Literature DB >> 10069242

Raising response rates: getting to yes.

P Hartge.   

Abstract

Mesh：

Year:  1999        PMID： 10069242     DOI： 10.1097/00001648-199903000-00003

Source DB:  PubMed          Journal:  Epidemiology        ISSN： 1044-3983            Impact factor:   4.822


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  17 in total

1.  Workplace harassment patterning, gender, and utilization of professional services: findings from a US national study.

Authors:  Candice A Shannon; Kathleen M Rospenda; Judith A Richman
Journal:  Soc Sci Med       Date:  2006-12-12       Impact factor: 4.634

2.  Response in individuals with and without foreign background and application to the National Cohort in Germany: which factors have an effect?

Authors:  Volker Winkler; Michael Leitzmann; Nadia Obi; Wolfgang Ahrens; Thomas Edinger; Guido Giani; Jakob Linseisen; Markus Löffler; Karin Michels; Ute Nöthlings; Sabine Schipf; Alexander Kluttig; H-Erich Wichmann; Barbara Hoffmann; Karl-Heinz Jöckel; Heiko Becher
Journal:  Int J Public Health       Date:  2014-01-05       Impact factor: 3.380

3.  A modified random walk door-to-door recruitment strategy for collecting social and biological data relating to mental health, substance use, addiction, and violence problems in a Canadian community.

Authors:  Andrea Flynn; Paul F Tremblay; Jürgen Rehm; Samantha Wells
Journal:  Int J Alcohol Drug Res       Date:  2013-06-09

4.  Pharmacy students' knowledge and perceptions about pharmacovigilance in Malaysian public universities.

Authors:  Ramadan Mohamed Elkalmi; Mohamed Azmi Hassali; Mohamed Izham M Ibrahim; Riyanto T Widodo; Qais M A Efan; Muhammad Abdul Hadi
Journal:  Am J Pharm Educ       Date:  2011-06-10       Impact factor: 2.047

5.  Selection by socioeconomic factors into the Danish National Birth Cohort.

Authors:  Tine Neermann Jacobsen; Ellen Aagaard Nohr; Morten Frydenberg
Journal:  Eur J Epidemiol       Date:  2010-03-27       Impact factor: 8.082

6.  Non-participation and mortality in different socioeconomic groups: the FINRISK population surveys in 1972-92.

Authors:  Kennet Harald; Veikko Salomaa; Pekka Jousilahti; Seppo Koskinen; Erkki Vartiainen
Journal:  J Epidemiol Community Health       Date:  2007-05       Impact factor: 3.710

7.  Baseline recruitment and analyses of nonresponse of the Heinz Nixdorf Recall Study: identifiability of phone numbers as the major determinant of response.

Authors:  A Stang; S Moebus; N Dragano; E M Beck; S Möhlenkamp; A Schmermund; J Siegrist; R Erbel; K H Jöckel
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

8.  Deployment of a mixed-mode data collection strategy does not reduce nonresponse bias in a general population health survey.

Authors:  Timothy J Beebe; Donna D McAlpine; Jeanette Y Ziegenfuss; Sarah Jenkins; Lindsey Haas; Michael E Davern
Journal:  Health Serv Res       Date:  2012-01-17       Impact factor: 3.402

9.  Participation bias and its impact on the assembly of a genetic specimen repository for a myocardial infarction cohort.

Authors:  Adelaide M Arruda-Olson; Susan A Weston; Brooke L Fridley; Jill M Killian; Ellen E Koepsell; Véronique L Roger
Journal:  Mayo Clin Proc       Date:  2007-10       Impact factor: 7.616

10.  Telephone follow-up to a mail survey: when to offer an interview compared to a reminder call.

Authors:  Jeanette Y Ziegenfuss; Kelly R Burmeister; Ann Harris; Stefan D Holubar; Timothy J Beebe
Journal:  BMC Med Res Methodol       Date:  2012-03-20       Impact factor: 4.615
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