Site map for MedicalStat

This is an overview of all the content, tools and functionalities of the site MedicalStat.org

Home page:

• MedicalStat Home

Statistical apps, tools and calculators:

• Calculate Proportions for 1 or more groups
• Calculate Risk and Odds plus Risk Ratio, Odds Ratio from a 2 x 2 table
• Calculate Sensitivity and Specificity plus similar concepts
• Calculate Confidence Interval / Prediction Interval for mean, proportion and slope
• Calculate Incidence Rate for 1 or more group and compare rates
• Calculate Incidence Rate Ratio between two groups
• Calculate Weighted Average of estimates like RR, OR, IRR, means
• Calculate Power and Sample Size of a research study

Statistical tests:

• Test whether two mean values could be assumed equal or are significantly different
• Compare two Estimates, both estimates that require and estimates don't require log transformation
• Perform a Chi Square Test to test for independence between two variables
• Perform a Goodness of Fit Test to see if an observation corresponds to a given distribution
• Perform a Mann-Whitney (Wilcoxon) U Test to see whether two samples, that are not normally distributed, could be assumed equal
• Do a log-rank test to test whether the hazard rates of two groups could be assumed equal in a survival analysis

Stratification into two or more strata in order to check for / adjust for effect modification or confounding:

• Regular Stratified Analysis using concepts like Risk Ratio, Odds Ratio, Incidence Rate Ratio and Mean Difference
• Stratified Analysis using the method known as Mantel-Haenszel OR

Calculation of table p-values, z-values, t-values, ... etc. for specific probability density functions:

• Find table values for z-distribution, t-distribution, f-distribution, chi-square-distribution

Statistical formulas used in particular within the fields of Medical Statistics, Bio Statistics and Epidemiology:

• Formulas within Medical Statistics

Data Analysis (calculation of statistical concepts like mean, variance, standard deviation, ... from data text file) and test to see whether the two samples' mean values could be assumed equal. Both with a z-test and a t-test. And also test if the variances could be equal with an F-test:

• Perform Data Analysis on two samples

Regression Analysis (performing multivariable regression from uploaded text file or copy-pasted data). Both linear regression as well as logistic regression:

• Perform Linear Regression Analysis on a Y variable and 1 or more X variables
• Perform Logistic Regression Analysis on a binary Y variable (that can have the values 0 or 1) and 1 or more X variables

Survival Analysis: From input data, compare the calculated Kaplan-Meier survival curves between two or more groups to see if they are different and also get to see the life tables and Kaplan-Meier estimates for the groups and calculate the Mantel-Cox hazard ratio together with performing the log-rank test between two groups:

• Perform Survival Analysis on 1 or more groups from data input

Drawing of Graphs and plots as a mean of data visualization in order to display an illustrative overview of your input data

• Create graphs and plots of your data either through data input or through upload of data files
• Draw graphs and plots in connection with performing regression on your data

About page, disclaimer:

• About

Links to useful things within Medical Statistics, Maths or Statistics in general that have been used making these tools:

• Links