Applying of risk adjusted cusum control chart monitoring of medical information
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Applying of risk-adjusted CUSUM control chart monitoring of medical information. Zi-Hsuan Chen Advisor : Jing- Er Chiu, Ph.D. Contents. Research Reason. Research P urposes. Research F ramework. ARL. Time conditions. CUSUM. CUSUM. ARL. Logistic Model. Cox Model. Shoulder surgery.

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Applying of risk-adjusted CUSUM control chart monitoring of medical information

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Applying of risk adjusted cusum control chart monitoring of medical information

Applying of risk-adjusted CUSUM control chart monitoring of medical information

Zi-HsuanChen

Advisor: Jing-Er Chiu, Ph.D.


Contents

Contents


Research reason

Research Reason


Research p urposes

Research Purposes


Research f ramework

Research Framework

ARL

  • Time conditions

CUSUM

CUSUM

ARL

Logistic Model

Cox Model

Shoulder surgery


Limitations of research

Limitations of Research

  • Biswas ed.(2008)


Cusum control chart

CUSUMControl Chart

Proposed by Page(1954)

Small process shifts


Applying of risk adjusted cusum control chart monitoring of medical information

Applying Of CUSUM Control Chart In Medical


Logistic regression

Logistic Regression

Observed outcome can have only two possible

Failure

Success

Source : Wikipedia


Applying of risk adjusted cusum control chart monitoring of medical information

  • Applying Of Logistic Regression In Medical


Cox ph model

Cox PH Model

Use survival time

Proposed by Cox(1972)

Use the Logistic Model Method and Cox Model Method to compare the result ,which can quickly detect the patient has a shoulder joint shift or death situation.

  • Applying Of Cox Model In Medical


Research process

Research Process

  • Calculate and Simulation

Collection and Simulation of patient information

  • Establish

  • Cox Model

Establish

Logistic Model

  • CUSUM control chart

Notation and Assumptions

  • Calculate ARL

  • Comparative analysis

  • Conclusion


O bject o f s tudy and assumptions

Object Of Study And Assumptions


O bject o f s tudy and assumptions1

Object Of Study And Assumptions


Logistic model in cusum

Logistic Model in CUSUM

  • Monitoring probability of Yt

  • Binary data is transformed into probability

  • Establish a Logistic Regression Model

  • Find the significant factor

  • Calculate the weight value

  • Steiner et al.(2000)

  • Draw CUSUM control chart


Cox model in cusum

Cox Model in CUSUM

  • Monitoring probability of Yt

  • Yt of time conditions convert the probability of occurrence

  • Establish a Cox Regression Model

  • Find the significant factor

  • Calculate the weight value

  • Biswas ed.(2008)

  • Draw CUSUM control chart


Simulation arl steps logistic model

Simulation ARL steps (Logistic Model )

  • Simulate number of samples N

  • calculation the patient t the surgery the probability of failure

  • is true

  • To draw CUSUM control chart , and monitoring control chart

  • In control

  • Randomly generated patient after surgery results

Out –of-control

⇒ARL1

  • is true

  • is true

  • is true

  • Steiner et al.(2000)


Simulation arl steps cox model

Simulation ARL steps(Cox Model )

  • Calculate significant factor and Hazard ratio 。

  • Simulate number of samples N , added time's condition

  • is true

  • To draw CUSUM control chart , and monitoring control chart

  • Randomly generated patient after surgery results

  • In control

Out –of-control

⇒ARL1

  • is true

  • is true

  • is true

  • W

  • Biswas ed.(2008)


Expected results

Expected Results


Future research

Future Research


The end

- The end -


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