Abolfazl Ghoodjani

Independent Author

a.ghoodjani@Gmail.com Abstract Advanced Statistical Methods and Applications' Book in 10 chapters, three attachments and 574 pages has been published. The aim of the author is that in addition to learning theory and statistical methods, how to use SPSS and Minitab software for Statistical analysis also consider and take action. The author has tried...

Basic Statistics Statistical Comparisons General Linear Model Regression, Correlation Nonlinear Regression Inferential Analysis

We use the Poisson regression model when the dependent quantity is of the type of number, frequency, and count. This model is analyzed in data where Y has a Poisson Distribution and we want to obtain a regression relationship between Y and independent quantities X. There are many discussions in the field of Poisson regression theories. I have given...

What does Compusyn do for us? Do drugs A and B have a synergistic effect with each other? In fact, does the combination of drugs A and B (ie drug A + B) have a greater effect than when the total effects of drugs A and B are examined separately? Is equation E(A + B) > EA + EB true? The best software for analysis on combination drugs is to use softwa...

In this text, we discussed a test called Quade Nonparametric Analysis of Covariance. This test is used when, on the one hand, our study is of the covariance analysis type, and on the other hand, the presuppositions of the covariance analysis on the data are not established. Quade test is a non-parametric analysis and can compare groups and differen...

In this article, we discussed Principal Component Regression (PCR) in GraphPad Prism software. We stated the obtained tables and graphs and explained each one. Principal components regression is a predictive technique that is an alternative to Ordinary Least Squares (OLS) and Partial Least Squares (PLS) regression and is useful when the predictor...

Principal components regression is a predictive technique that is an alternative to Ordinary Least Squares (OLS) and Partial Least Squares (PLS) regression and is useful when the predictor quantities (X) are highly correlated with each other or when the number of predictors is large. The number of cases (n) is more. PCR principal component regress...

This Paper of the guide covers methods of survival analysis available within Prism, including the Kaplan-Meier estimation of survival as well as survival analysis using Cox proportional hazards regression. These two methods are quite different, and are both explained in detail on their respective pages in this guide.

With some experiments, the outcome is a survival time, and you want to compare the survival of two or more groups. Survival curves show, for each plotted time on the X axis, the portion of all individuals surviving as of that time. The term "survival" is a bit misleading; you can use survival curves to study times required to reach any well-defined...

In this article, we estimated the Probit Regression model. Estimation of model parameters and especially LD50 has been our interest.

RFM Analysis (Transaction Data)  RFM Analysis (Customer Data)  Cluster Analysis  Prospect Profiles  Postal Codes Response Rate  Propensity to Purchase  Control Package Test

Multinomial Logistic Regression Analysis Using SPSS

https://graphpad.ir/statistics/ SPSS, GraphPad Prism, Minitab Contact Me (A.ghoodjani@gmail.com)

https://graphpad.ir/statistics/ SPSS, GraphPad Prism, Minitab Contact Me (A.ghoodjani@gmail.com)

Complete software SPSS training Menu description and work with SPSS.

https://graphpad.ir/principal-component-analysis-prism/ Principal Component Analysis (PCA) is a multivariate technique that is used to reduce the dimension of a dataset while retaining as much information from the data as possible. The pages of this section will provide a bit of background information on some of the concepts and techniques that ar...

Means  Proportions  Correlations  Regression

One-Sample Proportions  Independent-Samples Proportions  Paired-Samples Proportions

Cluster Analysis Using Minitab (Cluster Variables, Cluster Observations, Cluster K-Means)

New statistics Procedure enhancements Data visualizations Usability improvements

Basic Statistics Statistical Comparisons General Linear Model Regression, Correlation Nonlinear Regression Inferential Analysis

Statistical Comparisons Regression and Correlation Nonlinear Regression Clinical (Diagnostic) Lab Statistics Contingency and Survival Generalized Linear Models

Descriptive Statistic Test of Homogeneity of Variances Post Hoc Tests Compare Means & Plots Levene Statistic Test Multiple Comparisons Homogeneous Subsets Partial Eta Squared Observed Power Univariate Analysis of Variance Between-Subjects Factors Tests of Between-Subjects Effects Estimated Marginal Means

Univariate Analysis of Variance Between-Subjects Factors Descriptive Statistics Test of Homogeneity of Variances Post Hoc Tests Partial Eta Squared Observed Power Compare Means Levene Statistic Test Multiple Comparisons Homogeneous Subsets Means Plots Tests of Between-Subjects Effects Estimated Marginal Means

Descriptive Statistic Box’s Test of Equality of Covariance Matrices Multivariate Tests Pillai’s Trace Wilks’ Lambda Hotelling’s Trace Roy’s Largest Root Test of Homogeneity of Variances Post Hoc Tests Compare Means & Plots Levene Statistic Test Multiple Comparisons Main & Interaction Effects Homogeneous Subsets Partial Eta Squared Observed Power Mu...

Descriptive Statistic Box’s Test of Equality of Covariance Matrices Multivariate Tests Pillai’s Trace Wilks’ Lambda Hotelling’s Trace Roy’s Largest Root Test of Homogeneity of Variances Post Hoc Tests Compare Means & Plots Levene Statistic Test Multiple Comparisons Homogeneous Subsets Partial Eta Squared Observed Power Multivariate Analysis of Vari...

One-way ANCOVA Univariate GLM with SPSS

Univariate Analysis of Variance Between-Subjects Factors Descriptive Statistics Partial Eta Squared Observed Power Compare Means Levene Statistic Test Multiple Comparisons Corrected Model & Total Means Plots Tests of Between-Subjects Effects Estimated Marginal Means

Multiivariate Analysis of Variance Between-Subjects Factors Descriptive Statistics Partial Eta Squared Observed Power Compare Means Levene Statistic Test Multiple Comparisons Corrected Model & Total Means Plots Tests of Between-Subjects Effects Estimated Marginal Means

Background: Premature luteinizing hormone (LH) surge is one of the causes for assisted reproductive technology cycle cancellation, and it is needed to find novel approaches with improved efficacy and safety profile. Objective: To compare the effects of Duphaston and Cetrotide on the prevention of premature LH surge and characteristics of retriev...

With some statistics programs, you'd put all values into one column, and then use another column to define the groups. Prism never defines groups using this kind of grouping variable. Instead, the groups are defined by the columns

Area fills on this graph are created by checking the Show Area Fill box for each line in the Format graph dialog. Double-click on a line to open the dialog.

How the data are arranged Each row represents a different person. Each column is a different variable measured in that person. The goal To use multiple regression to find a model that predicts the glycosylated hemoglobin from the other variables. Data source: This is a subset of columns from the Diabetes data set, part of a collection of sample d...

One-way ANOVA Two-way ANOVA Dependent Variable Compare Means Multiple Comparisons Tamhane’s T2 EM Means

Bell-shaped Least squares fit Since you chose asymmetric CIs (as recommended), it doesn’t make sense to also show the SE of each parameter. If you recompute these results, the SE values will no longer be shown.

To create a Bland-Altman plot, which graphs the difference between the two columns vs. their average. Example from Altman (1991), Practical Statistics for Medical Researchers (page 398).

These data represent the fate of every passenger on board the RMS Titanic which sank in the Northern Atlantic Ocean in April of 1912 after striking an iceberg. How the data are arranged Each row represents a different passenger on board the Titanic. Each column is a different variable that describes that passenger. Note that some column titles ask...

How the data are arranged Each row represents a different patient. Each column is a different variable measured for that patient. The number of tumor recurrences for each patient is given in the first column. The second column indicates the group to which each patient was assigned, coded as a 1 for the treatment group or a 0 for the placebo group....

Start with Prism Column Analysis XY Analysis Pharmacology Grouped Analysis Contingency Survival Analysis Parts of whole Multiple Variables Nested Analysis

It is well-known that usually symmetric distributions are not suitable for modeling all type of data. Therefore, probability distributions that are more flexible than the symmetric distributions are oen needed in statistical modeling. Since statistical inference based on the normal distribution is sensitive to outliers and errors that have a heavi...

ANOVA & MANCOVA

Statistical distribution & Parameter Estimation

Statistical Analysis with GraphPad Prism V8

Advanced Statistical Methods and Applications' Book in 10 chapters, three attachments and 574 pages has been published. The aim of the author is that in addition to learning theory and statistical methods, how to use SPSS and Minitab software for Statistical analysis also consider and take action. The author has tried to use the software to be lear...

Statistical Comparisons Paired or unpaired t tests. Reports P values and confidence intervals. Automatically generate volcano plot (difference vs. P value) from multiple t test analysis. Nonparametric Mann-Whitney test, including confidence interval of difference of medians. Kolmogorov-Smirnov test to compare two groups. Wilcoxon test with confiden...

Statistical Comparisons  Paired or unpaired t tests. Reports P values and confidence intervals.  Automatically generate volcano plot (difference vs. P value) from multiple t test analysis.  Nonparametric Mann-Whitney test, including confidence interval of difference of medians.  Kolmogorov-Smirnov test to compare two groups.  Wilcoxon test wit...

IC50, EC50, Hill Slop, Bottom, Top

One of the most important statistical findings in pharmacology research and pharmacology studies is to find and estimate EC50 and IC50 parameters as a dose response model. We answered this question in this study. The model obtained was based on the best estimates obtained from the sophisticated statistical analysis.

Discriminate Analysis with SPSS

Cluster analysis with SPSS

G r a p h P a d P r i s m S P S S & E v i w e s R & C l e m a n t i n e S A S & A m o s E x p e r t C h o i c e M i n i t a b & S m a r t P L S X e p e r s i a n & L a t e x M a p l e & M a t l a b C a n v a & P l o t l y S m a r t T o p s i s S t a t a & G I S S p l u s

This article focuses on the important issue of the existence of old laws and restrictions on the establishment of pharmacies in the country. We have been studying the evolution of the country's demographic and economic indicators since the drafting of the law in 1334, when the population living in rural areas and small towns has fallen sharply and...

It is well-known that usually symmetric distributions are not suitable for modeling all type of data. Therefore, probability distributions that are more flexible than the symmetric distributions are often needed in statistical modeling. Since statistical inference based on the normal distribution is sensitive to outliers and errors that have a heav...

In this Paper, Economic Participation Rate from 1956 to summer 2014 is investigated. In addition, changes of the population rate and the country Potentially Active Population in 10 years and later are studied. According to emphasize on the Economic Participation Rate and effective factors on this rate and it's future changes, the factors are divide...

More details on https://graphpad.ir/fishers-exact-test-graphpad-prism/

In the present research, age and sex population structures are introduced as the long-term effective factors on Economic Participation Rate. Mid-term factors are laid inside the population and include longer cultural, social and economic factors such as lifestyles and the pattern changes, the role of women on society and men or women education. Sho...

The Hardy–Weinberg principle, also known as the Hardy–Weinberg equilibrium, model, theorem, or law, states that allele and genotype frequencies in a population will remain constant from generation to generation in the absence of other evolutionary influences. I've designed software to calculate the Hardy-Weinberg equilibrium.

Data Description, Graphs & Tables, Descriptive Statistics, Probability and its Application, Normal Distribution, Sampling and Sample Size Estimation, Parametric & Non-parametric Tests, Statistics Inference, Statistical Results, Correlation, Linear & Nonlinear Regression, Logistic Regression, Factor Analysis, Missing Values, Durbin-Watson Test, Infl...

در این مقاله در ابتدا به تعریف نرخ مشارکت اقتصادی و بررسی اندازه‌های آن از سال 1335 تا تابستان 1393 پرداخته شده است. همچنین روند تغییرات جمعیت بالای 10 سال و همچنین جمعیت فعال کشور مورد بررسی قرار گرفته است و معادله‌های روند به دست می‌آید. از آن‌جایی که هدف مقاله تکیه بر نرخ مشارکت اقتصادی، عوامل تاثیرگذار بر روندهای آن و آینده می‌باشد، مولفه‌های ا...

201 patients with chief complaint of dysmenorhea and dysparuenea (measured by verbal analog scale) were referred to our center for laparoscopic surgery. The expected difficulty of the surgery besides difficulty and complication score of the surgery scored for each patient were defined (0=the least difficulty or complications and 10=the greatest dif...

The Kruskal-Wallis H test (sometimes also called the ”one-way ANOVA on ranks”) is a rank-based nonparametric test that can be used to determine if there are statistically significant differences between two or more groups of an independent variable on a continuous or ordinal dependent variable.

The Kruskal-Wallis H test (sometimes also called the ”one-way ANOVA on ranks”) is a rank-based nonparametric test that can be used to determine if there are statistically significant differences between two or more groups of an independent variable on a continuous or ordinal dependent variable.

Graphs & Tables Parametric & Non-parametric Tests Design of Experimental Goodness of Fit Test Linear & Nonlinear Regression

The findings of this study show that non-discogenic causes of radicular LBP are common among patients with radicular LBP. The prevalence of these causes is similar to their reported prevalence among patients with non-radicular LBP. These findings suggest that evaluation of non-discogenic conditions in the presence of radicular LBP is indicated. Nev...

Survey data show that from 1956 to 2016 in men's labor and employment, positive economic growth, low inflation, higher wage growth than inflation and lack of income without work, Developmental factors were the increase in the fertility rate. Given these findings it is important that the 60-year period studied, the increase in women's employment has...

Survey data show that from 1956 to 2016 in men's labor and employment, positive economic growth, low inflation, higher wage growth than inflation and lack of income without work, Developmental factors were the increase in the fertility rate. Given these findings it is important that the 60-year period studied, the increase in women's employment has...

Data Description, Graphs & Tables, Descriptive Statistics, Probability and its Application, Normal Distribution, Sampling and Sample Size Estimation, Parametric & Non-parametric Tests, Statistics Inference, Statistical Results, Correlation, Linear & Nonlinear Regression, Logistic Regression, Factor Analysis, Missing Values, Durbin-Watson Test, Infl...

Survey data show that from 1956 to 2016 in men's labor and employment, positive economic growth, low inflation, higher wage growth than inflation and lack of income without work, Developmental factors were the increase in the fertility rate. Given these findings it is important that the 60-year period studied, the increase in women's employment has...

Result: The findings showed the variable of divorce rate had negative and significant impact on TFR (P_value Conclusion: Due to the lower impact of the studied factors on the reduction of TFR, it sounds that other variables out of the studied ones, as well as cultural factors and values might also be fundamental reasons for this change in the count...

This paper is to investigate a procedure to support citizen’ rights and all information technology shareholders considering the proliferating expansion of IT development in IT field. Due to the fact that taking legislators’ attitudes and properties into account is also the principle duties of information technology regulation, This paper aims to re...

Extension of Slash distribution by extreme value distribution

It is well-known that usually symmetric distributions are not suitable for modeling all type of data. Therefore, probability distributions that are more flexible than the symmetric distributions are oen needed in statistical modeling. Since statistical inference based on the normal distribution is sensitive to outliers and errors that have a heavi...

This paper is to investigate a procedure to support citizen’ rights and all information technology shareholders considering the proliferating expansion of IT development in IT field. Due to the fact that taking legislators’ attitudes and properties into account is also the principle duties of information technology regulation, This paper aims to re...

In this Paper, Economic Participation Rate from 1956 to summer 2014 is investigated. In addition, changes of the population rate and the country Potentially Active Population in 10 years and later are studied. According to emphasize on the Economic Participation Rate and effective factors on this rate and it's future changes, the factors are divide...

Data Description, Graphs & Tables, Descriptive Statistics, Probability and its Application, Normal Distribution, Sampling and Sample Size Estimation, Parametric & Non-parametric Tests, Statistics Inference, Statistical Results, Correlation, Linear & Nonlinear Regression, Logistic Regression, Factor Analysis, Missing Values, Durbin-Watson Test, Infl...

The fertility behavior of Iranian women and their reproductive needs is changing and consequently, for providing good services, it is critical to monitor their reproductive behavior at a national level. This study was carried out by Avicenna Research Institute in the urban and rural parts of Iran between 2010 and 2011. Using cluster sampling, the...