A comparison of two methods to adjust for non-response bias: field substitution and weighting non-response adjusments based on response propensity

被引:12
|
作者
Vives, Alejandra [1 ,2 ]
Ferreccio, Catterina [1 ]
Marshall, Guillermo [1 ,3 ]
机构
[1] Pontificia Univ Catolica Chile, Dept Salud Publ, Santiago, Chile
[2] Univ Pompeu Fabra, Ctr Invest Salud, Barcelona, Spain
[3] Pontificia Univ Catolica Chile, Fac Matemat, Santiago, Chile
关键词
Non-response bias; Field substitution; Response propensity; POPULATION; RATES;
D O I
10.1016/j.gaceta.2009.01.006
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Unit non-response is a growing problem in sample Surveys that can bias survey estimates if respondents and non-respondents differ systematically. Objetives: To compare the results of two nonresponse adjustment methods: field substitution and weighting nonresponse adjustment based on response propensity. Methods: Field substitution and response propensity weights are used to adjust for non-response and their effect on the prevalence Of SIX Survey Outcomes is compared. Results: Although significant differences are found between respondents and non-respondents, only slight changes on prevalence estimates are observed after adjustment, with both techniques showing similar results. In the sole case of smoking, substitution seems to have further biased survey estimates. Conclusions: Our results suggest that when there is information available for both respondents and non-respondents, or if a careful sample Substitution process is performed, weighting adjustments based on response propensity and field substitution produce comparable results on prevalence estimates. (c) 2007 SESPAS. Published by Elsevier Espana, S.L. All rights reserved.
引用
收藏
页码:266 / 271
页数:6
相关论文
共 50 条
  • [1] Non-response bias versus response bias
    Sedgwick, Philip
    [J]. BMJ-BRITISH MEDICAL JOURNAL, 2014, 348
  • [2] On weighting the rates in non-response weights
    Little, RJ
    Vartivarian, S
    [J]. STATISTICS IN MEDICINE, 2003, 22 (09) : 1589 - 1599
  • [3] Partial optional randomized response technique with calibration weighting to adjust non-response in successive sampling
    Priyanka, Kumari
    Trisandhya, Pidugu
    Kumar, Ajay
    [J]. COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS, 2021, 28 (05) : 493 - 510
  • [4] POTENTIAL ERRORS BY NON-RESPONSE BIAS
    CRIQUI, MH
    [J]. AMERICAN JOURNAL OF PUBLIC HEALTH, 1980, 70 (12) : 1301 - 1302
  • [5] Non-response bias in a lifestyle survey
    Hill, A
    Roberts, J
    Ewings, P
    Gunnell, D
    [J]. JOURNAL OF PUBLIC HEALTH MEDICINE, 1997, 19 (02): : 203 - 207
  • [6] Estimating non-response bias in a survey on alcohol consumption: Comparison of response waves
    Lahaut, VMHCJ
    Jansen, HAM
    van de Mheen, D
    Garretsen, HFL
    Verdurmen, JEE
    van Dijk, A
    [J]. ALCOHOL AND ALCOHOLISM, 2003, 38 (02): : 128 - 134
  • [7] POTENTIAL ERRORS BY NON-RESPONSE BIAS - REPLY
    BARTON, J
    [J]. AMERICAN JOURNAL OF PUBLIC HEALTH, 1980, 70 (12) : 1302 - 1302
  • [8] Not another questionnaire! Maximizing the response rate, predicting non-response and assessing non-response bias in postal questionnaire studies of GPs
    Barclay, S
    Todd, C
    Finlay, I
    Grande, G
    Wyatt, P
    [J]. FAMILY PRACTICE, 2002, 19 (01) : 105 - 111
  • [9] Estimation of non-response bias in the Medicare FFSHOS
    McCall, N
    Khatutsky, G
    Smith, K
    Pope, GC
    [J]. HEALTH CARE FINANCING REVIEW, 2004, 25 (04): : 27 - 41
  • [10] Non-response bias in student evaluations of teaching
    Nowell, Clifford
    Gale, Lewis R.
    Kerkvliet, Joe
    [J]. INTERNATIONAL REVIEW OF ECONOMICS EDUCATION, 2014, 17 : 30 - 38