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Original research

Assessing the Effects of Important Factors and Province Heterogeneity on Different Quantiles of Hospitalization Cost

ORCID Icon &
Pages 953-966 | Received 02 Aug 2020, Accepted 25 Nov 2020, Published online: 06 Jan 2021

References

  • Koenker R, Hallock KF. Quantile regression. J Econ Perspect. 2001;15(4):143–156.
  • Geraci M. Estimation of regression quantiles in complex surveys with data missing at random: an application to birthweight determinants. Stat Methods Med Res. 2016;25(4):13–42.
  • Verbeke G, Lesaffre E. A linear mixed-effects model with heterogeneity in the random-effects population. J Am Stat Assoc. 1996;91:217–221.
  • Diggle PJ, Heagerty P, Liang KY, et al. Analysis of longitudinal data. Oxford: University Press; 2002.
  • Demidenko E. Mixed models: theory and applications. Hoboken: John Wiley & Sons; 2004.
  • Buchinsky M. Recent advances in quantile regression models: A practical guideline for empirical research. J Hum Resour. 1998;33(1):88–126.
  • Luo S, Zhang C, Wang M. Composite quantile regression (CQR) estimation and inference are studied for varying coefficient models with response data missing at random. Symmetry. 2019;11:1–18.
  • Tang ML, Tang NS, Zhao PY, et al. Efficient robust estimation for linear models with missing response at random. Scand J Stat. 2018;45:366–381.
  • Geraci M, Bottai M. Quantile regression for longitudinal data using the asymmetric Laplace distribution. Biostatistics. 2007;8(1):140–154.
  • Geraci M, Bottai M. Linear quantile mixed models. Stat Comput. 2014;24(3):461–479.
  • Payandeh A, Mehrabi Y, Zayeri F, et al. Health expenditure modelling in southeast of Iran: a population-based setting using quantile regression perspective. Health Scope. 2017;6(4):e64185.
  • Koenker R. Quantile regression for longitudinal data. J Multivar Anal. 2004;91(1):74–89.
  • Tabrizi E, Bahrami Samani E, Ganjali M. A note on the identifiability of latent variable models for mixed longitudinal data. Stat Probab Lett. 2020;167:108882.
  • Tabrizi E, Bahrami Samani E, Ganjali M. Identifiability of parameters in longitudinal correlated poisson and inflated beta regression model with non-ignorable missing mechanism. Statistics. 2020;54(3):524-543.
  • Ghasemzadeh S, Ganjali M, Baghfalaki T. Bayesian quantile regression for analyzing ordinal longitudinal responses in the presence of non-ignorable missingness. Metron. 2018;76(3):321–348.
  • Ghasemzadeh S, Ganjali M, Baghfalaki T. Bayesian quantile regression for joint modeling of longitudinal mixed ordinal continuous data. Commun Stat Simul Comput. 2018:49 (2): 375-395.
  • Yu K, Moyeed R. Bayesian quantile regression. Stat Probab Lett. 2001;54:437–447.
  • Aghamohammadi A, Meshkani MR. Bayesian quantile regression for skew-normal linear mixed models. Commun Stat Theor Methods. 2017;46(22):10953–10972.
  • Koenker R quantreg: quantile regression. R package version 5.05; [ cited 2020 Oct 31]. Available from: https://CRAN.R-project.org/package=quantreg
  • Koenker R, Park BJ. An interior point algorithm for nonlinear quantile regression. J Econom. 1996;71(1–2):265–283.
  • Geraci M. Linear quantile mixed models: the lqmm package for Laplace quantile regression. J Stat Softw. 2014;57(13):1–29.
  • Barrodale I, Roberts F. Algorithms for restricted least absolute value estimation. Commun Stat Simul Comput. 1977;6:353–363.
  • Tibshirani R. Regression shrinkage and selection via the lasso. J R Stat Soc Ser B Stat Methodol. 1996;58(1):267–288.
  • Benoit DF, den Poel DV. bayesQR: A bayesian approach to quantile regression. J Stat Softw. 2017;76(7):1–32.
  • Smith L, Reich B. BSquare: an R package for bayesian simultaneous quantile regression. North Carolina State University, North Carolina; 2013.
  • Geraci M. Qtools: a collection of models and tools for quantile inference considerable. R J. 2016;8(2):117–138.
  • Garcia-Subirats I, Vargas AS, Mogolln-Prez P, et al. Inequities in access to health care in different health systems: a study in municipalities of central Colombia and north-eastern Brazil. Int J Equity Health. 2014;13(10):1–15.
  • Bastos GA, Duca GF, Hallal PC, et al. Utilization of medical services in the public health system in the Southern Brazil. Rev Saude Publica. 2011;45(3):454–475.
  • Yu K, Zhang J. A three-parameter asymmetric Laplace distribution and its extension. Comm Statist Theor Methods. 2005;34:1867–1879.
  • Dantzig G. Linear programming and extensions. Princeton, NJ: Princeton University Press; 1963.
  • Luo Y, Lian H, Tian M. Bayesian quantile regression for longitudinal data models. J Stat Comput Simul. 2012;82(11):1635–1649.
  • Koenker RW, Bassett GW. Regression quantiles. Econometrica. 1978;46:33–50.
  • Koenker RW, d’Orey V. Computing regression quantiles. J R Stat Soc Ser C Appl Stat. 1987;36(3):383–393.
  • Gelman A, Rubin DB. Inference from iterative simulation using sequences. Statist Sci. 1992;7:457–511.
  • Rezaei Ghahroodi Z, Aliakbari Saba R, Baghfalaki T. Gaussian copula–based regression models for the analysis of mixed outcomes: an application on household’s utilization of health services data. J Stat Theor Appl. 2019;18(3):182–197.
  • Everett G, Uddin N, Rudloff B. Comparison of hospital costs and length of stay for community internists, hospitalists, and academicians. J Gen Intern Med. 2007;22(5):662–667.
  • Halasyamani LK, Valenstein PN, Friedlander MP, et al. A comparison of two hospitalist models with traditional care in a community teaching hospital. Am J Med. 2005;118:536–543.
  • Tingle LE, Lambert CT. Comparison of a family practice teaching service and a hospitalist model: costs, charges, length of stay, and mortality. Fam Med. 2001;33:511–515.
  • Hackner D, Tu G, Braunstein GD, et al. The value of a hospitalist service: efficient care for the aging population? Chest. 2001;119:580–589.

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