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All (107) (0 to 10 of 107 results)

  • 1. Modeling the burden of cancer in Canada Archived
    Articles and reports: 82-005-X20020016479
    Geography: Canada
    Description:

    The Population Health Model (POHEM) is a policy analysis tool that helps answer "what-if" questions about the health and economic burden of specific diseases and the cost-effectiveness of administering new diagnostic and therapeutic interventions. This simulation model is particularly pertinent in an era of fiscal restraint, when new therapies are generally expensive and difficult policy decisions are being made. More important, it provides a base for a broader framework to inform policy decisions using comprehensive disease data and risk factors. Our "base case" models comprehensively estimate the lifetime costs of treating breast, lung and colorectal cancer in Canada. Our cancer models have shown the large financial burden of diagnostic work-up and initial therapy, as well as the high costs of hospitalizing those dying of cancer. Our core cancer models (lung, breast and colorectal cancer) have been used to evaluate the impact of new practice patterns. We have used these models to evaluate new chemotherapy regimens as therapeutic options for advanced lung cancer; the health and financial impact of reducing the hospital length of stay for initial breast cancer surgery; and the potential impact of population-based screening for colorectal cancer. To date, the most interesting intervention we have studied has been the use of tamoxifen to prevent breast cancer among high risk women.

    Release date: 2002-10-08
  • 2. The importance of a quality culture Archived
    Articles and reports: 11-522-X20010016227
    Description:

    The reputation of a national statistical office depends on the level of service it provides. Quality must be a core value and providing excellent service has to be embedded in the culture of a statistical organization.

    The paper outlines what is meant by a high quality statistical service. It explores factors that contribute to a quality work culture. In particular, it outlines the activities and experiences of the Australian Bureau of Statistics in maintaining a quality culture.

    Release date: 2002-09-12
  • 3. Ensuring the quality of the labor force estimates from the Current Population Survey : a total survey perspective Archived
    Articles and reports: 11-522-X20010016228
    Description:

    The Current Population Survey is the primary source of labour force data for the United States. Throughout any survey process, it is critical that data quality be ensured. This paper discusses how quality issues are addressed during all steps of the survey process, including the development of the sample frame, sampling operations, sample control, data collection, editing, imputation, estimation, questionnaire development. It also reviews the quality evaluations that are built into the survey process. The paper concludes with a discussion of current research and possible future improvements to the survey.

    Release date: 2002-09-12
  • 4. Large and complex surveys - discussion Archived
    Articles and reports: 11-522-X20010016230
    Description:

    This publication consists of three papers, each addressing data quality issues associated with a large and complex survey. Two of the case studies involve household surveys of labour force activity and the third focuses on a business survey. The papers each address a data quality topic from a different perspective, but share some interesting common threads.

    Release date: 2002-09-12
  • 5. Data accuracy: how good are our usual indicators? Archived
    Articles and reports: 11-522-X20010016231
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. Its is intended for an audience of survey methodologists.

    In 2000, the Behavioral Risk Factor Surveillance System (BRFSS) conducted monthly telephone surveys in 50 American states, the District of Columbia, and Puerto Rico: each was responsible for collecting its own survey data. In Maine, data collection was split between the state health department and ORC Macro, a commercial market research firm. Examination of survey outcome rates, selection biases and missing values for income suggest that the Maine health department data are more accurate. However, out of 18 behavioural health risk factors, only four are statistically different by data collector, and for these four factors, the data collected by ORC Macro seem more accurate.

    Release date: 2002-09-12
  • 6. Testing the mode effects in the Finnish consumer survey Archived
    Articles and reports: 11-522-X20010016233
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    From January 2000, the data collection method of the Finnish Consumer Survey was changed from a Labour Force Survey panel design mode to an independent survey. All interviews are now carried out centrally from Statistics Finland's Computer Assisted Telephone Interview (CATI) Centre. There have been suggestions that the new survey mode has been influencing the respondents' answers. This paper analyses the extent of obvious changes in the results of the Finnish Consumer Survey. This is accomplished with the help of a pilot survey. Furthermore, this paper studies the interviewer's role in the data collection process. The analysis is based on cross-tabulations, chi-square tests and multinomial logit models. It shows that the new survey method produces more optimistic estimations and expectations concerning economic matters than the old method did.

    Release date: 2002-09-12
  • 7. Improving measures of crime: sample adjustments to police crime data Archived
    Articles and reports: 11-522-X20010016235
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    Police records collected by the Federal Bureau of Investigation (FBI) through the Uniform Crime Reporting (UCR) Program are the leading source of national crime statistics. Recently, audits to correct UCR records have raised concerns as to how to handle the errors discovered in these files. Concerns centre around the methodology used to detect errors and the procedures used to correct errors once they have been discovered. This paper explores these concerns, focusing on sampling methodology, establishment of a statistical-adjustment factor, and alternative solutions. The paper distinguishes the difference between sample adjustment and sample estimates of an agency's data, and recommends sample adjustment as the most accurate way of dealing with errors.

    Release date: 2002-09-12
  • 8. Evaluating the reasonableness of data: using cross ratios and chi-square measures Archived
    Articles and reports: 11-522-X20010016236
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    The Uniform Crime Reporting (UCR) Program has devoted a considerable amount of resources in a continuous effort to improve the quality of its data. In this paper, the authors introduce and discuss the use of the cross-ratios and chi-square measures to evaluate the rationality of the data. The UCR data is used to empirically illustrate this approach.

    Release date: 2002-09-12
  • 9. Data detectives: uncovering systematic errors Archived
    Articles and reports: 11-522-X20010016237
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    Secondary users of health information often assume that administrative data provides a relatively sound basis for making important planning and policy decisions. If errors are evenly or randomly distributed, this assumption may have little impact on these decisions. However, when information sources contain systematic errors, or when systematic errors are introduced during the creation of master files, this assumption can be damaging.

    The most common systematic errors involve underreporting activities for a specific population; inaccurate re-coding of spatial information; and differences in data entry protocols, which have raised questions about the consistency of data submitted by different tracking agencies. The Central East Health Information Partnership (CEHIP) has identified a number of systematic errors in administrative databases and has documented many of these in reports distributed to partner organizations.

    This paper describes how some of these errors were identified and notes the processes that give rise to the loss of data integrity. The conclusion addresses some of the impacts these problems have for health planners, program managers and policy makers.

    Release date: 2002-09-12
  • 10. An information-rich environment: linked-record systems and data quality in Canada Archived
    Articles and reports: 11-522-X20010016238
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    Research programs building on population-based, longitudinal administrative data and record-linkage techniques are found in England, Scotland, the United States (the Mayo Clinic), Western Australia and Canada. These systems can markedly expand both the methodological and the substantive research in health and health care.

    This paper summarizes published, Canadian data quality studies regarding registries, hospital discharges, prescription drugs, and physician claims. It makes suggestions for improving registries, facilitating record linkage and expanding research into social epidemiology. New trends in case identification and health status measurement using administrative data have also been noted. And the differing needs for data quality research in each province have been highlighted.

    Release date: 2002-09-12
Stats in brief (1)

Stats in brief (1) ((1 result))

  • 1. Purchasing Power Parities and Real Expenditures: United States/Canada - Updates, 1992-2001 Archived
    Stats in brief: 13-604-M2002039
    Description:

    The latest annual results for the US/Canada purchasing power parities (PPPs) and real expenditures per head in the US compared with Canada are published in this paper. The data were developed for the period 1992 to 2001, using the latest US and Canada expenditure data from the National Accounts and price comparisons for 1999. The paper contains summaries of differences between the results of the multilateral (OECD) study and the Statistics Canada bilateral study. Some differences in classifications have been incorporated, as well as normal national Accounts revisions. Ten tables are presented in an Appendix for 21 categories of expenditure for the GDP.

    Release date: 2002-06-28
Articles and reports (105)

Articles and reports (105) (60 to 70 of 105 results)

  • 61. The challenge of improving the quality of internationally comparable data Archived
    Articles and reports: 11-522-X20010016292
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    Statistics can serve to benefit society, but, if manipulated politically or otherwise, statistics may also be used by the powerful as instruments to maintain the status quo or even to oppress. Statisticians working internationally, usually employed by international, supra-national or bilateral agencies, face a range of problems as they try to 'make a difference' in the lives of the poorest people in the world. One of the most difficult challenges statisticians face is the dilemma between open accountability and national sovereignty (in relation to what data are collected, the methods used and who is to have access to the results). Because of increasing globalization and new modalities of development co-operation and partnership, statisticians work in a constantly changing environment.

    This paper addresses the problems of improving the quality of cross-national data. This paper aims to raise consciousness of the role of statisticians at the international level; describe some of the constraints under which statisticians work; address principles which ought to govern the general activities of statisticians; and evaluate, in particular, the relevance of such principles to international statisticians. This paper also draws upon the recent Presidential Address to the Royal Statistical Society (Presented June 2001, JRSS Series D forthcoming).

    Release date: 2002-09-12
  • 62. Commercial telephone samples and component outcome rates Archived
    Articles and reports: 11-522-X20010016294
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists. Outcome rates in telephone surveys are usually based on an entire sample. However, telephone samples from commercial sample vendors contain identifiable subsets of records with very different probabilities of obtaining particular dispositions. In such a case, component outcome rates could vary in ways unrelated to rates based on the entire sample. The 2000 Behavioral Risk Factor Surveillance System (BRFSS) survey examines the degree to which selected outcome rates (by state, for different subsets of records) correlate with corresponding global rates. Although correlations tend to be large, not all cases are, making it worthwhile to examine component outcome rates.

    Release date: 2002-09-12
  • 63. Data estimation in the uniform crime reporting (UCR) program Archived
    Articles and reports: 11-522-X20010016295
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    In order to compensate for unreported, missing, unreasonable, or unusable data, the Uniform Crime Reporting (UCR) Program conducts data estimations and imputations using a variety of statistical methods. This paper illustrates how offence and arrest data are estimated using a variety of different approaches. The paper also points out the strengths and the shortcomings of each approach.

    Release date: 2002-09-12
  • 64. Coverage issues in the Canadian Labour Force Survey Archived
    Articles and reports: 11-522-X20010016296
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    The Canadian Labour Force Survey (LFS) is one of Statistics Canada's most important surveys. It is a monthly survey that collects data concerning the person's labour force status, the nature of the person's work or reason for not working, and the person's demographics. The survey sample consists of approximately 52,000 households. Coverage error is a measure of data quality that is important to any survey. One of the key measures of coverage error in the LFS is the percentage difference between the Census of Population estimates and the LFS population counts; this error is called slippage. A negative value indicates that the LFS has a problem of overcoverage, while a positive value indicates the LFS has an undercoverage problem. In general, slippage is positive, thus meaning that the LFS consistently misses people who should be enumerated.

    The purpose of this study was to determine why slippage is increasing and what can be done to remedy it. The study was conducted in two stages. The first stage was a historical review of the projects that have studied and tried to control slippage in the LFS, as well as the operational changes that have been implemented over time. The second stage was an analysis of factors such as vacancy rates, non-response, demographics, urban and rural status and the impact of these factors on the slippage rate.

    Release date: 2002-09-12
  • 65. A statistical analysis of response rates Archived
    Articles and reports: 11-522-X20010016297
    Description:

    This paper discusses in detail issues dealing with the technical aspects in designing and conducting surveys. It is intended for an audience of survey methodologists. The Danish National Institute of Social Research is an independent institution under the Ministry of Social Affairs. The Institute carries out surveys on social issues on encompassing a broad range of subjects. The Sustainable Financing Initiative Survey (SFI-SURVEY) is an economically independent section within the institute. SFI-SURVEY carries out scientific surveys both for the Institute, for other public organizations, and for the private sector as well. The SFI-SURVEY interviewer body has 450 interviewers spread throughout Denmark. There are five supervisors, each with a regional office, who are in contact with the interviewer body. On a yearly basis, SFI-SURVEY conducts 40 surveys. The average sample size (gross) is 1,000 persons. The average response rate is 75%. Since January 1999, the following information about the surveys have been recorded: · Type of method used (face-to-face or telephone) · Length of questionnaire (interviewing time in minutes) · Whether or not a folder was sent to the respondents in advance · Whether or not an interviewer instruction meeting was given · Number of interviews per interviewer per week · Whether or not the subject of the survey was of interest to the respondents · Interviewing month · Target group (random selection of the total population or special groups)

    Release date: 2002-09-12
  • 66. Quality measurement and reporting in the UK Office for National Statistics Archived
    Articles and reports: 11-522-X20010016298
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    This paper discusses the Office for National Statistics' (ONS) approach to developing systematic quality measurements and reporting methods. It is presented against the background of European developments and the growing demand for quality measurement. Measuring the quality of statistics presents considerable practical and methodological challenges. The paper describes the main building blocks to be used for the new quality measure program, and includes specific examples. Working with other national statistical institutions; and developing an enhanced measurement framework, output measurements, and reporting procedures, are all vital ingredients in achieving recognition of the ONS as a quality organization.

    Release date: 2002-09-12
  • 67. Qualifying quality: issues of presentation and education Archived
    Articles and reports: 11-522-X20010016300
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    The Australian Bureau of Statistics (ABS) produces many statistics that help the government and the wider community make more informed decisions. However, if these decisions are to be truly informed, it is essential that the users are able to understand the limitations of the statistics and how to use the data in an appropriate context. As a result, the ABS has initiated a project entitled Qualifying Quality, which focuses on two key directions: presentation and education. Presentation provides people with information about the quality of the data in order to help them answer the question "Are the data fit for the purpose?"; while education assists those people in appreciating the importance of information on quality and knowing how to use such information. In addressing these two issues, the project also aims to develop and identify processes and technical systems that will support and encourage the appropriate use of data.

    This paper provides an overview of the presentation and education initiatives which have arisen from this project. The paper then explores the different methods of presentation, the systems that support them, and how the education strategies interact with each other. In particular, the paper comments on the importance of supporting education strategies with well developed systems and appropriate presentation methods.

    Release date: 2002-09-12
  • 68. Role of the Integrated Metadatabase at Statistics Canada Archived
    Articles and reports: 11-522-X20010016301
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    The Integrated Metadatabase is a corporate repository of information for each of Statistics Canada's surveys. The information stored in the Integrated Metadatabase includes a description of data sources and methodology, definitions of concepts and variables measured, and indicators of data quality. It provides an effective vehicle for communicating data quality to data users. Its coverage of Statistics Canada's data holdings is exhaustive, the provided information on data quality complies with the Policy on Informing Users of Data Quality and Methodology, and it is presented in a consistent and systematic fashion.

    Release date: 2002-09-12
  • 69. Communicating quality: discussion Archived
    Articles and reports: 11-522-X20010016302
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    This session provides three more contributions to the continuing discussion concerning the national statistics offices' response to the topic of quality -in particular, the subtopic of communicating quality. These three papers make the important and necessary assumption that national statistical offices have an obligation to report the limitations of the data; users should know and understand those limitations; and, as a result of understanding the limitations, users ought to be able to determine whether the data are fit for their purposes.

    Release date: 2002-09-12
  • 70. Construction of imputation cells for the Canadian Labour Force Survey Archived
    Articles and reports: 11-522-X20010016303
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    In large-scale surveys, it is almost guaranteed that some level of non-response will occur. Generally, statistical agencies use imputation as a way to treat non-response items. A common preliminary step to imputation is the formation of imputation cells. In this article, the formation of these cells is studied using two methods. The first method is similar to that of Eltinge and Yansaneh (1997) in the case of weighting cells and the second is the method currently used in the Canadian Labour Force Survey. Using Labour Force data, simulation studies are performed to test the impact of the response rate, the response mechanism, and constraints on the quality of the point estimator in both methods.

    Release date: 2002-09-12
Journals and periodicals (1)

Journals and periodicals (1) ((1 result))

  • 1. Technical Report on the Analysis of Small Groups in the 1999 GSS Archived
    Journals and periodicals: 85F0036X
    Geography: Canada
    Description:

    This study documents the methodological and technical challenges that are involved in performing analysis on small groups using a sample survey, oversampling, response rate, non-response rate due to language, release feasibility and sampling variability. It is based on the 1999 General Social Survey (GSS) on victimization.

    Release date: 2002-05-14
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