Phase‐I monitoring of log‐linear model‐based processes (a case study in health care: Kidney patients)

Kamranrad, Reza; Amiri, Amirhossein; Niaki, Seyed Taghi Akhavan

doi:10.1002/qre.2474

Cited by 3 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nevertheless, they proposed a prospective study. Kamranrad, Amiri, and Niaki [31] performed a case study in health care and, categorized the kidney patient according to sex and age also, but it was rather different than DEA. They developed two approaches which are characterized by log-linear models to monitor multivariate categorical processes based on the contingency tables in Phase-I.…”

Section: Statistical Evaluationmentioning

confidence: 99%

An Innovative Study to Evaluate the Treatment Efficiency of Percutaneous Nephrolithotomy by DEA

Karaibrahimoğlu¹,

SA²,

Gölcükcü³

2021

Journal of Biostatistics and Biometric Applications

View full text Add to dashboard Cite

The aim of this study was to measure the treatment efficiency of percutaneous nephrolithotomy (PNL) patients by Data Envelopment Analysis (DEA), as a novel method with an output minimizing model. Urinary stone disease is a frequent problem with increasing prevalence in recent years. Depending on the location and size, the treatment of renal stone 2 cm or more is surgical and PNL. In this context, a retrospective study in which 154 patients with kidney stones over 2 cm was conducted. Some biochemical perioperative and postoperative characteristics of patients (Sodium (NA), potassium (K), creatinine (CRE), and hemoglobin (HB) and stone area) were analyzed. Contrary to classical DEA theory, a novel output minimization model with uncontrollable output was proposed, then Malmquist analysis was used to find out the difference between patients according to gender and age. The decomposition of the index revealed that no remarkable difference within decision-making units clearly, however between age and gender groups the results were quite different. This is a new research concept, and it can be suggested to develop alternative treatment modalities for PNL by gender, age, or various groups.

show abstract

Section: Statistical Evaluationmentioning

confidence: 99%

An Innovative Study to Evaluate the Treatment Efficiency of Percutaneous Nephrolithotomy by DEA

Karaibrahimoğlu¹,

SA²,

Gölcükcü³

2021

Journal of Biostatistics and Biometric Applications

View full text Add to dashboard Cite

show abstract

“…Recent studies of log-linear models in health analysis include Bucchi et al, (2019), Voumard et al, (2019), Gautam et al, (2019, Kamranrad et al, (2019), Lin et al (2019) and Wiseman et al, (2019). The last two have some relevance to poisoning: Mercury for Wiseman et al, (2019) and Asbestos for Lin et al, (2019).…”

mentioning

confidence: 99%

The Application of Log-Linear Model to Selected Poison Patients

N.S.A.¹,

Norlida²,

Z.M.J.³

2020

ASMSJ

View full text Add to dashboard Cite

Log-linear model is a technique used to analyze the cross-classification categorical data or the contingency table. It is used to obtain the parsimony models that describe the interaction between the categorical variables in contingency tables. Log-linear models are commonly used in evaluating higher dimensional contingency tables that involves more than two categorical variables. This study focuses on analyzing data of poisoned patients from 2012 to 2014 using log-linear model. There are two model analyzed; model for demographic data of patients and model of poisoning information. For the first model, the variables involved are gender, age, race and state. Variables for the second model are circumstance of exposure, type of exposure, location of exposure, route of exposure and types of poison. Both log-linear models are developed to investigate the association between variables in the model. As a result of this study, the best model for demographic data and poisoning information are the model with three-ways interaction. For the best model of demographic data, there is an association between gender, age and race, race, gender and state as well as age, race and state. Meanwhile, the best model for poisoning information reveals that there is relationship between circumstance of exposure, route of exposure and type of poison, location of exposure, route of exposure and type of poison, circumstance of exposure, type of exposure and route of exposure, circumstance of exposure, location of exposure and route of exposure, circumstance of exposure, type of exposure and type of poison and also type of exposure, location of exposure and type of poison. Keywords: log-linear; demographic; gender; age; race; state; circumstance of exposure; type of exposure; location of exposure; route of exposure; types of poison

show abstract

An efficient charting scheme for multivariate categorical process with a sparse contingency table

Xiang

Ding

et al. 2019

Journal of Quality Technology

View full text Add to dashboard Cite

Phase‐I monitoring of log‐linear model‐based processes (a case study in health care: Kidney patients)

Cited by 3 publications

References 19 publications

An Innovative Study to Evaluate the Treatment Efficiency of Percutaneous Nephrolithotomy by DEA

An Innovative Study to Evaluate the Treatment Efficiency of Percutaneous Nephrolithotomy by DEA

The Application of Log-Linear Model to Selected Poison Patients

An efficient charting scheme for multivariate categorical process with a sparse contingency table

Contact Info

Product

Resources

About