Shaken Baby Syndrome: Exploring Concerns about the ‘Triad’ Diagnosis and Its Statistical Validation Using a Causal Bayesian Network

Scott McLachlan; Norman Fenton

Shaken Baby Syndrome: Exploring Concerns about the ‘Triad’ Diagnosis and Its Statistical Validation Using a Causal Bayesian Network

Scott McLachlan, Norman Fenton

Digital Health & Applied Tech Assessment

Queen Mary University of London

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

131 Downloads (Pure)

Original language	English
Title of host publication	Science: Shaken Baby Syndrome
Chapter	17
Pages	259
Number of pages	274
Publication status	Accepted/In press - 22 Nov 2022

Keywords

Shaken Baby Syndrone
Abusive head trauma
Bayesian methods
legal decision-making

Access to Document

SBS Book Chapter - Fenton & McLachlan

Cite this

@inbook{f974746d21be4b59acb27ce883210e34,

title = "Shaken Baby Syndrome: Exploring Concerns about the {\textquoteleft}Triad{\textquoteright} Diagnosis and Its Statistical Validation Using a Causal Bayesian Network",

keywords = "Shaken Baby Syndrone, Abusive head trauma, Bayesian methods, legal decision-making",

author = "Scott McLachlan and Norman Fenton",

year = "2022",

month = nov,

day = "22",

language = "English",

pages = "259",

booktitle = "Science: Shaken Baby Syndrome",

}

TY - CHAP

T1 - Shaken Baby Syndrome: Exploring Concerns about the ‘Triad’ Diagnosis and Its Statistical Validation Using a Causal Bayesian Network

AU - McLachlan, Scott

AU - Fenton, Norman

PY - 2022/11/22

Y1 - 2022/11/22

KW - Shaken Baby Syndrone

KW - Abusive head trauma

KW - Bayesian methods

KW - legal decision-making

M3 - Chapter

SP - 259

BT - Science: Shaken Baby Syndrome

ER -