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- 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 - 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-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 - Articles and reports: 11-522-X200600110445Description:
When Chiang's "standard" method is used, calculating life expectancy for (small) census agglomerations in Canada can produce estimates whose confidence intervals are too wide to be useful. However, we have been able to show that by combining small area estimation methods and simulation methods, we can obtain narrower confidence intervals.
Release date: 2008-03-17 - Articles and reports: 11-522-X20020016722Geography: CanadaDescription:
Colorectal cancer (CRC) is the second cause of cancer deaths in Canada. Randomized controlled trials (RCT) have shown the efficacy of screening using faecal occult blood tests (FOBT). A comprehensive evaluation of the costs and consequences of CRC screening for the Canadian population is required before implementing such a program. This paper evaluates whether or not the CRC screening is cost-effective. The results of these simulations will be provided to the Canadian National Committee on Colorectal Cancer Screening to help formulate national policy recommendations for CRC screening.
Statistics Canada's Population Health Microsimulation Model was updated to incorporate a comprehensive CRC screening module based on Canadian data and RCT efficacy results. The module incorporated sensitivity and specificity of FOBT and colonoscopy, participation rates, incidence, staging, diagnostic and therapeutic options, disease progression, mortality and direct health care costs for different screening scenarios. Reproducing the mortality reduction observed in the Funen screening trial validated the model.
Release date: 2004-09-13 - 6. Empirical comparison of small area estimation methods for the Italian Labour Force Survey ArchivedArticles and reports: 12-001-X199400214419Description:
The study was undertaken to evaluate some alternative small areas estimators to produce level estimates for unplanned domains from the Italian Labour Force Sample Survey. In our study, the small areas are the Health Service Areas, which are unplanned sub-regional territorial domains and were not isolated at the time of sample design and thus cut across boundaries of the design strata. We consider the following estimators: post-stratified ratio, synthetic, composite expressed as linear combination of synthetic and of post-stratified ratio, and sample size dependent. For all the estimators considered in this study, the average percent relative biases and the average relative mean square errors were obtained in a Monte Carlo study in which the sample design was simulated using data from the 1981 Italian Census.
Release date: 1994-12-15
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Articles and reports (6)
Articles and reports (6) ((6 results))
- 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 - 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-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 - Articles and reports: 11-522-X200600110445Description:
When Chiang's "standard" method is used, calculating life expectancy for (small) census agglomerations in Canada can produce estimates whose confidence intervals are too wide to be useful. However, we have been able to show that by combining small area estimation methods and simulation methods, we can obtain narrower confidence intervals.
Release date: 2008-03-17 - Articles and reports: 11-522-X20020016722Geography: CanadaDescription:
Colorectal cancer (CRC) is the second cause of cancer deaths in Canada. Randomized controlled trials (RCT) have shown the efficacy of screening using faecal occult blood tests (FOBT). A comprehensive evaluation of the costs and consequences of CRC screening for the Canadian population is required before implementing such a program. This paper evaluates whether or not the CRC screening is cost-effective. The results of these simulations will be provided to the Canadian National Committee on Colorectal Cancer Screening to help formulate national policy recommendations for CRC screening.
Statistics Canada's Population Health Microsimulation Model was updated to incorporate a comprehensive CRC screening module based on Canadian data and RCT efficacy results. The module incorporated sensitivity and specificity of FOBT and colonoscopy, participation rates, incidence, staging, diagnostic and therapeutic options, disease progression, mortality and direct health care costs for different screening scenarios. Reproducing the mortality reduction observed in the Funen screening trial validated the model.
Release date: 2004-09-13 - 6. Empirical comparison of small area estimation methods for the Italian Labour Force Survey ArchivedArticles and reports: 12-001-X199400214419Description:
The study was undertaken to evaluate some alternative small areas estimators to produce level estimates for unplanned domains from the Italian Labour Force Sample Survey. In our study, the small areas are the Health Service Areas, which are unplanned sub-regional territorial domains and were not isolated at the time of sample design and thus cut across boundaries of the design strata. We consider the following estimators: post-stratified ratio, synthetic, composite expressed as linear combination of synthetic and of post-stratified ratio, and sample size dependent. For all the estimators considered in this study, the average percent relative biases and the average relative mean square errors were obtained in a Monte Carlo study in which the sample design was simulated using data from the 1981 Italian Census.
Release date: 1994-12-15
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