On the final day of the culture, surviving PLs from every treatment tank were counted and weighed to estimate mean survival for each of the treatments and the control groups.
We then extracted the mathematical function that the net used for calculating the output (survival) for each set of input data (clinical variables).
Kaplan-Meier survival analysis curves were presented by age, sex, and area of residence and overall (mean) survival for each analysis.
We analyzed survival for each sex separately, with replicate cage used as a covariate.
In addition, the tolerance of each parental line to hypoxia was measured by testing survival for each individual line in the hypoxic environments.
Relative survival for each genotype was calculated as a per cent cumulative survival of its group (either wild-type or ankyrin-B+/−).
The average percent survival for each time point of the three independent experiments was determined to derive the survival curve in Fig. 3. Statistical analysis and graphing was done using Prism 5 (GraphPad Software, Inc., La Jolla, CA).
Because the assays were done on different days and involved slightly different numbers of bacteria and macrophages, the slope and standard deviation of bacterial survival for each 24-h time period was calculated.
Selected demographic information including age, sex, histological subtype and grade, and outcome of survival for each patient included in this study was retrieved from the hospital cancer registry as documented [18].
In breast and prostate cancer patients, conditional five-year survival for each stage was stable.
We calculated age-standardised stage-specific relative survival for each deprivation and sex group.
