Causal inference methods to study nonrandomized, preexisting development interventions

Proceedings of the National Academy of Sciences of the United States of America

Volumn 107, Issue 52, 2010, Pages 22605-22610

  Arnold, Benjamin F ^a   Khush, Ranjiv S ^b   Ramaswamy, Padmavathi ^c   London, Alicia G ^b   Rajkumar, Paramasivan ^c   Ramaprabha, Prabhakar ^c   Durairaj, Natesan ^c   Hubbard, Alan E ^a   Balakrishnan, Kalpana ^c   Colford Jr , John M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Aquaya Institute   (United States)

^c SRI RAMACHANDRA UNIVERSITY   (India)

Author keywords

Community led total sanitation; Impact evaluation; Open defecation; Propensity score matching; Study design

Indexed keywords

ARTICLE; CAUSAL INFERENCE METHOD; CHILD; CLINICAL TRIAL; DIARRHEA; EXTERNAL VALIDITY; FEMALE; HUMAN; HYGIENE; INDIA; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; METHODOLOGY; OBSERVATIONAL METHOD; OUTCOME ASSESSMENT; PRESCHOOL CHILD; PRIORITY JOURNAL; RURAL AREA; SAFETY; WATER SUPPLY;

CHILD; DIARRHEA; FEMALE; HUMANS; HYGIENE; INDIA; INFANT; MALE; RANDOMIZED CONTROLLED TRIALS AS TOPIC; RURAL HEALTH; RURAL POPULATION; WATER SUPPLY;

EID: 78651088016     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1008944107     Document Type: Article

References (37)

1. Murray CJL, Frenk J (2008) Health metrics and evaluation: Strengthening the science. Lancet 371:1191-1199.
2. Murray DM, Varnell SP, Blitstein JL (2004) Design and analysis of group-randomized trials: A review of recent methodological developments.AmJ Public Health 94:423-432.
3. McCarney R, et al. (2007) The Hawthorne Effect: A randomised, controlled trial. BMC Med Res Methodol 7:30.
4. Rothman K, Greenland S (1998) Modern Epidemiology (Lippincott-Raven, Philadelphia).
5. Wood L, et al. (2008) Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: Meta-epidemiological study. BMJ 336:601-605.
6. Horton R (2000) Common sense and figures: The rhetoric of validity in medicine (Bradford Hill Memorial Lecture 1999). Stat Med 19:3149-3164.
7. Rajan TV, Clive J (2000) NIH research grants: Funding and re-funding. JAMA 283:1963.
8. Splawa-Neyman J, Dabrowska DM, Speed TP (1990) On the application of probability theory to agricultural experiments. Essay on principles. Section 9. Stat Sci 5:465-472.
9. Rubin DB (1974) Estimating causal effects of treatments in randomized and nonrandomized studies. J Educ Psychol 66:688-701.
10. Morgan SL, Winship C (2007) Counterfactuals and Causal Inference (Cambridge University Press, Cambridge, UK).
11. Imbens GW, Wooldridge JM (2009) Recent developments in the econometrics of program evaluation. J Econ Lit 47:5-86.
12. Greenland S, Morgenstern H (1990) Matching and efficiency in cohort studies. Am J Epidemiol 131:151-159.
13. Rubin DB (1978) Bayesian inference for causal effects: The role of randomization. Ann Stat 6:34-58.
14. Cochran WG (1953) Matching in analytical studies. Am J Public Health Nations Health 43:684-691.
15. Sekhon JS (2009) Opiates for the matches: Matching methods for causal inference. Annu Rev Polit Sci 12:487-508.
16. Preisser JS, Young ML, Zaccaro DJ, Wolfson M (2003) An integrated population-averaged approach to the design, analysis and sample size determination of clusterunit trials. Stat Med 22:1235-1254.
17. Pattanayak SK, Poulos C, Yang JC, Patil SR, Wendland KJ (2009) Of taps and toilets: Quasi-experimental protocol for evaluating community-demand-driven projects. J Water Health 7:434-451.
18. Newman J, et al. (2002) An impact evaluation of education, health, and water supply investments by the Bolivian Social Investment Fund. World Bank Econ Rev 16: 241-274.
19. Arnold BF, Arana B, Mäusezahl D, Hubbard A, Colford JM, Jr (2009) Evaluation of a pre-existing, 3-year household water treatment and handwashing intervention in rural Guatemala. Int J Epidemiol 38:1651-1661.
20. Cattaneo MD, Galiani S, Gertler PJ, Martinez S, Titiunik R (2009) Housing, health, and happiness. Am Econ J Econ Policy 1:75-105.
21. Pradhan M, Rawlings LB (2002) The impact and targeting of social infrastructure investments: Lessons from the Nicaraguan Social Fund. World Bank Econ Rev 16: 275-295. (Pubitemid 36036470)
22. Iacus S, King G, Porro G (2009) cem: Software for coarsened exact matching. J Stat Softw 30:1-27.
23. Rosenbaum PR, Rubin DB (1983) The central role of the propensity score in observational studies for causal effects. Biometrika 70:41-55.
24. Rosenbaum PR, Rubin DB (1985) Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. Am Stat 39:33-38.
25. Ho DE, Imai K, King G, Stuart EA (2007) Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference. Polit Anal 15:199-236.
26. Hernán MA, Hernández-Díaz S, Robins JM (2004) A structural approach to selection bias. Epidemiology 15:615-625.
27. Hernán MA, Cole SR (2009) Invited commentary: Causal diagrams and measurement bias. Am J Epidemiol, 170:959-962 discussion, 963-964.
28. Schmidt W, et al. (2010) Weight-for-age z-score as a proxy marker for diarrhoea in epidemiological studies. J Epidemiol Community Health, 10.1136/jech.2009.099721.
29. Lunn PG (2000) The impact of infection and nutrition on gut function and growth in childhood. Proc Nutr Soc 59:147-154.
30. Black RE, et al.; Maternal and Child Undernutrition Study Group (2008) Maternal and child undernutrition: Global and regional exposures and health consequences. Lancet 371:243-260.
31. Ahern J, Hubbard A, Galea S (2009) Estimating the effects of potential public health interventions on population disease burden: A step-by-step illustration of causal inference methods. Am J Epidemiol 169:1140-1147.
32. UNICEF, WHO (2008) World Health Organization and United Nations Children's Fund Joint Monitoring Programme for Water Supply and Sanitation (JMP). Progress on Drinking Water and Sanitation: Special Focus on Sanitation (UNICEF and WHO, New York and Geneva).
33. Victora CG, de Onis M, Hallal PC, Blössner M, Shrimpton R (2010) Worldwide timing of growth faltering: Revisiting implications for interventions. Pediatrics 125:e473-e480.
34. Rosenbaum PR, Silber JH (2001) Matching and thick description in an observational study of mortality after surgery. Biostatistics 2:217-232.
35. Briscoe J (1984) Intervention studies and the definition of dominant transmission routes. Am J Epidemiol 120:449-455.
36. Eisenberg JNS, Scott JC, Porco T (2007) Integrating disease control strategies: Balancing water sanitation and hygiene interventions to reduce diarrheal disease burden. Am J Public Health 97:846-852.
37. Humphrey JH (2009) Child undernutrition, tropical enteropathy, toilets, and handwashing. Lancet 374:1032-1035.