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Bruce Levin - One of the best experts on this subject based on the ideXlab platform.

  • evaluation of random digit dialing as a method of control selection in case control Studies
    American Journal of Epidemiology, 1992
    Co-Authors: Sara H Olson, Thomas A. Pearson, Jennifer L. Kelsey, Bruce Levin
    Abstract:

    : Control groups selected by random digit dialing are frequently used in Case-Control Studies. Concern about the potential for bias in these control groups has been expressed, primarily because of low response rates. This study compares the characteristics of a hypothetical control group consisting of 341 men and women aged 40-74 years, selected by random digit dialing and participating in an interview in 1990, with the characteristics of 15,563 men and women aged 40-74 years who participated in a privately conducted census in the same upstate New York county in 1989. For most measures, no differences were seen between the random digit dialing sample and the census population. However, the hypothetical control group was more likely to have had their cholesterol checked in the past 2 years and was somewhat more likely to have had other screening tests as well. In addition, the hypothetical control group was somewhat better educated. The results suggest that, at least in this setting, control groups selected by random digit dialing are representative of the general population in most respects; however, caution should be used when studying the relation between screening tests and disease occurrence by means of Case-Control Studies using controls selected by random digit dialing.

  • Evaluation of Random Digit Dialing as a Method of Control Selection in Case–Control Studies
    American Journal of Epidemiology, 1992
    Co-Authors: Sara H Olson, Thomas A. Pearson, Jennifer L. Kelsey, Bruce Levin
    Abstract:

    Control groups selected by random digit dialing are frequently used in Case-Control Studies. Concern about the potential for bias in these control groups has been expressed, primarily because of low response rates. This study compares the characteristics of a hypothetical control group consisting of 341 men and women aged 40-74 years, selected by random digit dialing and participating in an interview in 1990, with the characteristics of 15,563 men and women aged 40-74 years who participated in a privately conducted census in the same upstate New York county in 1989. For most measures, no differences were seen between the random digit dialing sample and the census population. However, the hypothetical control group was more likely to have had their cholesterol checked in the past 2 years and was somewhat more likely to have had other screening tests as well. In addition, the hypothetical control group was somewhat better educated. The results suggest that, at least in this setting, control groups selected by random digit dialing are representative of the general population in most respects; however, caution should be used when studying the relation between screening tests and disease occurrence by means of Case-Control Studies using controls selected by random digit dialing.

Sara H Olson - One of the best experts on this subject based on the ideXlab platform.

  • evaluation of random digit dialing as a method of control selection in case control Studies
    American Journal of Epidemiology, 1992
    Co-Authors: Sara H Olson, Thomas A. Pearson, Jennifer L. Kelsey, Bruce Levin
    Abstract:

    : Control groups selected by random digit dialing are frequently used in Case-Control Studies. Concern about the potential for bias in these control groups has been expressed, primarily because of low response rates. This study compares the characteristics of a hypothetical control group consisting of 341 men and women aged 40-74 years, selected by random digit dialing and participating in an interview in 1990, with the characteristics of 15,563 men and women aged 40-74 years who participated in a privately conducted census in the same upstate New York county in 1989. For most measures, no differences were seen between the random digit dialing sample and the census population. However, the hypothetical control group was more likely to have had their cholesterol checked in the past 2 years and was somewhat more likely to have had other screening tests as well. In addition, the hypothetical control group was somewhat better educated. The results suggest that, at least in this setting, control groups selected by random digit dialing are representative of the general population in most respects; however, caution should be used when studying the relation between screening tests and disease occurrence by means of Case-Control Studies using controls selected by random digit dialing.

  • Evaluation of Random Digit Dialing as a Method of Control Selection in Case–Control Studies
    American Journal of Epidemiology, 1992
    Co-Authors: Sara H Olson, Thomas A. Pearson, Jennifer L. Kelsey, Bruce Levin
    Abstract:

    Control groups selected by random digit dialing are frequently used in Case-Control Studies. Concern about the potential for bias in these control groups has been expressed, primarily because of low response rates. This study compares the characteristics of a hypothetical control group consisting of 341 men and women aged 40-74 years, selected by random digit dialing and participating in an interview in 1990, with the characteristics of 15,563 men and women aged 40-74 years who participated in a privately conducted census in the same upstate New York county in 1989. For most measures, no differences were seen between the random digit dialing sample and the census population. However, the hypothetical control group was more likely to have had their cholesterol checked in the past 2 years and was somewhat more likely to have had other screening tests as well. In addition, the hypothetical control group was somewhat better educated. The results suggest that, at least in this setting, control groups selected by random digit dialing are representative of the general population in most respects; however, caution should be used when studying the relation between screening tests and disease occurrence by means of Case-Control Studies using controls selected by random digit dialing.

Jennifer L. Kelsey - One of the best experts on this subject based on the ideXlab platform.

  • evaluation of random digit dialing as a method of control selection in case control Studies
    American Journal of Epidemiology, 1992
    Co-Authors: Sara H Olson, Thomas A. Pearson, Jennifer L. Kelsey, Bruce Levin
    Abstract:

    : Control groups selected by random digit dialing are frequently used in Case-Control Studies. Concern about the potential for bias in these control groups has been expressed, primarily because of low response rates. This study compares the characteristics of a hypothetical control group consisting of 341 men and women aged 40-74 years, selected by random digit dialing and participating in an interview in 1990, with the characteristics of 15,563 men and women aged 40-74 years who participated in a privately conducted census in the same upstate New York county in 1989. For most measures, no differences were seen between the random digit dialing sample and the census population. However, the hypothetical control group was more likely to have had their cholesterol checked in the past 2 years and was somewhat more likely to have had other screening tests as well. In addition, the hypothetical control group was somewhat better educated. The results suggest that, at least in this setting, control groups selected by random digit dialing are representative of the general population in most respects; however, caution should be used when studying the relation between screening tests and disease occurrence by means of Case-Control Studies using controls selected by random digit dialing.

  • Evaluation of Random Digit Dialing as a Method of Control Selection in Case–Control Studies
    American Journal of Epidemiology, 1992
    Co-Authors: Sara H Olson, Thomas A. Pearson, Jennifer L. Kelsey, Bruce Levin
    Abstract:

    Control groups selected by random digit dialing are frequently used in Case-Control Studies. Concern about the potential for bias in these control groups has been expressed, primarily because of low response rates. This study compares the characteristics of a hypothetical control group consisting of 341 men and women aged 40-74 years, selected by random digit dialing and participating in an interview in 1990, with the characteristics of 15,563 men and women aged 40-74 years who participated in a privately conducted census in the same upstate New York county in 1989. For most measures, no differences were seen between the random digit dialing sample and the census population. However, the hypothetical control group was more likely to have had their cholesterol checked in the past 2 years and was somewhat more likely to have had other screening tests as well. In addition, the hypothetical control group was somewhat better educated. The results suggest that, at least in this setting, control groups selected by random digit dialing are representative of the general population in most respects; however, caution should be used when studying the relation between screening tests and disease occurrence by means of Case-Control Studies using controls selected by random digit dialing.

Thomas A. Pearson - One of the best experts on this subject based on the ideXlab platform.

  • evaluation of random digit dialing as a method of control selection in case control Studies
    American Journal of Epidemiology, 1992
    Co-Authors: Sara H Olson, Thomas A. Pearson, Jennifer L. Kelsey, Bruce Levin
    Abstract:

    : Control groups selected by random digit dialing are frequently used in Case-Control Studies. Concern about the potential for bias in these control groups has been expressed, primarily because of low response rates. This study compares the characteristics of a hypothetical control group consisting of 341 men and women aged 40-74 years, selected by random digit dialing and participating in an interview in 1990, with the characteristics of 15,563 men and women aged 40-74 years who participated in a privately conducted census in the same upstate New York county in 1989. For most measures, no differences were seen between the random digit dialing sample and the census population. However, the hypothetical control group was more likely to have had their cholesterol checked in the past 2 years and was somewhat more likely to have had other screening tests as well. In addition, the hypothetical control group was somewhat better educated. The results suggest that, at least in this setting, control groups selected by random digit dialing are representative of the general population in most respects; however, caution should be used when studying the relation between screening tests and disease occurrence by means of Case-Control Studies using controls selected by random digit dialing.

  • Evaluation of Random Digit Dialing as a Method of Control Selection in Case–Control Studies
    American Journal of Epidemiology, 1992
    Co-Authors: Sara H Olson, Thomas A. Pearson, Jennifer L. Kelsey, Bruce Levin
    Abstract:

    Control groups selected by random digit dialing are frequently used in Case-Control Studies. Concern about the potential for bias in these control groups has been expressed, primarily because of low response rates. This study compares the characteristics of a hypothetical control group consisting of 341 men and women aged 40-74 years, selected by random digit dialing and participating in an interview in 1990, with the characteristics of 15,563 men and women aged 40-74 years who participated in a privately conducted census in the same upstate New York county in 1989. For most measures, no differences were seen between the random digit dialing sample and the census population. However, the hypothetical control group was more likely to have had their cholesterol checked in the past 2 years and was somewhat more likely to have had other screening tests as well. In addition, the hypothetical control group was somewhat better educated. The results suggest that, at least in this setting, control groups selected by random digit dialing are representative of the general population in most respects; however, caution should be used when studying the relation between screening tests and disease occurrence by means of Case-Control Studies using controls selected by random digit dialing.

Sholom Wacholder - One of the best experts on this subject based on the ideXlab platform.

  • Design issues in Case-Control Studies.
    Statistical methods in medical research, 1995
    Co-Authors: Sholom Wacholder
    Abstract:

    The most difficult and most important considerations in planning the protocol of a Case-Control study are ascertainment of cases, selection of controls and the quality of the exposure measurement. Plans to ensure careful field work are equally important; without attention to data collection, the protocol will be meaningless. In most Case-Control Studies, the measurement problem is magnified because one cannot implement the collection of exposure information at the beginning of follow-up, and instead must rely on interviews, existing records or extrapolation into the past. Consideration of a Case-Control study as an efficient way to study a cohort helps to resolve some design issues.

  • Selection of Controls in Case-Control Studies: II. Types of Controls
    American Journal of Epidemiology, 1992
    Co-Authors: Sholom Wacholder, Joseph K Mclaughlin, Debra T Silverman, Jack S Mandel
    Abstract:

    Types of control groups are evaluated using the principles described in paper 1 of the series, "Selection of Controls in Case-Control Studies" (S. Wacholder et al. Am J Epidemiol 1992;135:1019-28). Advantages and disadvantages of population controls, neighborhood controls, hospital or registry controls, medical practice controls, friend controls, and relative controls are considered. Problems with the use of deceased controls and proxy respondents are discussed. Am J Epidemiol 1992;135:1029-41.

  • selection of controls in case control Studies iii design options
    American Journal of Epidemiology, 1992
    Co-Authors: Sholom Wacholder, Joseph K Mclaughlin, Debra T Silverman, Jack S Mandel
    Abstract:

    Abstract Several design options available in the planning stage of Case-Control Studies are examined. Topics covered include matching, control/case ratio, choice of nested Case-Control or case-cohort design, two-stage sampling, and other methods that can be used for control selection. The effect of potential problems in obtaining comparable accuracy of exposure is also examined. A discussion of the difficulty in meeting the principles of study base, deconfounding, and comparable accuracy (S. Wacholder et al. Am J Epidemiol 1992;135:1019-28) in a single study completes this series of papers.