1. Ball HL. Conducting online surveys. J Hum Lact. 2019; 35(3):413–417. PMID:
31084575.
![crossref](/image/icon/bnr_ref_cross.gif)
2. Gupta L, Muhammed H, Naveen R, Kharbanda R, Gangadharan H, Misra DP, et al. Insights into the knowledge, attitude and practices for the treatment of idiopathic inflammatory myopathy from a cross-sectional cohort survey of physicians. Rheumatol Int. 2020; 40:2047–2055. PMID:
32880031.
![crossref](/image/icon/bnr_ref_cross.gif)
3. Jones TL, Baxter MA, Khanduja V. A quick guide to survey research. Ann R Coll Surg Engl. 2013; 95(1):5–7. PMID:
23317709.
![crossref](/image/icon/bnr_ref_cross.gif)
4. Gupta L, Lilleker J, Agarwal V, Chinoy H, Agarwal R.COVID-19 and myositis- unique challenges for patients. Rheumatology (Oxford). Forthcoming 2020. DOI:
10.1093/rheumatology/keaa610.
5. Davis RE, Couper MP, Janz NK, Caldwell CH, Resnicow K. Interviewer effects in public health surveys. Health Educ Res. 2010; 25(1):14–26. PMID:
19762354.
![crossref](/image/icon/bnr_ref_cross.gif)
6. Schweigman KP, Fabsitz RR, Sorlie P, Welty TK. Respondent bias in the collection of alcohol and tobacco data in American Indians: the Strong Heart Study. Am Indian Alsk Native Ment Health Res. 2000; 9(3):1–19.
7. Wantland DJ, Portillo CJ, Holzemer WL, Slaughter R, McGhee EM. The effectiveness of Web-based vs. non-Web-based interventions: a meta-analysis of behavioral change outcomes. J Med Internet Res. 2004; 6(4):e40. PMID:
15631964.
![crossref](/image/icon/bnr_ref_cross.gif)
8. Mahon-Haft TA, Dillman DA. Does visual appeal matter? Effects of web survey aesthetics on survey quality. Surv Res Methods. 2010; 4(1):43–59.
9. Connor Desai S, Reimers S. Comparing the use of open and closed questions for Web-based measures of the continued-influence effect. Behav Res Methods. 2019; 51(3):1426–1440. PMID:
29943224.
![crossref](/image/icon/bnr_ref_cross.gif)
11. Ye H, Cheng X, Yuan M, Xu L, Gao J, Cheng C, et al. A survey of security and privacy in big data. In : 16th International Symposium on Communications and Information Technologies (ISCIT), Qingdao; Piscataway, NJ; Institute of Electrical and Electronics Engineers. 2016. p. 268–272.
12. Rossman H, Keshet A, Shilo S, Gavrieli A, Bauman T, Cohen O, et al. A framework for identifying regional outbreak and spread of COVID-19 from one-minute population-wide surveys. Nat Med. 2020; 26(5):634–638. PMID:
32273611.
![crossref](/image/icon/bnr_ref_cross.gif)
13. Gewin V. Safely conducting essential research in the face of COVID-19. Nature. 2020; 580(7804):549–550. PMID:
32246121.
![crossref](/image/icon/bnr_ref_cross.gif)
14. Jeon J, Kim H, Yu KS. The impact of COVID-19 on the conduct of clinical trials for medical products in Korea. J Korean Med Sci. 2020; 35(36):e329. PMID:
32924344.
![crossref](/image/icon/bnr_ref_cross.gif)
15. Farley-Ripple EN, Oliver K, Boaz A. Mapping the community: use of research evidence in policy and practice. Humanit Soc Sci Commun. 2020; 7(1):83.
![crossref](/image/icon/bnr_ref_cross.gif)
16. van Teijlingen E, Hundley V. The importance of pilot studies. Nurs Stand. 2002; 16(40):33–36.
![crossref](/image/icon/bnr_ref_cross.gif)
17. Kelley K, Clark B, Brown V, Sitzia J. Good practice in the conduct and reporting of survey research. Int J Qual Health Care. 2003; 15(3):261–266. PMID:
12803354.
![crossref](/image/icon/bnr_ref_cross.gif)
18. Gupta L, Misra DP, Agarwal V, Balan S, Agarwal V. Management of rheumatic diseases in the time of covid-19 pandemic: perspectives of rheumatology practitioners from India. Ann Rheum Dis. Forthcoming 2020. DOI:
10.1136/annrheumdis-2020-217509.
![crossref](/image/icon/bnr_ref_cross.gif)
19. Choi IS, Choi EY, Lee IH. Challenges in informed consent decision-making in Korean clinical research: a participant perspective. PLoS One. 2019; 14(5):e0216889. PMID:
31120918.
![crossref](/image/icon/bnr_ref_cross.gif)
20. Teisl MF, Roe B, Vayda ME. Incentive effects on response rates, data quality, and survey administration costs. Int J Public Opin Res. 2006; 18(3):364–373.
![crossref](/image/icon/bnr_ref_cross.gif)
21. Garg PK. Financial incentives to reviewers: double-edged sword. J Korean Med Sci. 2015; 30(6):832–833.
![crossref](/image/icon/bnr_ref_cross.gif)
22. Schaeffer NC, Dykema J. Questions for surveys: current trends and future directions. Public Opin Q. 2011; 75(5):909–961. PMID:
24970951.
![crossref](/image/icon/bnr_ref_cross.gif)
23. Moore DW. Measuring new types of question-order effects. Public Opin Q. 2002; 66(1):80–91.
![crossref](/image/icon/bnr_ref_cross.gif)
24. Yan T, Tourangeau R. Fast times and easy questions: the effects of age, experience and question complexity on web survey response times. Appl Cogn Psychol. 2008; 22(1):51–68.
![crossref](/image/icon/bnr_ref_cross.gif)
25. Burchell B, Marsh C. The effect of questionnaire length on survey response. Qual Quant. 1992; 26(3):233–244.
![crossref](/image/icon/bnr_ref_cross.gif)
26. Krause N. A comprehensive strategy for developing closed-ended survey items for use in studies of older adults. J Gerontol B Psychol Sci Soc Sci. 2002; 57(5):S263–74. PMID:
12198106.
![crossref](/image/icon/bnr_ref_cross.gif)
27. Weller SC, Vickers B, Bernard HR, Blackburn AM, Borgatti S, Gravlee CC, et al. Open-ended interview questions and saturation. PLoS One. 2018; 13(6):e0198606. PMID:
29924873.
![crossref](/image/icon/bnr_ref_cross.gif)
28. Tourangeau R, Sun H, Conrad FG, Couper MP. Examples in open-ended survey questions. Int J Public Opin Res. 2017; 29(4):690–702.
![crossref](/image/icon/bnr_ref_cross.gif)
29. Younas A, Porr C. A step-by-step approach to developing scales for survey research. Nurse Res. 2018; 26(3):14–19.
![crossref](/image/icon/bnr_ref_cross.gif)
30. Gheita TA, Salem MN, Eesa NN, Khalil NM, Gamal NM, Noor RA, et al. Rheumatologists' practice during the Coronavirus disease 2019 (COVID-19) pandemic: a survey in Egypt. Rheumatol Int. 2020; 40(10):1599–1611. PMID:
32710198.
![crossref](/image/icon/bnr_ref_cross.gif)
31. Schaeffer NC, Presser S. The science of asking questions. Annu Rev Sociol. 2003; 29(1):65–88.
![crossref](/image/icon/bnr_ref_cross.gif)
32. Dolnicar S. Asking good survey questions. J Travel Res. 2013; 52(5):551–574.
![crossref](/image/icon/bnr_ref_cross.gif)
33. Bidari A, Ghavidel-Parsa B, Amir Maafi A, Montazeri A, Ghalehbaghi B, Hassankhani A, et al. Validation of fibromyalgia survey questionnaire and polysymptomatic distress scale in a Persian population. Rheumatol Int. 2015; 35(12):2013–2019. PMID:
26581782.
![crossref](/image/icon/bnr_ref_cross.gif)
34. Shah CH, Brown JD. Reliability and validity of the short-form 12 item version 2 (SF-12v2) health-related quality of life survey and disutilities associated with relevant conditions in the U.S. older adult population. J Clin Med. 2020; 9(3):661.
![crossref](/image/icon/bnr_ref_cross.gif)
35. Agarwal V, Gupta L, Davalbhakta S, Misra DP, Agarwal V, Goel A. Prevalent fears and inadequate understanding of COVID-19 among medical undergraduates in India: results of a web-based survey. J R Coll Physicians Edinb. 2020; 50(3):343–350.
![crossref](/image/icon/bnr_ref_cross.gif)
36. Gendall P. The effect of covering letter personalisation in mail surveys. Int J Mark Res. 2005; 47(4):365–380.
![crossref](/image/icon/bnr_ref_cross.gif)
37. Christensen AI, Lynn P, Tolstrup JS. Can targeted cover letters improve participation in health surveys? Results from a randomized controlled trial. BMC Med Res Methodol. 2019; 19(1):151. PMID:
31315577.
![crossref](/image/icon/bnr_ref_cross.gif)
38. Edwards P, Roberts I, Clarke M, DiGuiseppi C, Pratap S, Wentz R, et al. Increasing response rates to postal questionnaires: systematic review. BMJ. 2002; 324(7347):1183. PMID:
12016181.
39. Porter SR, Whitcomb ME. The impact of lottery incentives on student survey response rates. Res Higher Educ. 2003; 44(4):389–407.
40. Carpenter EH. Personalizing mail surveys: a replication and reassessment. Public Opin Q. 1974; 38(4):614–620.
![crossref](/image/icon/bnr_ref_cross.gif)
41. Yu J, Cooper H. A quantitative review of research design effects on response rates to questionnaires. J Mark Res. 1983; 20(1):36–44.
![crossref](/image/icon/bnr_ref_cross.gif)
42. Cheung KL, Ten Klooster PM, Smit C, de Vries H, Pieterse ME. The impact of non-response bias due to sampling in public health studies: a comparison of voluntary versus mandatory recruitment in a Dutch national survey on adolescent health. BMC Public Health. 2017; 17(1):276. PMID:
28330465.
![crossref](/image/icon/bnr_ref_cross.gif)
43. Sheikh K, Mattingly S. Investigating non-response bias in mail surveys. J Epidemiol Community Health. 1981; 35(4):293–296. PMID:
6461711.
![crossref](/image/icon/bnr_ref_cross.gif)
44. Jooste PL, Yach D, Steenkamp HJ, Botha JL, Rossouw JE. Drop-out and newcomer bias in a community cardiovascular follow-up study. Int J Epidemiol. 1990; 19(2):284–289. PMID:
2376438.
![crossref](/image/icon/bnr_ref_cross.gif)
45. Keusch F. Why do people participate in web surveys? Applying survey participation theory to internet survey data collection. MRQ. 2015; 65(3):183–216.
![crossref](/image/icon/bnr_ref_cross.gif)
46. Roszkowski MJ, Bean AG. Believe it or not! longer questionnaires have lower response rates. J Bus Psychol. 1990; 4(4):495–509.
![crossref](/image/icon/bnr_ref_cross.gif)
47. Mindell JS, Tipping S, Pickering K, Hope S, Roth MA, Erens B. The effect of survey method on survey participation: analysis of data from the Health Survey for England 2006 and the Boost Survey for London. BMC Med Res Methodol. 2010; 10(1):83. PMID:
20868527.
![crossref](/image/icon/bnr_ref_cross.gif)
48. Svensson M, Svensson T, Hansen AW, Trolle Lagerros Y. The effect of reminders in a web-based intervention study. Eur J Epidemiol. 2012; 27(5):333–340. PMID:
22531973.
![crossref](/image/icon/bnr_ref_cross.gif)
49. Haldule S, Davalbhakta S, Agarwal V, Gupta L, Agarwal V. Post-publication promotion in rheumatology: a survey focusing on social media. Rheumatol Int. 2020; 40(11):1865–1872. PMID:
32920728.
![crossref](/image/icon/bnr_ref_cross.gif)
50. Ahmed S, Gupta L. Perception about social media use by rheumatology journals: Survey among the attendees of IRACON 2019. Indian J Rheumatol. 2020; 15(3):171–174.
![crossref](/image/icon/bnr_ref_cross.gif)
51. Goel A, Gupta L. Social media in the times of COVID-19. J Clin Rheumatol. 2020; 26(6):220–223. PMID:
32852927.
![crossref](/image/icon/bnr_ref_cross.gif)
52. Kavadichanda GC, Gupta L, Balan S. Tuberculosis is a significant problem in children on biologics for rheumatic illnesses: results from a survey conducted among practicing rheumatologists in India. Indian J Rheumatol. 2020; 15(2):130–133.
![crossref](/image/icon/bnr_ref_cross.gif)
53. Agarwal V, Sharma S, Gupta L, Misra D, Davalbhakta S, Agarwal V, et al. COVID-19 and psychological disaster preparedness - an unmet need. Disaster Med Public Health Prep. Forthcoming 2020. DOI:
10.1017/dmp.2020.219.
![crossref](/image/icon/bnr_ref_cross.gif)
54. Davalbhakta S, Advani S, Kumar S, Agarwal V, Bhoyar S, Fedirko E, et al. A systematic review of smartphone applications available for corona virus disease 2019 (COVID19) and the assessment of their quality using the mobile application rating scale (MARS). J Med Syst. 2020; 44(9):164. PMID:
32779002.
![crossref](/image/icon/bnr_ref_cross.gif)
55. Gupta L, Gasparyan AY, Misra DP, Agarwal V, Zimba O, Yessirkepov M. Information and Misinformation on COVID-19: a cross-sectional survey study. J Korean Med Sci. 2020; 35(27):e256. PMID:
32657090.
![crossref](/image/icon/bnr_ref_cross.gif)
56. Koker O, Demirkan FG, Kayaalp G, Cakmak F, Tanatar A, Karadag SG, et al. Does immunosuppressive treatment entail an additional risk for children with rheumatic diseases? A survey-based study in the era of COVID-19. Rheumatol Int. 2020; 40(10):1613–1623. PMID:
32743705.
![crossref](/image/icon/bnr_ref_cross.gif)
57. Mehta P, Gupta L. Combined case record forms for collaborative datasets of patients and controls of idiopathic inflammatory myopathies. Indian J Rheumatol. Forthcoming 2020. DOI:
10.4103/injr.injr_56_20.
58. Kharbanda R, Naveen R, Misra DP, Agarwal V, Gupta L. Combined case record forms for collating obstetric outcomes in rare rheumatic diseases. Indian J Rheumatol. Forthcoming 2020. DOI:
10.4103/injr.injr_102_20.
![crossref](/image/icon/bnr_ref_cross.gif)
59. Gupta L, Appani SK, Janardana R, Muhammed H, Lawrence A, Amin S, et al. Meeting report: MyoIN – Pan-India collaborative network for myositis research. Indian J Rheumatol. 2019; 14(2):136–142.
![crossref](/image/icon/bnr_ref_cross.gif)
60. Kennickell A, Lane J. Measuring the impact of data protection techniques on data utility: evidence from the survey of consumer finances. In : Domingo-Ferrer J, Franconi L, editors. Privacy in Statistical Databases. PSD 2006. Lecture Notes in Computer Science, vol 4302. Berlin, Heidelberg: Springer;2006. p. 291–303.
61. Colbert CY, Diaz-Guzman E, Myers JD, Arroliga AC. How to interpret surveys in medical research: a practical approach. Cleve Clin J Med. 2013; 80(7):423–435. PMID:
23821685.
![crossref](/image/icon/bnr_ref_cross.gif)
62. Eysenbach G. Improving the quality of web surveys: the checklist for reporting results of internet e-surveys (CHERRIES). J Med Internet Res. 2004; 6(3):e34. PMID:
15471760.
![crossref](/image/icon/bnr_ref_cross.gif)
63. Eysenbach G, Wyatt J. Using the internet for surveys and health research. J Med Internet Res. 2002; 4(2):E13. PMID:
12554560.
![crossref](/image/icon/bnr_ref_cross.gif)
64. Gasparyan AY, Yessirkepov M, Voronov AA, Gerasimov AN, Kostyukova EI, Kitas GD. Preserving the integrity of citations and references by all stakeholders of science communication. J Korean Med Sci. 2015; 30(11):1545–1552. PMID:
26538996.
![crossref](/image/icon/bnr_ref_cross.gif)
65. Gasparyan AY. Choosing the target journal: do authors need a comprehensive approach? J Korean Med Sci. 2013; 28(8):1117–1119. PMID:
23960434.
![crossref](/image/icon/bnr_ref_cross.gif)
66. Rivera H. Fake peer review and inappropriate authorship are real evils. J Korean Med Sci. 2018; 34(2):e6. PMID:
30636943.
![crossref](/image/icon/bnr_ref_cross.gif)
67. Gasparyan AY, Ayvazyan L, Akazhanov NA, Kitas GD. Self-correction in biomedical publications and the scientific impact. Croat Med J. 2014; 55(1):61–72. PMID:
24577829.
![crossref](/image/icon/bnr_ref_cross.gif)