Brodie, M.A., Pliner, E.M., Li, K., Chen, Z., Gandevia, S.C. and Lord, S.R. 2018. Big data vs accurate data in health research: large-scale physical activity monitoring, smartphones, wearable devices and risk of unconscious bias. Med. Hypotheses, 119: 32-36.

Deville, J.-C. and Särndal, C.E. 1992. Calibration estimators in survey sampling. J. Am. Stat. Assoc., 87: 376-382.

Elliott, M. and Valliant, R. 2017. Inference for non-probability samples. Statistical Science, 32: 249-264.

Groves, R. and Peytcheva, E. 2008. The impact of non-response rates on non-response bias: a meta- analysis. Public Opin. Q., 72: 167-189.

Hartley, H.O. 1962. Multiple frame surveys. In Proceedings of the Social statistics Section. American Statistical Association, pp. 1-24.

Kaplan , R.M., Chambers, D.A. and and Glasgow, R.E. 2014. Big data and large sample size: a cautionary note on the potential of bias. Am. Soc. for Clin. Pharmaco. and Therap., 7: 342-346.

Kim, J.K. and Tam, S.M. 2021. Data integration by combining big data and survey sample data for finite population inference. Int. Int. Statistical Rev., 89(2): 382-401.

Lohr , S. and Raghunathan, T. 2017. Combining survey data with other data sources. Stat. Sci., 32: 293-312.

Meng, X.L. 2018. Statistical paradises and paradoxes in big data(i): law of large populations, big data paradox, and 2016 US Presidential Election. Ann. Appl. Stat., 12: 685-726.

Pfefffermann, D. 2015. Methodological issues and challenges in the production of official statistics: 24th Annual Morris Hansen Lecture. J. Surv. Stat. Methodol., 3: 425-483.

Rao, J.N.K. 2021. On making valid inferences by integrating data from surveys and other sources. Sankhya B., 83(1): 242-272.

Tam, S.M. and Clarke, F. 2015. Big data, official statistics and some initiatives by the Australian Bureau of Statistics. Int. Stat. Rev., 83: 436-448.

Valliant, R. and Dever, J.A. 2011. Estimating propensity adjustments for volunteer web surveys. Sociol. Methods Res., 40: 105-137.

Yang, S. and Kim, J.K. 2020. Statistical data integration in survey sampling: A review. Japanese Journal of Statistics and Data Science, 3(2): 625-650.