pvalue_io

This page aims to describe the methodological choices regarding both the selection of variables and their modeling. This page is technical. The R code corresponding to the descriptions below is available here. Variable selection Definitions We differentia

One typology of statistical analyses is based on their purpose: Descriptive analyses, to describe the variables, either individually (descriptive statistics), or by cross-tabulating them with another variable (by performing univariables analyses) Explanat

The purpose of this page is to describe the methodological choices regarding the tests performed on pvalue.io. This page is technical, and is intended for users wondering why one test is performed rather than another. The corresponding R code is available

First of all, it is important to be aware that no statistical software guarantees the results it provides, even the most widely used software (including Excel). pvalue.io is still new. It is a graphical interface to R, which is a reference statistical ana

Several steps are necessary to perform an explanatory analysis: Elicit the research hypothesis Select the response (explained) variable Y Select the main explanatory variable X Identify the covariates Check that the conditions are met Check the robustness

Statistics are often considered complex and far from daily clinical practice. Legitimately, as a doctor or student, one may wonder whether it is useful to learn biostatistics and to perform statistical analyses by oneself. Learn statistics? It is quite po

When the response variable is binary and it is possible to switch permanently from one state to another, we can carry out survival analyses This type of analysis can take into account the lost to follow-up The most commonly used statistical model for surv

It is necessary to have a basic knowledge of the use of Excel to be able to create new columns. Be careful, it is useless and not recommended to transform numerical variables (e. g. age) to create categories ( 55 for instance) because this leads to a loss

Essential concepts Excel is organized as a table, containing rows, columns and their intersection: the cells. The rows are numbered, the columns are identified by a letter (for example the 3rd column is cell C). A cell is referred to by its column letter

You have a study to carry out? Great! We have prepared a list of 10 rules to follow in order to make your data analyzable by a statistical software. Which data entry software to choose? First of all, you will need to define on which file format you will i