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2. Matching (statistics) - Wikipedia

   en.wikipedia.org/wiki/Matching_(statistics)

   The goal of matching is to reduce bias for the estimated treatment effect in an observational-data study, by finding, for every treated unit, one (or more) non-treated unit(s) with similar observable characteristics against which the covariates are balanced out (similar to the K-nearest neighbors algorithm).

3. Propensity score matching - Wikipedia

   en.wikipedia.org/wiki/Propensity_score_matching

   SPSS: A dialog box for Propensity Score Matching is available from the IBM SPSS Statistics menu (Data/Propensity Score Matching), and allows the user to set the match tolerance, randomize case order when drawing samples, prioritize exact matches, sample with or without replacement, set a random seed, and maximize performance by increasing ...

4. Record linkage - Wikipedia

   en.wikipedia.org/wiki/Record_linkage

   Record linkage (also known as data matching, data linkage, entity resolution, and many other terms) is the task of finding records in a data set that refer to the same entity across different data sources (e.g., data files, books, websites, and databases).

5. Conditional logistic regression - Wikipedia

   en.wikipedia.org/wiki/Conditional_logistic...

   In fact, it can be shown that the unconditional analysis of matched pair data results in an estimate of the odds ratio which is the square of the correct, conditional one. [2] In addition to tests based on logistic regression, several other tests existed before conditional logistic regression for matched data as shown in related tests. However ...

6. McNemar's test - Wikipedia

   en.wikipedia.org/wiki/McNemar's_test

   McNemar's test is a statistical test used on paired nominal data.It is applied to 2 × 2 contingency tables with a dichotomous trait, with matched pairs of subjects, to determine whether the row and column marginal frequencies are equal (that is, whether there is "marginal homogeneity").

7. Predictive mean matching - Wikipedia

   en.wikipedia.org/wiki/Predictive_mean_matching

   Predictive mean matching (PMM) [1] is a widely used [2] statistical imputation method for missing values, first proposed by Donald B. Rubin in 1986 [3] and R. J. A. Little in 1988. [ 4 ] It aims to reduce the bias introduced in a dataset through imputation, by drawing real values sampled from the data. [ 5 ]

8. College Football Playoff: Which teams are in position for the ...

   www.aol.com/sports/college-football-playoff...

   The College Football Playoff cake is getting close to baked, which means much of the angst and anger of the past few weeks over hypothetical and projected scenarios have proved a waste of time.

9. Exact statistics - Wikipedia

   en.wikipedia.org/wiki/Exact_statistics

   Exact statistics, such as that described in exact test, is a branch of statistics that was developed to provide more accurate results pertaining to statistical testing and interval estimation by eliminating procedures based on asymptotic and approximate statistical methods.