Major Variables and Analysis Models

Below we have presented the major variables and the proposed analysis models that might be used for a variety of different types of end points that can be anticipated in the LTRC studies.

Major Variables and Proposed Analysis Models

 

VARIABLE

TYPE OF END POINT

TYPES OF ANALYSES

Pulmonary Function Tests

Continuous measures

Chi-Square, ANOVA, and Regression Techniques

Biochemical assays on lung tissues

Continuous and categorical measures collected on lung specimens

Chi-Square, ANOVA, and Regression Techniques

CT scan results and clinical assessments on lung tissues

Ordinal measures collected at baseline

Chi-Square and Logistic Regression Techniques

Clinical evaluations

Dichotomous measures

Chi-Square and Logistic Regression techniques

Use of steroids and other treatments

Categorical measures

Chi-Square, ANOVA, and Regression Techniques

 

Independent Variables that will be used in these analyses include but are not limited to: Demographic Variables; Clinical Variables (e.g., use of steroids, tissue morphological characteristics; CT scan results; type of lung disease, and stage of disease); Indicators of Genetic Alleles (from PCR on blood lymphocytes).

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