P Value Calculator

Consider a situation in which predicted probabilities of a given event of interest are estimated using two models that share all risk factors, except for one new marker. Let us categorize the predicted probabilities based on these two models into a set of clinically meaningful ordinal categories...

This file execute the non parametric Wilcoxon test to evaluate the difference between paired (dependent) samples. If the number of difference is less than 15, the algorithm calculate the exact ranks distribution; else it uses a normal distribution approximation.Now, the MatLab function SIGNRANK...

This file executes the non parametric Mann-Whitney-Wilcoxon test to evaluate the difference between unpaired samples. If the number of combinations is less than 20000, the algorithm calculate the exact ranks distribution; else it uses a normal distribution approximation. The result is not...


Platforms: Matlab

H = COCHRANQTEST(X) performs the non-parametric Cochran's Q-test on the hypothesis that the K columns of N-by-K matrix have the same number of successes and failures. H==0 indicates that the null hypothesis cannot be rejected at the 5 significance level. H==1 indicates that the null hypothesis...


Platforms: Matlab

This m-file performs the conditional as well as the Chi-squared corrected for discontinuity McNemar's exact test for two dependent (correlated) samples that can occur in matched-pair studies with a dichotomous (yes-no) response. Dependent samples can also occur when the same subject is measured...


Platforms: Matlab

Whilst box plots have their place, it's sometimes nicer to see all the data making up a distribution rather than hiding them with summary statistics such as the inter-quartile range. This function (with a tongue in cheek name) addresses this problem. To the best of my knowledge there aren't...


Platforms: Matlab

This file, as the Fisher's exact test, performs the exact probability test for a table of frequency data cross-classified according to two categorical variables, each of which has two levels or subcategories (2x2). It is a non-parametric statistical test used to determine if there are nonrandom...


Platforms: Matlab

This function can calculate any of the 6 different ICCs defined by McGraw as well as their confidence intervals. In addition a hypothesis test is performed with the null hypothesis that ICC = r0. This function calls anova_rm (provided inside the zip file).Syntax:[r, LB, UB, F, df1, df2, p] =...


Platforms: Matlab

The Huynh-Feldt epsilon its a correction of the Greenhouse-Geisser epsilon.This due that the Greenhouse-Geisser epsilon tends to underestimate epsilon when epsilon is greater than 0.70 (Stevens, 1990). An estimated epsilon = 0.96 may be actually 1. Huynh-Feldt correction is less conservative. The...


Platforms: Matlab

Chi-square tests of homogeneity and independence.Computes the P-value for I x J - table row/col independence.Ref.: DeltaProt toolbox at http://services.cbu.uib.no/software/deltaprot/Input:X: data matrix (I x J -table) of the observed frequency cells.method: 'RC': Read-Cressie power divergence...


Platforms: Matlab

GlobalTrends- Homogeneity tests for multiple seasons and stations. This function will test for trends when seasonality is present and over multiple observation stations, all of which are Chi-square statistics. There are so many statistical tests being done, this function is more like a script or...


Platforms: Matlab

The Friedman test is a non-parametric statistical test developed by the U.S. economist Milton Friedman. Similar to the parametric repeated measures ANOVA, it is used to detect differences in treatments across multiple test attempts. The procedure involves ranking each row (or block) together,...


Platforms: Matlab

Compares probabilities of two binomial samples X, Y from a Bernoully experiments with probability p1 for set X and p2 for set YTest the null hypothesis H_0: p1 = p2 vs alternatives H_1: p1 > p2 H_2: p1 < p2 H_3: p1 != p2 Input: X - row of 0 or 1 Y - row of 0 or 1 Output: z - normal statistics...


Platforms: Matlab

As you know, the Student t-test can be used only to compare two groups. When you have k groups you can't use a t-test for each couple because, if you have fixed alpha=0.05 for each t-test, there is a probability of k*0.05 to find a difference when it isn't (Bonferroni inequality).The Holm-Sidak...


Platforms: Matlab

This function executes the analysis of variance when subjects underwentseveral treatments. This function is similar to ANOVA2 Matlab Function,but there are three differences:1) the output of ANOVA table;2) the graphical plot of anova table;3) if p-value


Platforms: Matlab

In statistics, the Kruskald-deOCtWallis one-way analysis of variance by ranks (named after William Kruskal and W. Allen Wallis) is a non-parametric method for testing equality of population medians among groups. It is identical to a one-way analysis of variance with the data replaced by their...


Platforms: Matlab

Henze and Zirkler (1990) introduce a multivariate version of the univariate There are many tests for assessing the multivariate normality in the statistical literature (Mecklin and Mundfrom, 2003). Unfortunately, there is no known uniformly most powerful test and it is recommended to perform...


Platforms: Matlab

This test has been implemented according to Jennrich (1970). It is a Chi2 based test for overall correlation matrix eqality, for two independent correlation matrices. It computes the Chi2 value, degrees of freedom and the p value. Three files are included in the package.


Platforms: Matlab

CHISQUARECONT takes as input a 2x2 matrix that represents a 2x2 contingency table andcalculates the probability of obtaining the observed and each of the more extreme tablesbased on the pearson chi square test which is based on the chi square distribution. Thechi square test might become...


Platforms: Matlab

Anderson and Darling (1952, 1954) introduced a goodness-of-fit statistic to test the hypothesis that a random sample comes from a continuous population with a specified distribution function. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than the K-S...


Platforms: Matlab