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Cited by 28 publications
(43 citation statements)
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“…As seen in Table A1, the Iterative Proportional Fitting (IPF) procedure is a well-established algorithm for fitting [1,[3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. This method, first proposed by Deming and Stephan [18], identifies weights for the microdata iteratively by adjusting an n-dimensional array until every dimension matches to the control totals.…”
Section: Introductionmentioning
confidence: 99%
“…As seen in Table A1, the Iterative Proportional Fitting (IPF) procedure is a well-established algorithm for fitting [1,[3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. This method, first proposed by Deming and Stephan [18], identifies weights for the microdata iteratively by adjusting an n-dimensional array until every dimension matches to the control totals.…”
Section: Introductionmentioning
confidence: 99%
“…Binary logistic regression models for four outcomes (< 1 portion fruit, <1 portion vegetables, < 1 portion fruit, vegetable and juice or >330 ml SSB) was the next stage of selecting appropriate predictor variables for these relatively poor diet behaviours, with the nal step the creation of multivariate logistic regression models for each the four diet outcomes to identify the optimal combination of predictor variables in each instance. The results from the multivariate logistic regression model were also used in the creation of credible intervals around the estimated prevalence of diet behaviours, as described later in this section (30). The scale of these estimates, MSOAs, are similar in size to the primary sampling units used to select areas and populations to sample for the national surveys.…”
Section: Methodsmentioning
confidence: 99%
“…Credible intervals for the estimated prevalence of diet behaviours were calculated using the outputs from multiple regression models for each of the diet outcomes and using a multilevel modelling framework. Details of this process are explained fully in Whitworth et al 2017 (30). Brie y, the data from NDNS has already been analysed in single-level multiple regression models for each diet outcome.…”
Section: Methodsmentioning
confidence: 99%
“…Relative Root Mean Squared Error, RRMSE). We note, however, that novel approaches are being explored to estimate uncertainty in spatial microsimulation approaches (Whitworth et al 2017).…”
Section: Methodsmentioning
confidence: 99%