a rapid test strip. Use of fecal leukocyte esterase may reduce costs and shorten time to results if proven to be independently reliable. Funding Agencies None

scholarly journals THE INFLUENCE OF RECRUITMENT AND SELECTION PROCESS ON TECHNICAL EMPLOYEE PERFORMANCE IN PT. TELKOM AKSES NORTH SURABAYA

2020 ◽  
Vol 4 (1) ◽  
pp. 84-93
Author(s):  
Agustiawan Djoko Baruno ◽  
Leny Novita Permatasari
Keyword(s):  
Selection Process ◽  
Employee Performance ◽  
Selection Effect ◽  
Analytical Techniques ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
P Values ◽  
Recruitment And Selection ◽  
Selection Of

This research  aims to  analyze the influence of the process of recruitment and  selection simultaneously as well as partially against employee performance support. In this study using a type of associative methods and quantitative data primary data sources by using the instrument of the questionnaire. The population in this research is the employee technician  PT. Telkom Akses Surabaya Utara as many as 56 respondents.Sampling technique used was saturated samples or often called as well with a sample of the total. Analytical techniques used in this research is the Partial Least Square (PLS) includes test convergen validity, discriminan validity, composite realibility, cronch alpha, R- square, simulan test (test F) and partial test (test T). The results of the analysis explains that the process of recruitment and selection effect simultaneously against the performance of the employee, this is indicated by the value of the count of 40.991 F is greater than F table 4.02 and significance value (S ig) 0.000 smaller than 0.05 and the process of recruitment of influential partially against the performance of the employee, this is shown by the value T calculate of 3.024 is greater than 1.96 table T and value its significance (P values) 0.003 smaller than 0.05. As well as a selection of influential partially against the performance of the employee, this is shown by the value T calculate of 2.856 is greater than 1.96 table T and value its significance (P values) 0.004 smaller than 0.05

scholarly journals School-university partnerships: Lessons learned from 10 years of spectroscopy for teachers and post 16 students

2016 ◽  
pp. 72-76
Author(s):  
TG Harrison ◽  
AJ Shaw ◽  
KL Shallcross ◽  
SJ Williams ◽  
DE Shallcross
Keyword(s):  
Analytical Techniques ◽  
Lessons Learned ◽  
University Partnerships ◽  
Chemistry Students ◽  
Advantages And Disadvantages ◽  
Wide Range

Spectroscopy covers a wide range of analytical techniques, a small sub-set of which UK pre-university chemistry students are required to study. The expense of such equipment means that it is not available to the vast majority of schools whilst it is commonplace in university chemistry departments. This article discusses the evolution of the Bristol ChemLabS spectroscopy outreach activities. The advantages and disadvantages of this method of engagement for both the participants and the providers are discussed from 10 years of activity.

scholarly journals Nanoplastic Labelling with Metal Probes: Analytical Strategies for Their Sensitive Detection and Quantification by ICP Mass Spectrometry

Molecules ◽  
2021 ◽  
Vol 26 (23) ◽  
pp. 7093
Author(s):  
Lucile Marigliano ◽  
Bruno Grassl ◽  
Joanna Szpunar ◽  
Stéphanie Reynaud ◽  
Javier Jiménez-Lamana
Keyword(s):  
Mass Spectrometry ◽  
Inductively Coupled Plasma ◽  
Analytical Techniques ◽  
Inductively Coupled ◽  
Advantages And Disadvantages ◽  
Promising Tool ◽  
Icp Ms ◽  
Analytical Strategies ◽  
Icp Mass Spectrometry ◽  
Detection And Quantification

The detection and quantification of nanoplastics in aquatic environments is one of the major challenges in environmental and analytical research nowadays. The use of common analytical techniques for this purpose is not only hampered by the size of nanoplastics, but also because they are mainly made of carbon. In addition, the expected concentrations in environmental samples are below the detection limit of the majority of analytical techniques. In this context, the great detection capabilities of Inductively Coupled Plasma Mass Spectrometry (ICP-MS) in its Single Particle mode (SP-ICP-MS) have made of this technique a good candidate for the analysis of nanoplastics. Since the monitoring of carbon by ICP-MS faces several difficulties, the use of metal tags, taking advantage of the great potential of nanoplastics to adsorb chemical compounds, has been proposed as an alternative. In this perspectives paper, three different strategies for the analysis of polystyrene (PS) nanoplastics by SP-ICP-MS based on the use of metals species (ions, hydrophobic organometallic compound, and nanoparticles) as tags are presented and discussed. Advantages and disadvantages of each strategy, which rely on the labelling process, are highlighted. The metal nanoparticles labelling strategy is shown as a promising tool for the detection and quantification of nanoplastics in aqueous matrices by SP-ICP-MS.

Null Hypothesis Significance Testing: Ramifications, Ruminations and Recommendations

2005 ◽  
Vol 35 (1) ◽  
pp. 1-20 ◽  
Author(s):  
G. K. Huysamen
Keyword(s):  
Sample Size ◽  
Confidence Intervals ◽  
Effect Size ◽  
Null Hypothesis ◽  
Significance Testing ◽  
Population Parameter ◽  
Size Estimation ◽  
Null Hypothesis Significance Testing ◽  
Point Estimates ◽  
Size Estimates

Criticisms of traditional null hypothesis significance testing (NHST) became more pronounced during the 1960s and reached a climax during the past decade. Among others, NHST says nothing about the size of the population parameter of interest and its result is influenced by sample size. Estimation of confidence intervals around point estimates of the relevant parameters, model fitting and Bayesian statistics represent some major departures from conventional NHST. Testing non-nil null hypotheses, determining optimal sample size to uncover only substantively meaningful effect sizes and reporting effect-size estimates may be regarded as minor extensions of NHST. Although there seems to be growing support for the estimation of confidence intervals around point estimates of the relevant parameters, it is unlikely that NHST-based procedures will disappear in the near future. In the meantime, it is widely accepted that effect-size estimates should be reported as a mandatory adjunct to conventional NHST results.

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