110 related articles for article (PubMed ID: 33850669)
1. Differences in Efficiencies Between ABS and RDD Samples by Mode of Data Collection.
Pierannunzi C; Gamble S; Locke R; Freedner N; Town M
Surv Pract; 2019 Aug; 12(1):1-12. PubMed ID: 33850669
[TBL] [Abstract][Full Text] [Related]
2. The Use of Multimode Data Collection in Random Digit Dialing Cell Phone Surveys for Young Adults: Feasibility Study.
Gundersen DA; Wivagg J; Young WJ; Yan T; Delnevo CD
J Med Internet Res; 2021 Dec; 23(12):e31545. PubMed ID: 34932017
[TBL] [Abstract][Full Text] [Related]
3. The Effectiveness of Advance Letters for Cell Telephone Samples.
Skalland B; Zhao Z; Jeyarajah J
Proc Am Stat Assoc; 2014 May; 20(May 15-18 2014):. PubMed ID: 32322181
[TBL] [Abstract][Full Text] [Related]
4. Estimating Web Survey Mode and Panel Effects in a Nationwide Survey of Alcohol Use.
ZuWallack R; Jans M; Brassell T; Bailly K; Dayton J; Martinez P; Patterson D; Greenfield TK; Karriker-Jaffe KJ
J Surv Stat Methodol; 2023 Nov; 11(5):1089-1109. PubMed ID: 38028817
[TBL] [Abstract][Full Text] [Related]
5. Random digit dialling and Electronic White Pages samples compared: demographic profiles and health estimates.
Wilson DH; Starr GJ; Taylor AW; Dal Grande E
Aust N Z J Public Health; 1999 Dec; 23(6):627-33. PubMed ID: 10641355
[TBL] [Abstract][Full Text] [Related]
6. Comparison of address-based sampling and random-digit dialing methods for recruiting young men as controls in a case-control study of testicular cancer susceptibility.
Clagett B; Nathanson KL; Ciosek SL; McDermoth M; Vaughn DJ; Mitra N; Weiss A; Martonik R; Kanetsky PA
Am J Epidemiol; 2013 Dec; 178(11):1638-47. PubMed ID: 24008901
[TBL] [Abstract][Full Text] [Related]
7. Inclusion of mobile phone numbers into an ongoing population health survey in New South Wales, Australia: design, methods, call outcomes, costs and sample representativeness.
Barr ML; van Ritten JJ; Steel DG; Thackway SV
BMC Med Res Methodol; 2012 Nov; 12():177. PubMed ID: 23173849
[TBL] [Abstract][Full Text] [Related]
8. Does sampling using random digit dialling really cost more than sampling from telephone directories: debunking the myths.
Yang B; Eyeson-Annan M
BMC Med Res Methodol; 2006 Feb; 6():6. PubMed ID: 16504117
[TBL] [Abstract][Full Text] [Related]
9. Conducting Community Health Needs Assessments in the Local Public Health Department: A Comparison of Random Digit Dialing and the Community Assessment for Public Health Emergency Response.
Stone K; Sierocki A; Shah V; Ylitalo KR; Horney JA
J Public Health Manag Pract; 2018; 24(2):155-163. PubMed ID: 28141672
[TBL] [Abstract][Full Text] [Related]
10. Differences between RDD telephone and ABS mail survey design: coverage, unit nonresponse, and measurement error.
Peytchev A; Ridenhour J; Krotki K
J Health Commun; 2010; 15 Suppl 3():117-34. PubMed ID: 21154088
[TBL] [Abstract][Full Text] [Related]
11. The future of random-digit-dial surveys for injury prevention and violence research.
Link MW; Kresnow MJ
Am J Prev Med; 2006 Nov; 31(5):444-50. PubMed ID: 17046417
[TBL] [Abstract][Full Text] [Related]
12. A Comparison of Web and Telephone Responses From a National HIV and AIDS Survey.
Jones MK; Calzavara L; Allman D; Worthington CA; Tyndall M; Iveniuk J
JMIR Public Health Surveill; 2016 Jul; 2(2):e37. PubMed ID: 27473597
[TBL] [Abstract][Full Text] [Related]
13. Estimation tools for reducing the impact of sampling and nonresponse errors in dual-frame RDD telephone surveys.
Wolter KM; Ganesh N; Copeland KR; Singleton JA; Khare M
Stat Med; 2019 Oct; 38(23):4718-4732. PubMed ID: 31418889
[TBL] [Abstract][Full Text] [Related]
14. Mixing modes in a population-based interview survey: comparison of a sequential and a concurrent mixed-mode design for public health research.
Mauz E; von der Lippe E; Allen J; Schilling R; Müters S; Hoebel J; Schmich P; Wetzstein M; Kamtsiuris P; Lange C
Arch Public Health; 2018; 76():8. PubMed ID: 29423220
[TBL] [Abstract][Full Text] [Related]
15. Effects of enhanced calling efforts on response rates, estimates of health behavior, and costs in a telephone health survey using random-digit dialing.
Kristal AR; White E; Davis JR; Corycell G; Raghunathan T; Kinne S; Lin TK
Public Health Rep; 1993; 108(3):372-9. PubMed ID: 8497576
[TBL] [Abstract][Full Text] [Related]
16. Address-based versus random-digit-dial surveys: comparison of key health and risk indicators.
Link MW; Battaglia MP; Frankel MR; Osborn L; Mokdad AH
Am J Epidemiol; 2006 Nov; 164(10):1019-25. PubMed ID: 16968861
[TBL] [Abstract][Full Text] [Related]
17. Fruit and vegetable intake of US adults: comparing intake by mode of survey administration.
Erinosho TO; Thompson OM; Moser RP; Yaroch AL
J Am Diet Assoc; 2011 Mar; 111(3):408-13. PubMed ID: 21338740
[TBL] [Abstract][Full Text] [Related]
18. Outcomes of Population Surveillance Data Collection Pilots and the Behavioral Risk Factor Surveillance System: What Happens in Texas.
Kirtland K; Garvin W; Yan T; Cavazos M; Berzofsky M; Freedner N; Muldavin B; Levine B; Gamble S; Town M
Surv Pract; 2023 Sep; 16(1):1-12. PubMed ID: 37753245
[TBL] [Abstract][Full Text] [Related]
19. Alternative strategies for selecting population controls: comparison of random digit dialing and targeted telephone calls.
Funkhouser E; Macaluso M; Wang X
Ann Epidemiol; 2000 Jan; 10(1):59-67. PubMed ID: 10658689
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
