These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
166 related articles for article (PubMed ID: 23288431)
1. Improving gambling survey research using dual-frame sampling of landline and mobile phone numbers. Jackson AC; Pennay D; Dowling NA; Coles-Janess B; Christensen DR J Gambl Stud; 2014 Jun; 30(2):291-307. PubMed ID: 23288431 [TBL] [Abstract][Full Text] [Related]
2. National estimates of Australian gambling prevalence: f indings from a dual-frame omnibus survey. Dowling NA; Youssef GJ; Jackson AC; Pennay DW; Francis KL; Pennay A; Lubman DI Addiction; 2016 Mar; 111(3):420-35. PubMed ID: 26381314 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. Surveying alcohol and other drug use through telephone sampling: a comparison of landline and mobile phone samples. Livingston M; Dietze P; Ferris J; Pennay D; Hayes L; Lenton S BMC Med Res Methodol; 2013 Mar; 13():41. PubMed ID: 23497161 [TBL] [Abstract][Full Text] [Related]
5. The impact of the mode of survey administration on estimates of daily smoking for mobile phone only users. Hanna J; Cordery DV; Steel DG; Davis W; Harrold TC BMC Med Res Methodol; 2017 Apr; 17(1):65. PubMed ID: 28427334 [TBL] [Abstract][Full Text] [Related]
6. Developing a weighting strategy to include mobile phone numbers into an ongoing population health survey using an overlapping dual-frame design with limited benchmark information. Barr ML; Ferguson RA; Hughes PJ; Steel DG BMC Med Res Methodol; 2014 Sep; 14():102. PubMed ID: 25189826 [TBL] [Abstract][Full Text] [Related]
7. Bias of health estimates obtained from chronic disease and risk factor surveillance systems using telephone population surveys in Australia: results from a representative face-to-face survey in Australia from 2010 to 2013. Dal Grande E; Chittleborough CR; Campostrini S; Taylor AW BMC Med Res Methodol; 2016 Apr; 16():44. PubMed ID: 27089889 [TBL] [Abstract][Full Text] [Related]
8. Sampling and coverage issues of telephone surveys used for collecting health information in Australia: results from a face-to-face survey from 1999 to 2008. Dal Grande E; Taylor AW BMC Med Res Methodol; 2010 Aug; 10():77. PubMed ID: 20738884 [TBL] [Abstract][Full Text] [Related]
9. Inclusion of mobile telephone numbers into an ongoing population health survey in New South Wales, Australia, using an overlapping dual-frame design: impact on the time series. Barr ML; Ferguson RA; Steel DG BMC Res Notes; 2014 Aug; 7():517. PubMed ID: 25113743 [TBL] [Abstract][Full Text] [Related]
10. Recruitment using mobile telephones in an Irish general population sexual health survey: challenges and practical solutions. McBride O; Morgan K; McGee H BMC Med Res Methodol; 2012 Apr; 12():45. PubMed ID: 22475155 [TBL] [Abstract][Full Text] [Related]
11. Improving public health surveillance using a dual-frame survey of landline and cell phone numbers. Hu SS; Balluz L; Battaglia MP; Frankel MR Am J Epidemiol; 2011 Mar; 173(6):703-11. PubMed ID: 21343246 [TBL] [Abstract][Full Text] [Related]
12. Differences Between Landline and Mobile Phone Users in Sexual Behavior Research. Badcock PB; Patrick K; Smith AMA; Simpson JM; Pennay D; Rissel CE; de Visser RO; Grulich AE; Richters J Arch Sex Behav; 2017 Aug; 46(6):1711-1721. PubMed ID: 27671783 [TBL] [Abstract][Full Text] [Related]
13. Public Attitudes Toward the Police: Findings From a Dual-Frame Telephone Survey. He NP; Ren L; Zhao JS; Bills MA Int J Offender Ther Comp Criminol; 2018 May; 62(7):1992-2015. PubMed ID: 28201929 [TBL] [Abstract][Full Text] [Related]
14. Growing cell-phone population and noncoverage bias in traditional random digit dial telephone health surveys. Lee S; Brick JM; Brown ER; Grant D Health Serv Res; 2010 Aug; 45(4):1121-39. PubMed ID: 20500221 [TBL] [Abstract][Full Text] [Related]
15. [Potential selection bias in telephone surveys: landline and mobile phones]. Garcia-Continente X; Pérez-Giménez A; López MJ; Nebot M Gac Sanit; 2014; 28(2):170-2. PubMed ID: 24300381 [TBL] [Abstract][Full Text] [Related]
16. Moving towards a single-frame cell phone design in random digit dialing surveys: considerations from a French general population health survey. Soullier N; Legleye S; Richard JB BMC Med Res Methodol; 2022 Apr; 22(1):94. PubMed ID: 35369861 [TBL] [Abstract][Full Text] [Related]
17. Profiling the mobile-only population in Australia: insights from the Australian National Health Survey. Baffour B; Haynes M; Dinsdale S; Western M; Pennay D Aust N Z J Public Health; 2016 Oct; 40(5):443-447. PubMed ID: 27372061 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. Summary of the Impact of the Inclusion of Mobile Phone Numbers into the NSW Population Health Survey in 2012. Barr M; Ferguson R; van Ritten J; Hughes P; Steel D AIMS Public Health; 2015; 2(2):210-217. PubMed ID: 29546105 [TBL] [Abstract][Full Text] [Related]
20. Design and operation of the National Survey of Children with Special Health Care Needs, 2009-2010. Bramlett MD; Blumberg SJ; Ormson AE; George JM; Williams KL; Frasier AM; Skalland BJ; Santos KB; Vsetecka DM; Morrison HM; Pedlow S; Wang F Vital Health Stat 1; 2014 Nov; (57):1-271. PubMed ID: 25383698 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]