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r content component: end-user accesses content on a server; r connectivity component: end-user obtains connectivity to another

Blood surface interactions are of great importance when medical polymers, such as those used in heart valves and arti cial organs, are implanted into the body. When polymers come into contact with blood, complex reactions take place and can result in the formation of a blood clot. Infrared analysis has shown in ex vivo studies that during the early stages the proteins albumin and glycoprotein are present, with bronogen subsequently appearing. As the adsorption process continues, albumin is replaced by other proteins until a blood clot is formed.

A linear chain polymer is categorized as a one-dimensional (1-D) polymer even though it may have twists and turns in the linear chain. Simple polymer chains in which all of the atoms in the chain have a connectivity of 2 are classed as 1-D polymers. However, a linear chain polymer with one or more atoms of each

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consumption predicted high risk of lung cancer this would not necessarily mean that alcohol is a direct cause of lung cancer Smoking is a well-established cause of lung cancer and it is not unreasonable to suggest that heavy drinkers might be more likely to smoke (or passively smoke in smoky bars) than moderate or non-drinkers So the association between drinking and lung cancer could be due to the confounding effects of smoking which is independently linked to lung cancer and in this hypothetical example to alcohol consumption In our fruit and vegetable example, it can be convincingly demonstrated that there is a strong association between high fruit and vegetable consumption and lower cancer risk using several different observational approaches.

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(7.1)

There are, however, many potential confounding variables, as listed below, that one would need to consider before concluding that the association is likely to be cause and effect that substances in fruit and vegetables directly protect against cancer High fruit and vegetable intake may displace other cancer promoting components of the diet do high fruit and vegetable consumers have lower fat and/or meat protein intakes than low fruit and vegetable eaters In Britain, fruit and vegetable consumption is affected by wealth and social class people who are more af uent tend to consume more fruit and vegetables Poverty is known to be a strong predictor of poor health and early mortality.

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Is the association between low fruit and vegetable intake and high cancer risk merely an indication that poorer people have higher risk of developing cancer Is high fruit and vegetable consumption a marker for a tendency to be more health aware Are high fruit and vegetable consumers less likely to smoke or drink heavily, and more likely to exercise regularly, control their weight and make health a factor in their food choices As another example, if one found a strong link between supplement or functional food use and low or high risk of a particular disease this would be an interesting observation that could generate a potentially testable hypothesis, but one would need to be cautious before assuming a cause and effect relationship (see below) Users are unlikely to be typical of the whole population in terms of their socio-economic and educational status, their gender, age-pro le etc.

are made In principle, the only loss to the eligible sample is through deaths The 1970 British Cohort Study (BCS70) is an example of a fixed panel design (Plewis et al, 2004) Fixed panel plus births This is like a fixed panel, except that regular samples of recent births to the population are added Typically, at each wave of data collection a sample of units born since the previous wave is added This may be preferred to a fixed panel if there are non-trivial numbers of births in the population during the life of a panel and there is a desire to represent the cross-sectional population at the time of each wave as well as the longitudinal population of wave 1 survivors Most household panel surveys have this design, as a sample of births into the eligible age range is added at each wave (Rose, 2000, chapter 1).

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