Sentence examples for lead to variation in from inspiring English sources

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NCPES participants were also diagnosed at various time intervals prior to completion of the survey that, in common with many such studies using self-reported data, could lead to variation in their ability to remember events in the time leading to presentation and thus recall bias.

"The main finding is that variation in the food that the females eat can lead to variation in male ornament that can in turn lead to the formation of new species," said the lead author, Niclas Kolm, an evolutionary biologist at the University of Uppsala in Sweden.

In addition, load fluctuation, bolt preload, and shape of diaphragms could lead to variation in the stiffness of disc couplings.

This heterogeneity is assumed to be likely to lead to variation in linguistic choices and the types of image of Huineng.

A movement of the source, whether it is slow slip along a plate boundary or an inflation in a volcano, may lead to variation in the data records.

Thermal annealing induces nc-Si formation and oxygen incorporation in SRSC and SL films, and these lead to variation in optical properties.

Segregation of an active pharmaceutical ingredient (API) from excipients can lead to variation in content uniformity, which in turn may result in failure to meet product specification.

In this narrative review it is discussed what variables can be identified that lead to variation in OA animal model studies.

Both the variables included and the analytic techniques used may lead to variation in the associations detected in big data studies (Abrams et al. 2008; Fan et al. 2014; Patel et al. 2015a).

If other information is to be included, and if individual users or researchers or clinicians are given the opportunity to provide such information, this might lead to variation in the scientific quality of the data.

Several epidemiologic studies assessed the incidence of CMV disease in critically ill patients (Table 2), and these studies used different methodologies that lead to variation in the observed incidence of infection ranging from 0% to as high as 98%.

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