Keyword search
Filter results by
Search HelpKeyword(s)
Type
Survey or statistical program
Results
All (14)
All (14) (0 to 10 of 14 results)
- Articles and reports: 82-003-S200700010363Description:
This overview describes the sampling strategy used to meet the collection and estimation requirements of the Canadian Health Measures Survey.
Release date: 2007-12-05 - Articles and reports: 82-003-X200710113309Geography: CanadaDescription:
This article summarizes the design, methods and results emerging from the Canadian Health Measures Survey pre-test, which took place from October through December 2004 in Calgary, Alberta.
Release date: 2007-12-05 - Surveys and statistical programs – Documentation: 16-001-M2007004Description:
Statistics Canada administers a number of environmental surveys that fill important data gaps but also pose numerous challenges to administer. This paper focuses on two on-going environment surveys - one newly initiated and one in the process of a redesign.
Release date: 2007-11-23 - Articles and reports: 12-001-X20070019848Description:
We investigate some modifications of the classical single-spell Cox model in order to handle multiple spells from the same individual when the data are collected in a longitudinal survey based on a complex sample design. One modification is the use of a design-based approach for the estimation of the model coefficients and their variances; in the variance estimation each individual is treated as a cluster of spells, bringing an extra stage of clustering into the survey design. Other modifications to the model allow a flexible specification of the baseline hazard to account for possibly differential dependence of hazard on the order and duration of successive spells, and also allow for differential effects of the covariates on the spells of different orders. These approaches are illustrated using data from the Canadian Survey of Labour and Income Dynamics (SLID).
Release date: 2007-06-28 - Articles and reports: 12-001-X20070019852Description:
A common class of survey designs involves selecting all people within selected households. Generalized regression estimators can be calculated at either the person or household level. Implementing the estimator at the household level has the convenience of equal estimation weights for people within households. In this article the two approaches are compared theoretically and empirically for the case of simple random sampling of households and selection of all persons in each selected household. We find that the household level approach is theoretically more efficient in large samples and any empirical inefficiency in small samples is limited.
Release date: 2007-06-28 - Articles and reports: 12-001-X20070019853Description:
Two-phase sampling is a useful design when the auxiliary variables are unavailable in advance. Variance estimation under this design, however, is complicated particularly when sampling fractions are high. This article addresses a simple bootstrap method for two-phase simple random sampling without replacement at each phase with high sampling fractions. It works for the estimation of distribution functions and quantiles since no rescaling is performed. The method can be extended to stratified two-phase sampling by independently repeating the proposed procedure in different strata. Variance estimation of some conventional estimators, such as the ratio and regression estimators, is studied for illustration. A simulation study is conducted to compare the proposed method with existing variance estimators for estimating distribution functions and quantiles.
Release date: 2007-06-28 - Articles and reports: 11-522-X20050019468Description:
At the time of recruitment, the participants in a longitudinal survey are chosen to be representative of a population. As time goes on, typically some of the participants will drop out, and dropout may be informative in the sense of depending on the response variables of interest. However, even if dropout is minimal, the participants who continue to the second and third waves of a longitudinal survey may differ from those they supposedly represent in subtle ways. It is clearly important to take such possibilities into account when designing and analyzing longitudinal survey data before and after an intervention.
Release date: 2007-03-02 - Articles and reports: 11-522-X20050019470Description:
Statistics Netherlands is confronted with several developments in society that have a substantial impact on its task of collecting, processing and publishing statistics. Most importantly, Statistics Netherlands has to reduce the administrative burden put upon companies and households. If relevant data are available elsewhere, they should not be collected once again in a survey. This change from survey-based statistics to register-based statistics has a substantial impact on the organisation. This paper describes some of the challenges of this transformation process.
Release date: 2007-03-02 - Articles and reports: 11-522-X20050019471Description:
Active management involves planning an approach to maximize 'success' of the collection process. One objective of active management is to identify collection problems as quickly as possible and implement an appropriate action plan to deal with the situation.
Release date: 2007-03-02 - Articles and reports: 11-522-X20050019475Description:
To determine and measure the impact of informativeness we compare design-based and model-based variances of estimated parameters, as well as the estimated parameters themselves, in a logistic model under the assumption that the postulated model is true. An approach for assessing the impact of informativeness is given. In order to address the additional complexity of the impact of informativeness on power, we propose a new approximation for a linear combination of non-central chi-square distributions, using generalized design effects. A large simulation study, based on generating a population under the postulated model, using parameter estimates derived from the NPHS, allows us to detect and to measure the informativeness, and to compare the robustness of studied approaches.
Release date: 2007-03-02
Data (0)
Data (0) (0 results)
No content available at this time.
Analysis (13)
Analysis (13) (0 to 10 of 13 results)
- Articles and reports: 82-003-S200700010363Description:
This overview describes the sampling strategy used to meet the collection and estimation requirements of the Canadian Health Measures Survey.
Release date: 2007-12-05 - Articles and reports: 82-003-X200710113309Geography: CanadaDescription:
This article summarizes the design, methods and results emerging from the Canadian Health Measures Survey pre-test, which took place from October through December 2004 in Calgary, Alberta.
Release date: 2007-12-05 - Articles and reports: 12-001-X20070019848Description:
We investigate some modifications of the classical single-spell Cox model in order to handle multiple spells from the same individual when the data are collected in a longitudinal survey based on a complex sample design. One modification is the use of a design-based approach for the estimation of the model coefficients and their variances; in the variance estimation each individual is treated as a cluster of spells, bringing an extra stage of clustering into the survey design. Other modifications to the model allow a flexible specification of the baseline hazard to account for possibly differential dependence of hazard on the order and duration of successive spells, and also allow for differential effects of the covariates on the spells of different orders. These approaches are illustrated using data from the Canadian Survey of Labour and Income Dynamics (SLID).
Release date: 2007-06-28 - Articles and reports: 12-001-X20070019852Description:
A common class of survey designs involves selecting all people within selected households. Generalized regression estimators can be calculated at either the person or household level. Implementing the estimator at the household level has the convenience of equal estimation weights for people within households. In this article the two approaches are compared theoretically and empirically for the case of simple random sampling of households and selection of all persons in each selected household. We find that the household level approach is theoretically more efficient in large samples and any empirical inefficiency in small samples is limited.
Release date: 2007-06-28 - Articles and reports: 12-001-X20070019853Description:
Two-phase sampling is a useful design when the auxiliary variables are unavailable in advance. Variance estimation under this design, however, is complicated particularly when sampling fractions are high. This article addresses a simple bootstrap method for two-phase simple random sampling without replacement at each phase with high sampling fractions. It works for the estimation of distribution functions and quantiles since no rescaling is performed. The method can be extended to stratified two-phase sampling by independently repeating the proposed procedure in different strata. Variance estimation of some conventional estimators, such as the ratio and regression estimators, is studied for illustration. A simulation study is conducted to compare the proposed method with existing variance estimators for estimating distribution functions and quantiles.
Release date: 2007-06-28 - Articles and reports: 11-522-X20050019468Description:
At the time of recruitment, the participants in a longitudinal survey are chosen to be representative of a population. As time goes on, typically some of the participants will drop out, and dropout may be informative in the sense of depending on the response variables of interest. However, even if dropout is minimal, the participants who continue to the second and third waves of a longitudinal survey may differ from those they supposedly represent in subtle ways. It is clearly important to take such possibilities into account when designing and analyzing longitudinal survey data before and after an intervention.
Release date: 2007-03-02 - Articles and reports: 11-522-X20050019470Description:
Statistics Netherlands is confronted with several developments in society that have a substantial impact on its task of collecting, processing and publishing statistics. Most importantly, Statistics Netherlands has to reduce the administrative burden put upon companies and households. If relevant data are available elsewhere, they should not be collected once again in a survey. This change from survey-based statistics to register-based statistics has a substantial impact on the organisation. This paper describes some of the challenges of this transformation process.
Release date: 2007-03-02 - Articles and reports: 11-522-X20050019471Description:
Active management involves planning an approach to maximize 'success' of the collection process. One objective of active management is to identify collection problems as quickly as possible and implement an appropriate action plan to deal with the situation.
Release date: 2007-03-02 - Articles and reports: 11-522-X20050019475Description:
To determine and measure the impact of informativeness we compare design-based and model-based variances of estimated parameters, as well as the estimated parameters themselves, in a logistic model under the assumption that the postulated model is true. An approach for assessing the impact of informativeness is given. In order to address the additional complexity of the impact of informativeness on power, we propose a new approximation for a linear combination of non-central chi-square distributions, using generalized design effects. A large simulation study, based on generating a population under the postulated model, using parameter estimates derived from the NPHS, allows us to detect and to measure the informativeness, and to compare the robustness of studied approaches.
Release date: 2007-03-02 - 10. Getting around a conceptual difference between two data sources when producing estimates ArchivedArticles and reports: 11-522-X20050019481Description:
The Survey on Employment, Payrolls and Hours is a monthly survey using two data sources: a census of administrative records and an establishment survey. The survey data is used to build models in order to mass impute several derived variables on the administrative source. The survey design relies on the fact that the concepts for number of employees and gross monthly payroll are the same on the two data sources. In this presentation, we will describe different solutions that were brought to the survey design and to the mass imputation model to allow us to get around this conceptual difference, hence producing estimates that are more stable in time. Results from different estimation scenarios for average weekly earnings will be given to conclude the presentation.
Release date: 2007-03-02
Reference (1)
Reference (1) ((1 result))
- Surveys and statistical programs – Documentation: 16-001-M2007004Description:
Statistics Canada administers a number of environmental surveys that fill important data gaps but also pose numerous challenges to administer. This paper focuses on two on-going environment surveys - one newly initiated and one in the process of a redesign.
Release date: 2007-11-23
- Date modified: