Multicollinearity : Multicollinearity refers to a situation in which two or more predictor variables in a regression model are highly correlated with each other. This can lead to unstable and inaccurate coefficient estimates, as well as problems with model interpretation. One example of multicollinearity is when using multiple indicators of income in a regression model, […]

Multicentre study : A multicenter study is a type of clinical research study that is conducted at multiple locations, or centers. This type of study is typically used to evaluate the safety and effectiveness of a medical treatment, diagnostic test, or other medical intervention. Multicenter studies are often large and complex, involving many different research […]

Mplus : Mplus is a statistical software program that is commonly used for latent variable modeling, which includes a range of statistical techniques such as structural equation modeling (SEM), growth curve modeling, and multilevel modeling. Mplus allows users to fit a wide range of complex models to their data, and it offers several advantages over […]

Moving-average : Moving average is a technique used in technical analysis to smooth out short-term fluctuations in a data series and to highlight the underlying trend. It is calculated by taking the average of a certain number of past data points, typically over a specified period of time. For example, let’s say we are analyzing […]

Mosaic displays : Mosaic displays are computer displays that are made up of a grid of individual pixels, each of which can be a different color. This allows for the creation of highly detailed and complex images on the screen. One example of a mosaic display is a modern smartphone or tablet screen. These displays […]

Morbidity : Morbidity refers to the state of being unhealthy or having a disease or medical condition. It is typically used to describe the prevalence or incidence of a specific illness or condition within a population. One example of morbidity is the widespread prevalence of obesity in the United States. According to the Centers for […]

Mood’s test : Mood’s test, also known as the chi-squared test for independence, is a statistical test used to determine if there is a significant association between two categorical variables. It is commonly used in research to examine the relationship between a dependent variable and one or more independent variables. One example of using Mood’s […]

Monty Hall problem : The Monty Hall problem is a probability puzzle named after the host of the game show “Let’s Make a Deal.” The problem involves a contestant who is given the choice of three doors: behind one door is a prize, while behind the other two are goats. After the contestant picks a […]

Monte Carlo methods : Monte Carlo methods are a class of computational algorithms that use random sampling to solve mathematical problems. These methods are named after the city of Monte Carlo in Monaco, where the first random sampling experiments were conducted in the early 20th century. One example of a Monte Carlo method is the […]

Monte Carlo maximum likelihood (MCML) : Monte Carlo maximum likelihood (MCML) is a computational method used to estimate the maximum likelihood of a given set of parameters, given a set of observed data. This method uses random sampling to generate a large number of potential parameter sets, and then uses the likelihood function to evaluate […]