Case Studies

Oct
2012

Assessing Cancer Risk

Mutations in the BRCA1 and BRCA2 genes are known to lead to an increased risk of cancer in humans. Elective surgery can reduce the cancer risk, but is an incredibly difficult and personal decision for healthy patients to take. Statistical techniques can be used to produce a personalised risk profile with likely timescales of disease onset allowing a patient to make a more informed decision.

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Oct
2012

Minimising Customer Waiting Times

A bank would like to keep customer waiting times below 5 minutes in order to ensure an appropriate level of customer service. The wait time depends on two main factors: the time of day and the number of tellers of operating. By carrying out an operational analysis, it is possible to calculate the optimal number of tellers required throughout the day.

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Oct
2012

Modelling Extreme Sea-Levels

When planners are developing coastal flood defences, they have to consider to what height they should build a sea wall so that the probability of flooding over a pre-specified future period is sufficiently small. Reliable estimates can be obtained using a statistical model that incorporates all the processes that affect extreme sea-levels.

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Oct
2012

Accounting for Self-Selection Biases in Customer Satisfaction Surveys

Customer satisfaction surveys are a useful tool for identifying strengths and weaknesses in a business. However, these types of surveys can suffer from a self-selection bias reducing their reliability. Using customer information (such as nationality, age or gender), it is possible to model the probability of a customer responding to a survey and to correct the bias caused by self-selection allowing businesses to better understand customer needs.

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