MLEs for Diagnostic Measures of Accuracy by Log-Linear Models for Correction of Workup Bias

Haresh Rochani; Hani M. Samawi; Robert L. Vogel; Jingjing Yin

MLEs for Diagnostic Measures of Accuracy by Log-Linear Models for Correction of Workup Bias

Biostatistics, Epidemiology & Environmental Health Sciences

Georgia Southern University

Research output: Contribution to conference › Presentation

Abstract

This presentation was given during the International Chinese Statistics Association Applied Statistics Symposium.

Original language	American English
State	Published - Jun 12 2016
Event	International Chinese Statistics Association Applied Statistics Symposium (ICSA) - Duration: Jun 12 2016 → …

Conference

Conference	International Chinese Statistics Association Applied Statistics Symposium (ICSA)
Period	06/12/16 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Disciplines

Biostatistics
Public Health

Keywords

MLE
Log-linear models
Workup bias

Cite this

@conference{82bce390546c431cb55f9cc25fe6d076,

title = "MLEs for Diagnostic Measures of Accuracy by Log-Linear Models for Correction of Workup Bias",

abstract = " This presentation was given during the International Chinese Statistics Association Applied Statistics Symposium.",

keywords = "MLE, Log-linear models, Workup bias",

author = "Haresh Rochani and Samawi, \{Hani M.\} and Vogel, \{Robert L.\} and Jingjing Yin",

year = "2016",

month = jun,

day = "12",

language = "American English",

note = "International Chinese Statistics Association Applied Statistics Symposium (ICSA) ; Conference date: 12-06-2016",

}

TY - CONF

T1 - MLEs for Diagnostic Measures of Accuracy by Log-Linear Models for Correction of Workup Bias

AU - Rochani, Haresh

AU - Samawi, Hani M.

AU - Vogel, Robert L.

AU - Yin, Jingjing

PY - 2016/6/12

Y1 - 2016/6/12

N2 - This presentation was given during the International Chinese Statistics Association Applied Statistics Symposium.

AB - This presentation was given during the International Chinese Statistics Association Applied Statistics Symposium.

KW - MLE

KW - Log-linear models

KW - Workup bias

UR - https://digitalcommons.georgiasouthern.edu/biostat-facpres/81

M3 - Presentation

T2 - International Chinese Statistics Association Applied Statistics Symposium (ICSA)

Y2 - 12 June 2016

ER -

MLEs for Diagnostic Measures of Accuracy by Log-Linear Models for Correction of Workup Bias

Abstract

Conference

UN SDGs

Disciplines

Keywords

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Cite this