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How to do a grounded theory study: a worked example of a study of dental practices
Alexandra Sbaraini, Stacy M Carter, R Evans, Anthony Blinkhorn BMC Medical Research Methodology 2011, 11:128 (9 September 2011)
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| PubMed | Cited on BioMed Central
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A tutorial on pilot studies: the what, why and how
Lehana Thabane, Jinhui Ma, Rong Chu, Ji Cheng, Afisi Ismaila, Lorena P Rios, Reid Robson, Marroon Thabane, Lora Giangregorio, Charles H Goldsmith BMC Medical Research Methodology 2010, 10:1 (6 January 2010)
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| PubMed | Cited on BioMed Central
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The case study approach
Sarah Crowe, Kathrin Cresswell, Ann Robertson, Guro Huby, Anthony Avery, Aziz Sheikh BMC Medical Research Methodology 2011, 11:100 (27 June 2011)
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What is the most appropriate knowledge synthesis method to conduct a review? Protocol for a scoping review
Monika Kastner, Andrea C Tricco, Charlene Soobiah, Erin Lillie, Laure Perrier, Tanya Horsley, Vivian Welch, Elise Cogo, Jesmin Antony, Sharon E Straus BMC Medical Research Methodology 2012, 12:114 (3 August 2012)
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| PubMed | Cited on BioMed Central
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'You give us rangoli, we give you talk': using an art-based activity to elicit data from a seldom heard group
Sabi Redwood, Nicola K Gale, Sheila Greenfield BMC Medical Research Methodology 2012, 12:7 (30 January 2012)
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Qualitative systematic reviews of treatment burden in stroke, heart failure and diabetes - Methodological challenges and solutions
Katie Gallacher, Jani Bhautesh, Morrison Deborah, Macdonald Sara, Blane David, Erwin Patricia, May Carl R, Montori Victor M, Eton David T, Smith Fiona, Batty G David, Mair Frances S, and on behalf of the International Minimally Disruptive Medicine Workgroup BMC Medical Research Methodology 2013, 13:10 (28 January 2013)
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Evaluating audio computer assisted self-interviews in urban south African communities: evidence for good suitability and reduced social desirability bias of a cross-sectional survey on sexual behaviour
Roxanne Beauclair, Fei Meng, Nele Deprez, Marleen Temmerman, Alex Welte, Niel Hens, Wim Delva BMC Medical Research Methodology 2013, 13:11 (31 January 2013)
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Shape information from glucose curves: Functional data analysis compared with traditional summary measures
Kathrine Frey Frøslie, Jo Røislien, Elisabeth Qvigstad, Kristin Godang, Jens Bollerslev, Nanna Voldner, Tore Henriksen, Marit B Veierød BMC Medical Research Methodology 2013, 13:6 (17 January 2013)
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The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews
Penny Whiting, Anne WS Rutjes, Johannes B Reitsma, Patrick MM Bossuyt, Jos Kleijnen BMC Medical Research Methodology 2003, 3:25 (10 November 2003)
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Pragmatic controlled clinical trials in primary care: the struggle between external and internal validity
Marshall Godwin, Lucia Ruhland, Ian Casson, Susan MacDonald, Dianne Delva, Richard Birtwhistle, Miu Lam, Rachelle Seguin BMC Medical Research Methodology 2003, 3:28 (22 December 2003)
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Random allocation software for parallel group randomized trials
Mahmood Saghaei BMC Medical Research Methodology 2004, 4:26 (9 November 2004)
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Methodological bias in cluster randomised trials
Seokyung Hahn, Suezann Puffer, David J Torgerson, Judith Watson BMC Medical Research Methodology 2005, 5:10 (2 March 2005)
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An alternative to the hand searching gold standard: validating methodological search filters using relative recall
Margaret Sampson, Li Zhang, Andra Morrison, Nicholas J Barrowman, Tammy J Clifford, Robert W Platt, Terry P Klassen, David Moher BMC Medical Research Methodology 2006, 6:33 (18 July 2006)
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Editor’s summary
Methodological search filters can be validated against existing systematic reviews which used variants of the highly sensitive search strategy instead of against hand searches.
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Visual inspection with acetic acid as a cervical cancer test: accuracy validated using latent class analysis
Lynne Gaffikin, John A McGrath, Marc Arbyn, Paul D Blumenthal BMC Medical Research Methodology 2007, 7:36 (31 July 2007)
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Reducing bias through directed acyclic graphs
Ian Shrier, Robert W Platt BMC Medical Research Methodology 2008, 8:70 (30 October 2008)
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| PubMed | Cited on BioMed Central
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Editor’s summary
A simple 6-step approach to applying direct acyclic graphs in biomedical research may aid researchers to more accurately identify and adjust for multiple confounding effects and reduce the degree of bias better than traditional methods.
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