Utility of an Effect Size Analysis for Communicating Treatment Effectiveness: A Case Study of Cholinesterase Inhibitors for A lzheimer's Disease

2013 ◽  
Vol 61 (7) ◽  
pp. 1170-1174 ◽  
Author(s):  
Kevin R. Peters
Keyword(s):  
Effect Size ◽  
Cholinesterase Inhibitors ◽  
Treatment Effectiveness ◽  
Size Analysis

An Effect-Size Analysis of the Relative Efficacy and Tolerability of Serotonin Selective Reuptake Inhibitors for Panic Disorder

2001 ◽  
Vol 158 (12) ◽  
pp. 1989-1992 ◽  
Author(s):  
Michael W. Otto ◽  
Kimberly S. Tuby ◽  
Robert A. Gould ◽  
Renée Y.S. McLean ◽  
Mark H. Pollack
Keyword(s):  
Panic Disorder ◽  
Effect Size ◽  
Size Analysis ◽  
Relative Efficacy

scholarly journals The Other Half of the Story: Effect Size Analysis in Quantitative Research

2013 ◽  
Vol 12 (3) ◽  
pp. 345-351 ◽  
Author(s):  
Jessica Middlemis Maher ◽  
Jonathan C. Markey ◽  
Diane Ebert-May
Keyword(s):  
Educational Research ◽  
Effect Size ◽  
Quantitative Research ◽  
Statistical Significance ◽  
The Other ◽  
Practical Significance ◽  
Significance Testing ◽  
Size Analysis ◽  
Significance Tests ◽  
Statistical Significance Testing

Statistical significance testing is the cornerstone of quantitative research, but studies that fail to report measures of effect size are potentially missing a robust part of the analysis. We provide a rationale for why effect size measures should be included in quantitative discipline-based education research. Examples from both biological and educational research demonstrate the utility of effect size for evaluating practical significance. We also provide details about some effect size indices that are paired with common statistical significance tests used in educational research and offer general suggestions for interpreting effect size measures. Finally, we discuss some inherent limitations of effect size measures and provide further recommendations about reporting confidence intervals.

scholarly journals Transects, quadrats, or points? What is the best combination to get a precise estimation of a coral community?

2019 ◽  
Author(s):  
Luis M. Montilla ◽  
Emy Miyazawa ◽  
Alfredo Ascanio ◽  
María López-Hernández ◽  
Gloria Mariño-Briceño ◽  
...  
Keyword(s):  
Community Structure ◽  
Coral Reef ◽  
Effect Size ◽  
Standard Error ◽  
Scleractinian Coral ◽  
Statistical Power ◽  
Coral Community ◽  
Sampling Effort ◽  
Precise Estimation

ABSTRACTThe characteristics of coral reef sampling and monitoring are highly variable, with numbers of units and sampling effort varying from one study to another. Numerous works have been carried out to determine an appropriate effect size through statistical power, however, always from a univariate perspective. In this work, we used the pseudo multivariate dissimilarity-based standard error (MultSE) approach to assess the precision of sampling scleractinian coral assemblages in reefs of Venezuela between 2017 and 2018 when using different combinations of number of transects, quadrats and points. For this, the MultSE of 36 sites previously sampled was estimated, using four 30m-transects with 15 photo-quadrats each and 25 random points per quadrat. We obtained that the MultSE was highly variable between sites and is not correlated with the univariate standard error nor with the richness of species. Then, a subset of sites was re-annotated using 100 uniformly distributed points, which allowed the simulation of different numbers of transects per site, quadrats per transect and points per quadrat using resampling techniques. The magnitude of the MultSE stabilized by adding more transects, however, adding more quadrats or points does not improve the estimate. For this case study, the error was reduced by half when using 10 transects, 10 quadrats per transect and 25 points per quadrat. We recommend the use of MultSE in reef monitoring programs, in particular when conducting pilot surveys to optimize the estimation of the community structure.

Proppant Distribution in Newly Completed and Re-Fractured Wells - An Eagle Ford Shale Case Study

2021 ◽  
Author(s):  
Justin Allison ◽  
Glyn Roberts ◽  
Brad Hicks Hicks ◽  
Todd Lilly
Keyword(s):  
Oil And Gas ◽  
Treatment Effectiveness ◽  
Design Parameters ◽  
Distribution Analysis ◽  
Eagle Ford Shale ◽  
Eagle Ford ◽  
Video Footage ◽  
Final Consideration ◽  
Fractured Well

Abstract Fracture treatments and stage designs for new wells have evolved considerably over the past decade contributingto significant production growth. For example, in the acreage discussed hererecently used higher intensity fracturing methods provided an ~80% increase in recovery rates compared with legacy wells. Older wells completed originally with less efficient techniques can also benefit from these more up-to-date designs and treatments using re-fracturing methods. These offer the prospect of economically boosting production in appropriately selected wells. While adding in-fill wells has often been favored by Operators as a lowerrisk option the number of wells being re-fractured has grown every year for the last decade. In this case study two adjacent Eagle Ford wells, comprising a newly completed and a re-fractured well, allow both methods to be considered and compared. Completion design and fracture treatment effectiveness are evaluated using the uniformity of proppant distribution at cluster and stage level as the primary measure. Perforation erosion measurements from downhole video footage is used as the main diagnostic. Novel data acquisition methods combined with successful well preparation provided comprehensive and high-quality datasets. The subsequent proppant distribution analysis for the two wells provides the highest confidence results presented to date. Clear, repeatable trends in distribution are observed and these are compared across multiple stage designs for both the newly completed and re-fractured well. Variations in design parameters and how these effects distribution and ultimately recovery are discussed. These include changes to perforation count per cluster, cluster spacing, cluster count per stage, stage length, perforation charge size and treatment rates and volumes. As a final consideration production records for the evaluated wells are also discussed. Historical industry data shows that the number of wells being re-fractured increases relative to the number of newly drilled wells being completed during periods of low oil and gas prices. With the industry again facing harsh economic realities an increasing number of decisions will be made on whether new or refractured wells, or a combination of both, provide the best solution to replace otherwise inevitable production decline. This paper attempts to provide a detailed understanding of how proppant distribution, as a significant factor in production for hydraulically fractured wells, can be evaluated and considered in these decisions.

scholarly journals The Effect of the Arab Spring on the Performance of Islamic and Conventional Banks in Egypt: Which Model Performs Better Amidst Crisis?

2020 ◽  
Vol 11 (4) ◽  
pp. 180
Author(s):  
Zar-Tashiya Khan ◽  
Andres Ramirez ◽  
David Ketcham
Keyword(s):  
Credit Risk ◽  
Effect Size ◽  
Arab Spring ◽  
Small Sample Size ◽  
Small Sample ◽  
Capital Adequacy ◽  
Superior Performance ◽  
Size Analysis ◽  
Ratio Analysis ◽  
The Arab Spring

This empirical study analyzes financial institutions and performance in times of external crisis and whether a difference in performance between Islamic (IBs) and conventional (CBs) bank models exists. Egypt surrounding the Arab Spring (2009-2013) is taken as a case study, comparing 6 CBs and 3 IBs. Financial ratio analysis is the main method employed, allowing performance to be measured by efficiency, capital adequacy, profitability, solvency, liquidity, and credit risk performance. Due to small sample size, the nonparametric Mann-Whitney U test and effect size analysis assess the significance of the ratio analysis results. Results show CBs have superior performance in all indicators other than Cost-Income and NIM. Efficiency performance for both models were equally volatile or alternately stable with progression through the crisis, while IBs increased capital adequacy and solvency during the crisis. IBs profitability was significantly negatively impacted by the crisis, other than related to NIM, while CBs increased profitability rates. IBs liquidity worsened, then improved midway through the crisis while CBs stabilized liquidity rates throughout. IBs improved credit risk midway through the crisis while CBs declined. Nonparametric results hold observed differences are insignificant and have weak effect size for all but the TENL ratio.

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