Results 171 to 180 of about 22,547 (210)
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1982
Many types of multiple comparisons data can be described by multiplicative models, consequently GLIM can be used to fit log-linear models to such data, and to produce not only estimates of the parameters of interest, but also standard errors and tests of significance. Moreover as the data consists of counts the adequacy of the model can be tested in an
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Many types of multiple comparisons data can be described by multiplicative models, consequently GLIM can be used to fit log-linear models to such data, and to produce not only estimates of the parameters of interest, but also standard errors and tests of significance. Moreover as the data consists of counts the adequacy of the model can be tested in an
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The Global Leadership Initiative on Malnutrition (GLIM)
The American Journal of Clinical NutritionA lack of global consensus on diagnostic criteria for malnutrition in adults in diverse health care settings limits our ability to share meaningful data and compare promising interventions. The Global Leadership Initiative on Malnutrition (GLIM) is a collaborative global effort to address this shortcoming.
Gordon L Jensen, Charlene Compher
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The New Release of GLIM: GLIM 3.77
The American Statistician, 1986Numerical Algorithms Group Ltd. +1 more
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1985
Quasi-likelihood allows GLMs to be specified by use of the link function and variance function only, or equivalently by specifying the first two moments of the error distribution. Wedderburn’s original definition is extended to allow the comparison of different variance functions, and several uses of quasi-likelihood in extending the range of GLMs are ...
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Quasi-likelihood allows GLMs to be specified by use of the link function and variance function only, or equivalently by specifying the first two moments of the error distribution. Wedderburn’s original definition is extended to allow the comparison of different variance functions, and several uses of quasi-likelihood in extending the range of GLMs are ...
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