Jonathan Sanchez

Graduate Trainee, George Mason University

2 active projects

Colorectal Cancer Causal Analysis

We will study the causation of colorectal cancer

Scientific Questions Being Studied

We will study the causation of colorectal cancer

Project Purpose(s)

  • Disease Focused Research (colorectal cancer)
  • Population Health
  • Social / Behavioral
  • Drug Development

Scientific Approaches

We will use Lasso regression and temporal analysis to study causation of the disease.

Anticipated Findings

We anticipate to find the temporal order of events leading to cancer diagnosis as well as describe the relation of these factors with each other.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

Colorectal Cancer Predictive Model

What is the effectiveness of colorectal cancer screening in predicting the incidence of colorectal cancer in a diverse population in the United States, and how does the temporal sequence of events and clusters of conditions affect the causal relationship between…

Scientific Questions Being Studied

What is the effectiveness of colorectal cancer screening in predicting the incidence of colorectal cancer in a diverse population in the United States, and how does the temporal sequence of events and clusters of conditions affect the causal relationship between screening and cancer incidence? According to the American Cancer Society, the current 5-year survival rate for localized colorectal cancer is around 90%, but this decreases to 14% for individuals with distant metastases. This highlights the importance of early detection through screening, as it can lead to more favorable treatment outcomes and significantly improve the chances of survival.

Project Purpose(s)

  • Disease Focused Research (colorectal cancer)
  • Population Health
  • Social / Behavioral
  • Drug Development

Scientific Approaches

We will use temporal analysis based on LASSO Regression and will create a network of the events leading to colorectal cancer using Netica.

Anticipated Findings

The findings of this study will promote knowledge on the sequence of events for colorectal cancer diagnosis as well as causal association between variables leading up to the diagnosis.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

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