Simulations
Results
All (23)
All (23) (0 to 10 of 23 results)
- Articles and reports: 12-001-X202300200011Description: The article considers sampling designs for populations that can be represented as a N × M matrix. For instance when investigating tourist activities, the rows could be locations visited by tourists and the columns days in the tourist season. The goal is to sample cells (i, j) of the matrix when the number of selections within each row and each column is fixed a priori. The ith row sample size represents the number of selected cells within row i; the jth column sample size is the number of selected cells within column j. A matrix sampling design gives an N × M matrix of sample indicators, with entry 1 at position (i, j) if cell (i, j) is sampled and 0 otherwise. The first matrix sampling design investigated has one level of sampling, row and column sample sizes are set in advance: the row sample sizes can vary while the column sample sizes are all equal. The fixed margins can be seen as balancing constraints and algorithms available for selecting such samples are reviewed. A new estimator for the variance of the Horvitz-Thompson estimator for the mean of survey variable y is then presented. Several levels of sampling might be necessary to account for all the constraints; this involves multi-level matrix sampling designs that are also investigated.Release date: 2024-01-03
- 2. The DYSEM Microsimulation Modelling Platform ArchivedArticles and reports: 11-633-X2017008Description:
The DYSEM microsimulation modelling platform provides a demographic and socioeconomic core that can be readily built upon to develop custom dynamic microsimulation models or applications. This paper describes DYSEM and provides an overview of its intended uses, as well as the methods and data used in its development.
Release date: 2017-07-28 - Articles and reports: 82-003-X201700614829Description:
POHEM-BMI is a microsimulation tool that includes a model of adult body mass index (BMI) and a model of childhood BMI history. This overview describes the development of BMI prediction models for adults and of childhood BMI history, and compares projected BMI estimates with those from nationally representative survey data to establish validity.
Release date: 2017-06-21 - 4. Demosim 2017 ArchivedArticles and reports: 91-621-X2017001Description:
This document briefly describes Demosim, the microsimulation population projection model, how it works as well as its methods and data sources. It is a methodological complement to the analytical products produced using Demosim.
Release date: 2017-01-25 - Articles and reports: 82-003-X201600314338Description:
This paper describes the methods and data used in the development and implementation of the POHEM-Neurological meta-model.
Release date: 2016-03-16 - Articles and reports: 82-003-X201501214293Description:
The University of Wisconsin Cancer Intervention and Surveillance Modeling Network breast cancer microsimulation model was adapted to simulate breast cancer incidence and screening performance in Canada. The model considered effects of breast density on the sensitivity and specificity of screening. The model’s ability to predict age-specific incidence of breast cancer was assessed.
Release date: 2015-12-16 - 7. Demosim 2015 ArchivedArticles and reports: 91-621-X2015001Description:
This document briefly describes Demosim, the microsimulation population projection model, how it works as well as its methods and data sources. It is a methodological complement to the analytical products produced using Demosim.
Release date: 2015-09-17 - 8. Modelling complex households and communities—Example of Demo4: Demographic module of the SustainCity project ArchivedArticles and reports: 11-522-X201300014279Description:
As part of the European SustainCity project, a microsimulation model of individuals and households was created to simulate the population of various European cities. The aim of the project was to combine several transportation and land-use microsimulation models (land-use modelling), add on a dynamic population module and apply these microsimulation approaches to three geographic areas of Europe (the Île-de-France region and the Brussels and Zurich agglomerations
Release date: 2014-10-31 - Articles and reports: 11-522-X201300014289Description:
This paper provides an overview of the main new features that will be added to the forthcoming version of the Demosim microsimulation projection model based on microdata from the 2011 National Household Survey. The paper first describes the additions to the base population, namely new variables, some of which are added to the National Household Survey data by means of data linkage. This is followed by a brief description of the methods being considered for the projection of language variables, citizenship and religion as examples of the new features for events simulated by the model.
Release date: 2014-10-31 - Articles and reports: 82-003-X201301011873Geography: CanadaDescription:
A computer simulation model of physical activity was developed for the Canadian adult population using longitudinal data from the National Population Health Survey and cross-sectional data from the Canadian Community Health Survey. The model is based on the Population Health Model (POHEM) platform developed by Statistics Canada. This article presents an overview of POHEM and describes the additions that were made to create the physical activity module (POHEM-PA). These additions include changes in physical activity over time, and the relationship between physical activity levels and health-adjusted life expectancy, life expectancy and the onset of selected chronic conditions. Estimates from simulation projections are compared with nationally representative survey data to provide an indication of the validity of POHEM-PA.
Release date: 2013-10-16
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Analysis (23)
Analysis (23) (0 to 10 of 23 results)
- Articles and reports: 12-001-X202300200011Description: The article considers sampling designs for populations that can be represented as a N × M matrix. For instance when investigating tourist activities, the rows could be locations visited by tourists and the columns days in the tourist season. The goal is to sample cells (i, j) of the matrix when the number of selections within each row and each column is fixed a priori. The ith row sample size represents the number of selected cells within row i; the jth column sample size is the number of selected cells within column j. A matrix sampling design gives an N × M matrix of sample indicators, with entry 1 at position (i, j) if cell (i, j) is sampled and 0 otherwise. The first matrix sampling design investigated has one level of sampling, row and column sample sizes are set in advance: the row sample sizes can vary while the column sample sizes are all equal. The fixed margins can be seen as balancing constraints and algorithms available for selecting such samples are reviewed. A new estimator for the variance of the Horvitz-Thompson estimator for the mean of survey variable y is then presented. Several levels of sampling might be necessary to account for all the constraints; this involves multi-level matrix sampling designs that are also investigated.Release date: 2024-01-03
- 2. The DYSEM Microsimulation Modelling Platform ArchivedArticles and reports: 11-633-X2017008Description:
The DYSEM microsimulation modelling platform provides a demographic and socioeconomic core that can be readily built upon to develop custom dynamic microsimulation models or applications. This paper describes DYSEM and provides an overview of its intended uses, as well as the methods and data used in its development.
Release date: 2017-07-28 - Articles and reports: 82-003-X201700614829Description:
POHEM-BMI is a microsimulation tool that includes a model of adult body mass index (BMI) and a model of childhood BMI history. This overview describes the development of BMI prediction models for adults and of childhood BMI history, and compares projected BMI estimates with those from nationally representative survey data to establish validity.
Release date: 2017-06-21 - 4. Demosim 2017 ArchivedArticles and reports: 91-621-X2017001Description:
This document briefly describes Demosim, the microsimulation population projection model, how it works as well as its methods and data sources. It is a methodological complement to the analytical products produced using Demosim.
Release date: 2017-01-25 - Articles and reports: 82-003-X201600314338Description:
This paper describes the methods and data used in the development and implementation of the POHEM-Neurological meta-model.
Release date: 2016-03-16 - Articles and reports: 82-003-X201501214293Description:
The University of Wisconsin Cancer Intervention and Surveillance Modeling Network breast cancer microsimulation model was adapted to simulate breast cancer incidence and screening performance in Canada. The model considered effects of breast density on the sensitivity and specificity of screening. The model’s ability to predict age-specific incidence of breast cancer was assessed.
Release date: 2015-12-16 - 7. Demosim 2015 ArchivedArticles and reports: 91-621-X2015001Description:
This document briefly describes Demosim, the microsimulation population projection model, how it works as well as its methods and data sources. It is a methodological complement to the analytical products produced using Demosim.
Release date: 2015-09-17 - 8. Modelling complex households and communities—Example of Demo4: Demographic module of the SustainCity project ArchivedArticles and reports: 11-522-X201300014279Description:
As part of the European SustainCity project, a microsimulation model of individuals and households was created to simulate the population of various European cities. The aim of the project was to combine several transportation and land-use microsimulation models (land-use modelling), add on a dynamic population module and apply these microsimulation approaches to three geographic areas of Europe (the Île-de-France region and the Brussels and Zurich agglomerations
Release date: 2014-10-31 - Articles and reports: 11-522-X201300014289Description:
This paper provides an overview of the main new features that will be added to the forthcoming version of the Demosim microsimulation projection model based on microdata from the 2011 National Household Survey. The paper first describes the additions to the base population, namely new variables, some of which are added to the National Household Survey data by means of data linkage. This is followed by a brief description of the methods being considered for the projection of language variables, citizenship and religion as examples of the new features for events simulated by the model.
Release date: 2014-10-31 - Articles and reports: 82-003-X201301011873Geography: CanadaDescription:
A computer simulation model of physical activity was developed for the Canadian adult population using longitudinal data from the National Population Health Survey and cross-sectional data from the Canadian Community Health Survey. The model is based on the Population Health Model (POHEM) platform developed by Statistics Canada. This article presents an overview of POHEM and describes the additions that were made to create the physical activity module (POHEM-PA). These additions include changes in physical activity over time, and the relationship between physical activity levels and health-adjusted life expectancy, life expectancy and the onset of selected chronic conditions. Estimates from simulation projections are compared with nationally representative survey data to provide an indication of the validity of POHEM-PA.
Release date: 2013-10-16
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