scholarly journals Does the P Value Have a Future in Plant Pathology?

2015 ◽  
Vol 105 (11) ◽  
pp. 1400-1407 ◽  
Author(s):  
L. V. Madden ◽  
D. A. Shah ◽  
P. D. Esker
Keyword(s):  
Data Analysis ◽  
Null Hypothesis ◽  
Posterior Probability ◽  
Prior Probability ◽  
Statistical Significance ◽  
Statistical Testing ◽  
P Value ◽  
Significance Level ◽  
Continued Use ◽  
Null Hypothesis Statistical Testing

The P value (significance level) is possibly the mostly widely used, and also misused, quantity in data analysis. P has been heavily criticized on philosophical and theoretical grounds, especially from a Bayesian perspective. In contrast, a properly interpreted P has been strongly defended as a measure of evidence against the null hypothesis, H0. We discuss the meaning of P and null-hypothesis statistical testing, and present some key arguments concerning their use. P is the probability of observing data as extreme as, or more extreme than, the data actually observed, conditional on H0 being true. However, P is often mistakenly equated with the posterior probability that H0 is true conditional on the data, which can lead to exaggerated claims about the effect of a treatment, experimental factor or interaction. Fortunately, a lower bound for the posterior probability of H0 can be approximated using P and the prior probability that H0 is true. When one is completely uncertain about the truth of H0 before an experiment (i.e., when the prior probability of H0 is 0.5), the posterior probability of H0 is much higher than P, which means that one needs P values lower than typically accepted for statistical significance (e.g., P = 0.05) for strong evidence against H0. When properly interpreted, we support the continued use of P as one component of a data analysis that emphasizes data visualization and estimation of effect sizes (treatment effects).

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.

Paper Rejected (p>0.05)

2011 ◽  
pp. 323-328
Author(s):  
Mark. D. Dunlop ◽  
Mark Baillie
Keyword(s):  
Null Hypothesis ◽  
Research Community ◽  
Position Paper ◽  
Statistical Testing ◽  
Testing Methods ◽  
P Values ◽  
Null Hypothesis Statistical Testing

Null-hypothesis statistical testing has been seriously criticised in other domains, to the extent of some advocating a complete ban on publishing p-values. This short position paper aims to introduce the argument to the mobile-HCI research community, who make extensive use of the controversial testing methods.

The probability of a robust inference for internal validity

2020 ◽  
pp. 004912412091492
Author(s):  
Tenglong Li ◽  
Ken Frank
Keyword(s):  
Observational Study ◽  
Causal Inference ◽  
Null Hypothesis ◽  
Statistical Power ◽  
Internal Validity ◽  
Bayesian Framework ◽  
Statistical Testing ◽  
Robust Inference ◽  
Step Procedure ◽  
Null Hypothesis Statistical Testing

The internal validity of observational study is often subject to debate. In this study, we define the counterfactuals as the unobserved sample and intend to quantify its relationship with the null hypothesis statistical testing (NHST). We propose the probability of a robust inference for internal validity, that is, the PIV, as a robustness index of causal inference. Formally, the PIV is the probability of rejecting the null hypothesis again based on both the observed sample and the counterfactuals, provided the same null hypothesis has already been rejected based on the observed sample. Under either frequentist or Bayesian framework, one can bound the PIV of an inference based on his bounded belief about the counterfactuals, which is often needed when the unconfoundedness assumption is dubious. The PIV is equivalent to statistical power when the NHST is thought to be based on both the observed sample and the counterfactuals. We summarize the process of evaluating internal validity with the PIV into a six-step procedure and illustrate it with an empirical example.

When Studies are in Error: Basic Statistical Vocabulary Needed to Understand Clinical Studies

1996 ◽  
Vol 1 (1) ◽  
pp. 25-28 ◽  
Author(s):  
Martin A. Weinstock
Keyword(s):  
Null Hypothesis ◽  
Statistical Power ◽  
Critical Appraisal ◽  
Type I Error ◽  
Statistical Significance ◽  
P Value ◽  
Type I ◽  
Type Ii ◽  
Type Ii Error ◽  
Error Type

Background: Accurate understanding of certain basic statistical terms and principles is key to critical appraisal of published literature. Objective: This review describes type I error, type II error, null hypothesis, p value, statistical significance, a, two-tailed and one-tailed tests, effect size, alternate hypothesis, statistical power, β, publication bias, confidence interval, standard error, and standard deviation, while including examples from reports of dermatologic studies. Conclusion: The application of the results of published studies to individual patients should be informed by an understanding of certain basic statistical concepts.

Null hypothesis statistical testing and the balance between positive and negative approaches

2004 ◽  
Vol 27 (3) ◽  
pp. 338-339
Author(s):  
Adam S. Goodie
Keyword(s):  
Social Cognition ◽  
Null Hypothesis ◽  
Statistical Testing ◽  
Null Hypothesis Statistical Testing

Several of Krueger & Funder's (K&F's) suggestions may promote more balanced social cognition research, but reconsidered null hypothesis statistical testing (NHST) is not one of them. Although NHST has primarily supported negative conclusions, this is simply because most conclusions have been negative. NHST can support positive, negative, and even balanced conclusions. Better NHST practices would benefit psychology, but would not alter the balance between positive and negative approaches.

Predictive molecular tumor response through circulating DNA (cDNA) measurements and correlation with established prognostic markers in a series of solid tumors treated with multitargeted epigenetic therapy (MTET).

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e13015-e13015
Author(s):  
Mohammad A. Nezami ◽  
Christian Klowsowski ◽  
Steven Jeffrey Hager
Keyword(s):  
Allele Frequency ◽  
Prognostic Markers ◽  
Statistical Significance ◽  
Tumor Burden ◽  
Epigenetic Therapy ◽  
P Value ◽  
Similar Response ◽  
Fisher Exact Probability Test ◽  
Exact Probability ◽  
Significance Level

e13015 Background: Epigenetic dysregulation of certain genes contribute to the progression of cancers. Plasma ctDNA concentrations can reflect these altered genes and have been shown to correlate well with tumor burden. Methods: We planned to assess the correlation value of c DNA on known factors for prediction of overall survival (OS), recognized as surrogates for survival. Ten( 10) genes of interest, namely NOTCH1, FGF2, MYC, RB1, ATM, MET, BRCA1, BRCA2, ATM and, VHL, were selected as being highly influenced by epigenetic control. We included 54 patients with reported cDNA on the genes of interest for this study evaluating the predictive impact of early changes in cDNA in response to multitargeted epigenetic treatment and the patient survival. There were 12 cases with NOTCH1 mutations, 20 cases with MYC mutations, 5 cases with RB1, 15 cases with BRCA1 or BRCA2 mutations, 26 cases with FGF2 mutations, 18 cases with MET mutations, 2 with VHL mutations and 2 cases with ATM mutations, for a total of 100 data points. Tests for statistical significance were completed using the Fisher Exact probability test calculator found at vassarstats.net/tab2x2.html. Significance level was set at α = .05. Results: There was statistically significant (p-value: .046) correlation on the response of the allele frequency of the observed NOTCH1 alteration with similar response in the angiogenesis biomarkers (Plasma VEGF) and presence of circulating tumor cells. There was a significant correlation (p-value: .014) between a decrease in AF of the observed MYC alteration and biomarker/imaging response on follow-up. In the group of 26 identified with FGF2 mutations, 22 saw cDNA alteration fraction(AF) reduction post therapy. 16/26 of them had either c Myc or NOTCH1 alterations. Also 8 /18 cases with c Met alterations shared NOTCH1 or Myc alteration. This represents a statistically significant (p-value: .0001) correlation on the response of the allele frequency of the observed FGFR2 alteration with the response of other biomarkers. Conclusions: There were a number of significant correlations observed between early changes in cDNA allele fractions of specific genes and the later observations of established prognostic markers. We conclude that changes in cDNA mutated allele fractions observed in liquid biopsy may provide an early useful independent prognostic marker for tumors carrying epigenetically influenced targets and their alterations.

scholarly journals Determination of factors involved in the rejection of bananas (Musa acuminata) intended for international commercialization

2020 ◽  
Vol 1 (1) ◽  
pp. 48-53
Author(s):  
Jesus R. Melendez ◽  
Alberto Peñalver ◽  
Paola Pincay Figueroa ◽  
Nelly L. Pulgar ◽  
Mayra Cayo
Keyword(s):  
Null Hypothesis ◽  
Business Models ◽  
Management Practices ◽  
Abiotic Factors ◽  
Musa Acuminata ◽  
P Value ◽  
Sustainable Business ◽  
Significance Level ◽  
Export Sector ◽  
Export System

Rendering production and trade more sustainable can be accomplished via promoting innovation and sustainable business models. This paper addresses sustainable production and international trade in the banana agro-export sector of Ecuador. This activity provides millions of dollars in income, but with this development, a series of quality standards have been established to enter the competitive export system. These criteria contributed to establishing good post-harvest production and management practices that guarantee optimal banana and plantain production. The objective of this study is to determine the factors involved in the rejection of bananas (Musa acuminata) intended for international commercialization. Our methodology considered the design modality of non-experimental transactional research, using a quantitative approach. Methodological design was developed in three phases at Finca 6 Hermanas, located in the Barraganete sector of the San Juan parish in the Puebloviejo canton of the Los Ríos Province, Ecuador. Results highlight that 79.55 % of reasons for banana rejection are abiotic factors (damage, dry latex, scar, insect damage, broken neck, and overgrowth), while biotic factors ( twins, diseases, and short finger) cause 20.45%. Over the 6-week duration of our investigation the average rejection was 6,361 fingers and 1,269 kg. The analysis of variance turned out to be significant for variable 1 (biotic and abiotic). In this case the null hypothesis (Ho) is rejected; with the criterion of p-value < 0.0001 and F (9; 45) = 2.10., F = 13.17> F critical. For variable (2) “work weeks”, Ho is accepted for p-value of 0.7694 and F (5; 45) = 2.4. As F = 0.51 < F critical, one can conclude, that with a significance level of 5% the null hypothesis is accepted. It is also established that these figures enable strategies that systemically mitigate the damages via correcting the causes that lead to the deterioration of banana and, by this, increase the economic gains of commercialization.

scholarly journals Pengaruh Terapi Musik Klasik terhadap Tingkat Kecemasan Pada Ibu Hamil Primigravida Trimester III

2021 ◽  
Vol 2 (1) ◽  
pp. 191-200
Author(s):  
Hijrianti Suharnah ◽  
Fatma Jama ◽  
Suhermi Suhermi
Keyword(s):  
Data Analysis ◽  
Music Therapy ◽  
Pregnant Women ◽  
Research Design ◽  
Classical Music ◽  
Wilcoxon Test ◽  
P Value ◽  
Third Trimester ◽  
Significance Level ◽  
Anxiety Levels

Primigravida pregnancy is a condition that causes physical and psychological changes. One of the psychological aspects that affect pregnancy and can cause anxiety. This study aims to determine the effect of classical music therapy on anxiety levels in third trimester primigravida pregnant women at UPTD Puskesmas Turikale Kab. Maros. The research design used was a quasi experiment. The research design used was "One Group Pretest-Postest Design". The sample determination is done by total sampling technique with a sample size of 23 respondents. The intervention was given for 6 times of intervention for 2 weeks. The data analysis used was the Wilcoxon test data analysis with a significance level of α = 0.05. If the p value <0.05 then Ha is accepted, it means that there is an effect of the independent variable on the dependent variable The research results from statistical analysis using the Wilcoxon test obtained the value of ρ = 0.000, where the value of ρ is smaller than the value of α = 0.05, then Ha is accepted. The results of the study prove that there is an effect of classical music therapy on anxiety levels in Primigravida Trimester III pregnant women. The conclusion of this study is the effect of classical music therapy on the anxiety level of primigravida pregnant women. Before being given classical music therapy, the level of anxiety in the third trimester of primigravida pregnant women was mild anxiety, moderate anxiety and severe anxiety. Meanwhile, after being given classical music therapy intervention, there was a decrease in anxiety levels, namely not anxious, mild anxiety and moderate anxiety.

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