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TLK Model Calibration Example: Use this sample file to begin analyzing delayed-plating cell survival data (no repopulation effects; GF=0.0).  For small datasets (e.g., only low or high dose rate survival data are available), it may be prudent to perform the data analysis using the LPL or RMR model instead of the TLK.  Nevertheless, the TLK model can still provide some useful insights into the radiobiology -- even for small datasets. For example, the TLK might be used to investigate the impact on parameter estimates of biphasic DSB rejoining kinetics.  Recommendations for TLK model fitting are provided below.  For large datasets (multiple dose rates and/or split-dose survival data), the TLK can provide better fits to the data than the LPL or RMR model.

Small datasets (low or high dose rate data only): Use the default parameters indicated below and treat the ETA and PHI parameters as adjustable (2 or 3 parameter fit).

Large datasets (multiple dose rates): Use the default parameters indicated below.  An adequate fit to most datasets can be obtained by treating 3 to 5 of the TLK model inputs as adjustable.  Adjust ETA, PHI (both kinds of DSB), and RHT for simple DSBs to perform a 3 parameter fit.  For a 4 parameter fit, adjust ETA, PHI, and the RHT for both simple and complex DSBs.  And for a 5 parameter fit, adjust ETA, PHI, the RHT for simple and complex DSBs, and the initial yield of complex DSBs (DSB).  Start with a 3 or 4 parameter fit and increase the number of adjustable parameters until you obtain a good fit to the data.
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