Logit

Logit:

Logit is a nonlinear function of probability. If p is the probability of an event, then the corresponding logit is given by the formula:

logit(p) = log

p

(1 - p)

Logit is widely used to construct statistical models, for example in logistic regression .

See also: Logit Models , Logit and Odds Ratio .

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Biostatistics 2 – For Medical Science and Public Health

This course will teach you clinical trial designs including randomized controlled trials, ROC curves, CI and tests for relative risk and odds ratio, and an introduction to survival analysis.

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This course will teach you the analysis of contingency table data. Topics include tests for independence, comparing proportions as well as chi-square, exact methods, and treatment of ordered data. Both 2-way and 3-way tables are covered.

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This course will explain the theory of generalized linear models (GLM), outline the algorithms used for GLM estimation, and explain how to determine which algorithm to use for a given data analysis.

Logit

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