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Missing data

Index Missing data

In statistics, missing data, or missing values, occur when no data value is stored for the variable in an observation. [1]

22 relations: Bias, Censoring (statistics), Data, Data analysis, Dummy variable (statistics), Economics, Expectation–maximization algorithm, Imputation (statistics), Interpolation, Inverse probability weighting, Listwise deletion, London School of Hygiene & Tropical Medicine, Markov chain, Matrix completion, Maximum likelihood estimation, Political science, Power (statistics), Robust statistics, Sociology, Statistics, Value (mathematics), Variable (mathematics).

Bias

Bias is disproportionate weight in favour of or against one thing, person, or group compared with another, usually in a way considered to be unfair.

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Censoring (statistics)

In statistics, engineering, economics, and medical research, censoring is a condition in which the value of a measurement or observation is only partially known.

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Data

Data is a set of values of qualitative or quantitative variables.

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Data analysis

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

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Dummy variable (statistics)

In statistics and econometrics, particularly in regression analysis, a dummy variable (also known as an indicator variable, design variable, Boolean indicator, binary variable, or qualitative variable) is one that takes the value 0 or 1 to indicate the absence or presence of some categorical effect that may be expected to shift the outcome.

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Economics

Economics is the social science that studies the production, distribution, and consumption of goods and services.

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Expectation–maximization algorithm

In statistics, an expectation–maximization (EM) algorithm is an iterative method to find maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables.

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Imputation (statistics)

In statistics, imputation is the process of replacing missing data with substituted values.

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Interpolation

In the mathematical field of numerical analysis, interpolation is a method of constructing new data points within the range of a discrete set of known data points.

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Inverse probability weighting

Inverse probability weighting is a statistical technique for calculating statistics standardized to a population different from that in which the data was collected.

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Listwise deletion

In statistics, listwise deletion is a method for handling missing data.

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London School of Hygiene & Tropical Medicine

The London School of Hygiene & Tropical Medicine (informally the LSHTM) is a public research university on Keppel Street, Bloomsbury, Camden, London, and specialised in public health and tropical medicine and a constituent college of the University of London.

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Markov chain

A Markov chain is "a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event".

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Matrix completion

Matrix completion is the task of filling in the missing entries of a partially observed matrix.

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Maximum likelihood estimation

In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model, given observations.

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Political science

Political science is a social science which deals with systems of governance, and the analysis of political activities, political thoughts, and political behavior.

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Power (statistics)

The power of a binary hypothesis test is the probability that the test correctly rejects the null hypothesis (H0) when a specific alternative hypothesis (H1) is true.

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Robust statistics

Robust statistics are statistics with good performance for data drawn from a wide range of probability distributions, especially for distributions that are not normal.

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Sociology

Sociology is the scientific study of society, patterns of social relationships, social interaction, and culture.

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Statistics

Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.

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Value (mathematics)

In mathematics, value may refer to several, strongly related notions.

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Variable (mathematics)

In elementary mathematics, a variable is a symbol, commonly an alphabetic character, that represents a number, called the value of the variable, which is either arbitrary, not fully specified, or unknown.

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Redirects here:

MCAR, Missing at random, Missing completely at random, Missing value, Missing values, Missingness.

References

[1] https://en.wikipedia.org/wiki/Missing_data

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