Stanford University

CDEHA Pilot Publications (2013 - Present)

  1. Davies, S; Saynina, O; McDonald, KM; Schultz, E; Baker, LC. Implications of Metric Choice for Common Applications of Readmission Metrics. Health Services Research. 2013 Dec;48(6 Pt 1):1978-95. PMCID: PMC3876390.
  2. Jiang, Quanbao, Zhen Guo, Shuzhuo Li, and Marcus W. Feldman. 2013. The life cycle of bare branch families-A simulation study. Canadian Studies in Population 40(3-4). PMCID: PMC3809395.
  3. Miller, Grant, Diana Pinto, and Marcos Vera-Hernández. 2013. "Risk Protection, Service Use, and Health Outcomes under Colombia's Health Insurance Program for the Poor." American Economic Journal: Applied Economics, 5(4): 61-91. PMCID: PMC4208673.
  4. Basu S, King A. Disability and chronic disease among older adults in India: detecting vulnerable populations through the WHO SAGE Study. Am J Epidemiol. 2013 Dec 1;178(11):1620-8. PMCID: PMC3842902.
  5. Yang, X., S. Li, and M. W. Feldman. 2013. Development and validation of a gender ideology scale for family planning services in rural China. PLoS ONE 8(4): e59919. PMCID: PMC3613413.
  6. Basu S, Babiarz K, Ebrahim S, Vellakkal S, Stuckler D, Goldhaber-Fiebert JD. The Impact of Palm Oil Taxes on Cardiovascular Disease Mortality in India: An Epidemiological Modeling Study. British Medical Journal. 2013 Oct 22;347:f6048. PMCID in process.
  7. Jiang, Q., S. Li, and M. W. Feldman. 2013. China’s population policy at the crossroads: social impacts and progress. Asian J. Soc. Sci. 41: 193–218. NIHMSID: 683111.
  8. Li, S., Z. Shang, and M. W. Feldman. 2013. Social management of gender imbalance in China: a holistic governance framework. Econ. Polit. Weekly 48: 79–86. NIHMSID 684403.
  9. Liu, H., S. Li, and M. W. Feldman. 2013. Gender in marriage and life satisfaction under gender imbalance in China: the role of intergenerational support at SES. Social Indic. Res. 114: 915–933. NIHMSID: 683112
  10. Jin, X., L. Liu, Y. Li, M. W. Feldman, and S. Li. 2013. “Bare branches” and the marriage market in rural China: preliminary evidence from a village-level survey. Chinese Socio. Rev. 46: 83–104. NIHMSID: 683115
  11. Liu, L., X. Jin, M. J. Brown, and M. W. Feldman. 2014. Male marriage squeeze and inter-provincial marriage in central China: evidence from Anhui. J. Contemp. China 23: 351–371. NIHMSID: 683117
  12. Li, S., Q. Jiang, and M. W. Feldman. 2014. The male surplus in China's marriage market: review and prospects. Chapter 5 (pp. 77–94) in I. Attané & B. Gu (eds.) Analysing China’s Population: Social Change in a New Demographic Era. Dordrecht, Germany: Springer. doi: 10.1007/978-94-017-8987-5\_5.
  13. Davies S, Saynina O, McDonald KM, Baker L. Limitations of Using Same-Hospital Readmission Metrics. International Journal for Quality in Health Care. 2013 Dec; 25(6): 633-9. PMCID: PMC3842125.
  14. Jones, J. H. and R. B. Bird. "The marginal valuation of fertility and risk-sensitive reproductive decision-making during economic crises." Submitted. Evol Hum Behav. 2014 Jan 1; 35(1): 65–71. PMCID: PMC4000044.
  15. Jiang, Q., Feldman, M., and Li, S. Marriage squeeze, never-married proportion and mean age at first marriage in China. Popul Res Policy Rev. 2014; 33(2): 189–204. PMCID: PMC3948615
  16. Park KT, Sin A, Wu M, Bass D, Bhattacharya J. Utilization trends of anti-TNF agents and health outcomes in adults and children with inflammatory bowel diseases: a single-center experience. Inflamm Bowel Dis. 2014 Jul;20(7):1242-9. PMCID: PMC4227810.
  17. Gillespie, D. O. S., M. V. Trotter, and S. D. Tuljapurkar. 2014. Divergence in age-patterns of mortality change drives international inequality. Demography 51: 1003–1017. PMCID: PMC4067902.
  18. Suen S, Bendavid E, Goldhaber-Fiebert JD. Disease Control of India’s Changing Multi-Drug Resistant Tuberculosis Epidemic. Disease Control Implications of India's Changing Multi-Drug Resistant Tuberculosis Epidemic. PLoS ONE. 2014 March 7;9(3): e89822. PMCID: PMC3946521
  19. Babiarz K, Suen S, Goldhaber-Fiebert JD. Patterns and predictors of TB treatment default and symptom persistence: An observational study of Bihar, India’s public TB care system covering >100,000,000 inhabitants. BMC Public Health. 2014 May 1;14:418. PMC4041057.
  20. Davies S, Saynina O, Baker L, McDonald KM. Impact of Including Readmissions for Qualifying Events in the Patient Safety Indicators. Am J Med Qual. 2015 Mar-Apr; 30(2):114-8. NIHMSID682619.
  21. Babiarz K., Eggleston K., Miller G., and Zhang Q. 2015. An Exploration of China’s Mortality Decline under Mao: A Provincial Analysis, 1950–1980. Population Studies: A Journal of Demography. PMCID: PMC4331212.
  22. Goldhaber-Fiebert JD, Brandeau ML. Modeling and calibration for exposure to time-varying, modifiable risk factors: the example of smoking behavior in India. Med Decis Making. 2015 Feb;35(2):196-210. PMC4115057.
  23. Mohanan M, Vera-Hernandez M, Das V, Giardili S, Goldhaber-Fiebert JD, Rabin TL, Raj S, Schwartz JI, Seth A. Do No Harm: The Know-Do Gap and Quality of Care for Childhood Diarrhoea and Pneumonia in India. JAMA Pediatr. 2015 Apr 1;169(4):349-57.
  24. Alsan, M. and Goldin, C. Watersheds in Infant Mortality: The Role of Effective Water and Sewerage Infrastructure, 1880 to 1915. 2015. NBER Working Paper.

 

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