Interaction : Interaction in explanatory variables occurs when the effect of one explanatory variable on the response variable depends on the value of another explanatory variable. In other words, the relationship between the response variable and one of the explanatory variables is different for different values of the other explanatory variable. For example, let’s say […]

Intention-to-treat analysis : Intention-to-treat (ITT) analysis is a statistical approach used in clinical trials to assess the effectiveness of a treatment. It involves analyzing the data of all participants in a trial, regardless of whether they received the treatment or not, or whether they completed the trial or not. One example of ITT analysis is […]

Institutional Surveys : Institutional surveys are research methods that are used to collect data from organizations and institutions. These surveys are typically conducted by researchers who are interested in understanding the policies, practices, and experiences of institutions, such as schools, hospitals, and government agencies. One example of an institutional survey is a school climate survey. […]

Infrastructure as a service (IaaS) : Infrastructure as a service (IaaS) is a type of cloud computing service that provides users with access to infrastructure resources such as computing power, storage, and networking capabilities. IaaS allows users to rent these resources on a pay-per-use basis, providing a cost-effective and scalable solution for businesses. One example […]

Informative prior : Informative priors are a type of prior probability distribution used in Bayesian statistics. Unlike non-informative priors, which provide little to no information about the likelihood of certain events or outcomes, informative priors are based on existing data or knowledge about the subject under study. This allows for more accurate predictions and inference […]

Informative censoring : Informative censoring, also known as non-random censoring, occurs when the censoring of data is not random and is influenced by the characteristics of the study population. This type of censoring can introduce bias into the results and can lead to incorrect conclusions. One example of informative censoring is when a study is […]

Information theory : Information theory is a branch of applied mathematics and electrical engineering that deals with the study of the transmission, storage, and processing of information. It was developed in the 1940s by Claude Shannon, and its fundamental concepts have had a major impact on the development of modern communications and computer systems. At […]

Influential observation : Influential observation refers to the process of observing and interpreting events, behaviors, or phenomena in a way that significantly impacts an individual’s beliefs, attitudes, or actions. It is a critical aspect of the scientific method and is used to collect data, generate hypotheses, and make decisions based on evidence. One example of […]

Influence : Influence in regression analysis refers to the extent to which an individual data point has an effect on the overall regression model. In other words, it is a measure of how much a single data point can change the coefficients of the regression model. This is important because high levels of influence can […]

Influence statistics : Influence statistics is a branch of statistics that deals with the quantification and analysis of the impact or influence of certain factors on a given phenomenon. This field of study is commonly used in various fields, such as marketing, economics, and political science, to better understand the relationships between different variables and […]