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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