Relationship among Network Graphs Independence Assumptions Joint Distribution

Relationship among Network Graphs, Independence Assumptions & Joint Distribution Equations Farrokh Alemi, Ph. D. HEALTH INFORMATICS PROGRAM HI. GMU. EDU

P 1 P 2 Pm X C 1 HEALTH INFORMATICS PROGRAM C 2 Cn GEORGE MASON UNIVERSITY

P 1 P 2 Pm X C 1 HEALTH INFORMATICS PROGRAM C 2 Cn GEORGE MASON UNIVERSITY

P 1 P 2 Pm X C 1 HEALTH INFORMATICS PROGRAM C 2 Cn GEORGE MASON UNIVERSITY

P 1 P 2 Pm X C 1 HEALTH INFORMATICS PROGRAM C 2 Cn GEORGE MASON UNIVERSITY

P 1 P 2 Pm X C 1 HEALTH INFORMATICS PROGRAM C 2 Cn GEORGE MASON UNIVERSITY

P 1 P 2 Pm X C 1 HEALTH INFORMATICS PROGRAM C 2 Cn GEORGE MASON UNIVERSITY

P 1 P 2 Pm X C 1 HEALTH INFORMATICS PROGRAM C 2 Cn GEORGE MASON UNIVERSITY

P 1 P 2 Pm X C 1 HEALTH INFORMATICS PROGRAM C 2 Cn GEORGE MASON UNIVERSITY

P 1 P 2 Pm X C 1 HEALTH INFORMATICS PROGRAM C 2 Cn GEORGE MASON UNIVERSITY

P 1 P 2 Pm X C 1 HEALTH INFORMATICS PROGRAM C 2 Cn GEORGE MASON UNIVERSITY

P 1 P 2 Pm X C 1 HEALTH INFORMATICS PROGRAM C 2 Cn GEORGE MASON UNIVERSITY

P 1 P 2 Pm X C 1 HEALTH INFORMATICS PROGRAM C 2 Cn GEORGE MASON UNIVERSITY

P 1 P 2 Pm X C 1 HEALTH INFORMATICS PROGRAM C 2 Cn GEORGE MASON UNIVERSITY

P 1 P 2 Pm X C 1 HEALTH INFORMATICS PROGRAM C 2 Cn GEORGE MASON UNIVERSITY

Fidelity Move from a graph to independence assumptions then to equation without loss of information

Formula & Graph Correspondence S: Severity of Illness R: Do Not Resuscitate M: Provider’s Decision T: Treatment O: Outcome

Formula & Graph Correspondence S: Severity of Illness R: Do Not Resuscitate M: Provider’s Decision T: Treatment O: Outcome

Formula? S: Severity of Illness R: Do Not Resuscitate M: Provider’s Decision T: Treatment O: Outcome

Probability of an Event

Probability of an Event

Probability of an Event

Probability of an Event

Probability of an Event

Probability of an Event

What If

What If Su M m. O Va iss u ria in t bl g es

What If Calculate from Marginal Tables after Removing Missing Variables

GRAPH, FORMULAS, AND INDEPENDENCE ASSUMPTIONS INFORM EACH OTHER
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