CFAssay

CFAssay analyzes colony formation assay data to model cell survival after ionizing radiation by estimating parameters of linear–quadratic survival curves and performing statistical comparisons across experimental conditions.

Key Features:

• Linear–Quadratic Survival Curve Modeling: Computes cell survival curves using the linear–quadratic model to evaluate cellular responses to ionizing radiation.
• Parameter Estimation Methods: Estimates model parameters using maximum likelihood estimation (MLE) with optional least squares and weighted least squares approaches.
• Two-Way Experimental Design Analysis: Performs ANOVA for two-way experimental designs involving radiation and chemical treatments.
• Survival Curve Comparison: Provides statistical tests for comparing survival curves across different treatment conditions.
• Goodness-of-Fit Evaluation: Uses dispersion parameters derived from quasi-likelihood methods to assess statistical variation and model fit.

Scientific Applications:

• Radiation Biology Research: Quantifies cellular reproductive death following exposure to ionizing radiation using colony formation assays.
• Treatment Interaction Studies: Evaluates combined effects of radiation and chemical treatments on cell survival.

Methodology:

CFAssay models colony formation assay data using the linear–quadratic survival model and estimates parameters through maximum likelihood estimation, least squares, or weighted least squares, followed by ANOVA and quasi-likelihood dispersion analysis for experimental comparison.