Evaluate improving the outcome of radiation therapy
  We are using innovative technology to deliver higher dose radiation regimens in shorter periods of time while at the same time minimizing toxicity to surrounding normal tissue. We are studying novel drugs that can make the tumor more sensitive to radiation.
Evaluate drugs that are used in the fight against cancer
Strategies that we use include studying novel agents that attack molecular targets within the cancer cell, optimizing existing chemotherapy or endocrine therapy by studying different sequences or combinations of drugs, and identifying better agents to manage the side effects of cancer e.g. anemia and thrombosis.
Evaluate how best to incorporate new expensive technology into clinical practice
Studies are conducted evaluating new imaging technologies. Multidisciplinary collaborations have been established between clinicians, methodologists, imaging physicians, physicists and economists. 
Improve the quality of care for the cancer patients
Studies are being done to examine improving communication between patients and physicians, how best to follow well cancer survivors, and how best to manage lymphedema.
Statistics. INR Percentage of time in range
In this graphical display called a histogram, we are displaying the distribution of patient INR values, a blood measurement which shows how much of an oral anticoagulant is circulating in their bodies. To be effective, this value needs to be in a certain target range a high percentage of the time. Here, we are comparing the time in range for two different groups, one randomized to a low intensity of anticoagulant, the other randomized to a conventional intensity.
Statistics. Survival plot
Statistical methods are used by epidemiologists and clinical trialists to summarize the numerical data collected in research studies, and to help in interpreting the results of the research. Often the numerical data is presented in graphical form to help the medical community and the public understand the study results better. For example, this plot is called a survival curve, and it shows the results in terms of the cumulating disease occurrences over time in each of two study groups, the control group who received the standard treatment (yellow line) versus the treatment group (green line), who received the experimental treatment. In this study, the patients in the experimental arm did much better in terms of disease recurrence over the 6 months that they were on study.