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1“...The timescale for and statistics of environmental change, the precision with which the organism can detect its environment, and the costs and benefits of particular protein expression levels all will affect the suitability of different strategies–such as constitutive expression or graded response–for regulating protein levels in response to environmental inputs. ...”
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3“...CONCLUSION: An unsupervised binning method based on statistical signatures of short environmental sequences is a viable stand-alone binning method for low complexity samples. ...”
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5“...Then, we discuss empirical data on environmental statistics from a range of disciplines. ...”
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8“...Although there has been growing concern about the effects of environmental exposures on human fertility, standard epidemiologic study designs may not collect sufficient data to identify subtle effects while properly adjusting for confounding. ...”
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12Statistical Identification of Gene-gene Interactions Triggered By Nonlinear Environmental Modulation“...Although the role of environmental factors moderating genetic influences on disease risk has been broadly recognized, no statistical method has been developed to rigorously assess how environmental changes modify G×G interactions to affect disease risk. ...”
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15“...BACKGROUND: Identifying windows of vulnerability to environmental toxicants is an important area in children’s health research. ...”
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17“...Expensive computer codes, particularly those used for simulating environmental or geological processes, such as climate models, require calibration (sometimes called tuning). ...”
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18“...Statistical estimation of such artefacts is complicated by the simultaneous existence of trends, seasonal variation and effects of other influencing factors, such as weather conditions. ...”
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19“...Understanding and estimating the relationship between early-life exposure and human growth is vital to studying the adverse health impacts of environmental exposure. We compare two statistical tools, mixed-effects models with interaction terms and growth mixture models, used to measure the association between exposure and change over time within the context of non-linear growth and non-monotonic relationships between exposure and growth. ...”
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20gan Oh, Seon‐Woo, Lee, Soyoung, Park, Sooyun, Lee, Sanggu, Lee, Seongkon, Cho, Hyunsuk, Chung, Youngsoo, Park, Soonki“...All data were analyzed by the various statistical tools to identify the nutritional variations of nutrients. ...”
Cyhoeddwyd 2018
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