[Durgical](https://durgical.com/en/) › [DurgiPedia](https://durgical.com/en/durgipedia/) › [Epidemiology](https://durgical.com/en/epidemiology/) › Biostatistics

# Biostatistics

Data and distributions, hypothesis testing, p values, confidence intervals, power, sample size and statistical tests.

24 pages

## Statistical test

- [**Analysis of variance (ANOVA)** It compares the means of three or more groups at once, in a single test, without inflating the…](https://durgical.com/en/epidemiology/analysis-of-variance/)
- [**Chi-square test** It compares proportions between groups by measuring how far the observed counts are from those…](https://durgical.com/en/epidemiology/chi-square-test/)
- [**Linear regression** It fits a straight line that predicts one numerical variable from another](https://durgical.com/en/epidemiology/linear-regression/)
- [**Logistic regression** It models a yes-or-no outcome from several variables and gives odds ratios (OR) adjusted for the…](https://durgical.com/en/epidemiology/logistic-regression/)
- [**McNemar test** It compares two proportions measured in the same people (before and after) or in matched pairs](https://durgical.com/en/epidemiology/mcnemar-test/)
- [**Non-parametric tests** Tests that compare groups using the order of the data (ranks) instead of their values, useful…](https://durgical.com/en/epidemiology/non-parametric-tests/)
- [**Student's t test** It compares two means and says whether the gap between them is larger than chance would explain](https://durgical.com/en/epidemiology/student-s-t-test/)

## Concept

- [**Choosing a statistical test** The test is chosen with four questions: what type of outcome, how many groups, independent or…](https://durgical.com/en/epidemiology/choosing-a-statistical-test/)
- [**Hypothesis testing** Start by assuming there is no difference, then check whether the data would be rare enough under…](https://durgical.com/en/epidemiology/hypothesis-testing/)
- [**Multiple comparisons** The more tests are run, the easier it is for one to come out significant by chance alone](https://durgical.com/en/epidemiology/multiple-comparisons/)
- [**Non-response, losses and missing data** When some participants' data are missing, the result can shift](https://durgical.com/en/epidemiology/non-response-losses-and-missing-data/)
- [**Normal distribution** The bell curve: symmetric, with mean, median and mode equal, and fixed shares of the data within…](https://durgical.com/en/epidemiology/normal-distribution/)
- [**P value** The p value says how surprising the data would be if there really were no difference](https://durgical.com/en/epidemiology/p-value/)
- [**Sample size** How many people are needed to detect the effect that matters with the accepted risk of error](https://durgical.com/en/epidemiology/sample-size/)
- [**Skewed distributions** When data have a long tail on one side, the mean drifts toward the tail and stops describing the…](https://durgical.com/en/epidemiology/skewed-distributions/)
- [**Statistical analysis plan** Writing down, before seeing the data, how they will be cleaned, described and analysed, so the…](https://durgical.com/en/epidemiology/statistical-analysis-plan/)
- [**Statistical power** Power is the probability that a study detects an effect that truly exists](https://durgical.com/en/epidemiology/statistical-power/)
- [**Statistical vs clinical significance** A statistically significant result does not mean it matters to the patient](https://durgical.com/en/epidemiology/statistical-vs-clinical-significance/)
- [**Type I and type II errors** Type I error: seeing a difference that does not exist (false positive)](https://durgical.com/en/epidemiology/type-i-and-type-ii-errors/)
- [**Types of variables** Every piece of data has a type: unordered categories, ordered categories, counts or measurements](https://durgical.com/en/epidemiology/types-of-variables/)

## Measure

- [**Confidence interval** A range of values for the true value that are compatible with the data](https://durgical.com/en/epidemiology/confidence-interval/)
- [**Correlation** It measures how closely two numerical variables rise or fall together, from −1 to +1](https://durgical.com/en/epidemiology/correlation/)
- [**Measures of centre and spread** Mean, median and mode tell where the centre of the data lies; range, interquartile range and…](https://durgical.com/en/epidemiology/measures-of-centre-and-spread/)
- [**Standard error** The standard error measures how much the mean would vary if the study were repeated on another…](https://durgical.com/en/epidemiology/standard-error/)

## A to Z

- [A](https://durgical.com/en/epidemiology/a-z/a/)
- [B](https://durgical.com/en/epidemiology/a-z/b/)
- [C](https://durgical.com/en/epidemiology/a-z/c/)
- [D](https://durgical.com/en/epidemiology/a-z/d/)
- [E](https://durgical.com/en/epidemiology/a-z/e/)
- [F](https://durgical.com/en/epidemiology/a-z/f/)
- [G](https://durgical.com/en/epidemiology/a-z/g/)
- [H](https://durgical.com/en/epidemiology/a-z/h/)
- [I](https://durgical.com/en/epidemiology/a-z/i/)
- [K](https://durgical.com/en/epidemiology/a-z/k/)
- [L](https://durgical.com/en/epidemiology/a-z/l/)
- [M](https://durgical.com/en/epidemiology/a-z/m/)
- [N](https://durgical.com/en/epidemiology/a-z/n/)
- [O](https://durgical.com/en/epidemiology/a-z/o/)
- [P](https://durgical.com/en/epidemiology/a-z/p/)
- [Q](https://durgical.com/en/epidemiology/a-z/q/)
- [R](https://durgical.com/en/epidemiology/a-z/r/)
- [S](https://durgical.com/en/epidemiology/a-z/s/)
- [T](https://durgical.com/en/epidemiology/a-z/t/)
- [U](https://durgical.com/en/epidemiology/a-z/u/)
- [V](https://durgical.com/en/epidemiology/a-z/v/)
- [W](https://durgical.com/en/epidemiology/a-z/w/)
- [Y](https://durgical.com/en/epidemiology/a-z/y/)

[← Epidemiology, biostatistics and public health](https://durgical.com/en/epidemiology/)

Educational content on epidemiological and statistical methods; the examples use made-up numbers to teach the calculation. Not a clinical or legal guide: current Colombian rules are in the official sources.

Representative model, for educational purposes only.

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