16.7 – References and suggested readings

References and suggested readings

Anderson, N. W., & Zimmerman, F. J. (2024). Trends and structural factors affecting health equity in the United States at the local level, 1990–2019. SSM – Population Health, 26, 101675.

Bartko J (1976) On various intraclass reliability coefficients. Psychological Bulletin 83:762-765.

Benjamini Y, Hochberg Y. (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society B 57:289-300.

Bollen, K. A., & Diamantopoulos, A. (2015). In Defense of Causal-Formative Indicators: A Minority Report. Psychological Methods, 22(3), 581.

Brand J., Altman D (1997) Statistics notes: Cronbach’s alpha. BMJ 314:572.

Braveman, P., & Gottlieb, L. (2014). The Social Determinants of Health: It’s Time to Consider the Causes of the Causes. Public Health Reports, 129(Suppl 2), 19.

Bruton, A, and Conway, J. H., and Holgate, S. T. 2000 Reliability: What is it and how is it measured? Physiotherapy 86:94-99

Cook, D. A., & Beckman, T. J. (2006). Current Concepts in Validity and Reliability for Psychometric Instruments: Theory and Application. The American Journal of Medicine, 119(2), 166.e7-166.e16.

Cooper, R. L., Ramesh, A., Radix, A. E., Reuben, J. S., Juarez, P. D., Holder, C. L., Belton, A. S., Brown, K. Y., Mena, L. A., & Matthews-Juarez, P. (2023). Affirming and Inclusive Care Training for Medical Students and Residents to Reduce Health Disparities Experienced by Sexual and Gender Minorities: A Systematic Review. Transgender Health, 8(4), 307–327.

Crawford, R. (1977). You are Dangerous to Your Health: The Ideology and Politics of Victim Blaming. International Journal of Health Services, 7(4), 663–680.

Cronbach L. (1951) Coefficient alpha and the internal structure of tests. Psychometrika 16:297-334.

Davidson, M. (2017). Vaccination as a cause of autism—Myths and controversies. Dialogues in Clinical Neuroscience, 19(4), 403–407.

Doornick J. A., HanseDiamantopoulos, A., & Winklhofer, H. M. (2001). Index Construction with Formative Indicators: An Alternative to Scale Development. Journal of Marketing Research, 38(2), 269–277.

Espinosa, J., Stevens, J. R., Alberghina, D., Alway, H. E., Barela, J. D., Bogese, M., & et al. (2023). ManyDogs 1: A Multi-Lab Replication Study of Dogs’ Pointing Comprehension. Animal behavior and cognition, 10(3), 232–286.

Goertzen, J. R., & Cribbie, R. A. (2010). Detecting a lack of association: An equivalence testing approach. British Journal of Mathematical and Statistical Psychology63(3), 527-537.

Greenland, S. (2001). Ecologic versus individual-level sources of bias in ecologic estimates of contextual health effects. International journal of epidemiology30(6), 1343-1350.

Hu, P., Jiao, R., Jin, L., & Xiong, M. (2018). Application of Causal Inference to Genomic Analysis: Advances in Methodology. Frontiers in Genetics, 9, 238.

Kleinberg, S., & Hripcsak, G. (2011). A review of causal inference for biomedical informatics. Journal of Biomedical Informatics, 44(6), 1102–1112.

Kruse, A., Stafilidis, S., & Tilp, M. (2017). Ultrasound and magnetic resonance imaging are not interchangeable to assess the Achilles tendon cross-sectional-area. European Journal of Applied Physiology117(1), 73-82.

Lee Rodgers, J., & Nicewander, W. A. (1988). Thirteen ways to look at the correlation coefficient. The American Statistician, 42(1), 59-66.

Makowski, D., Ben-Shachar, M. S., Patil, I., & Lüdecke, D. (2019). Methods and Algorithms for Correlation Analysis in R. Journal of Open Source Software, 5(51), 2306.

Nei M, Li W-H (1979) Mathematical model for studying genetic variation in terms of restriction endonucleases. PNAS 76:5269-5273.

Parascandola, M., & Weed, D. L. (2001). Causation in epidemiology. Journal of Epidemiology & Community Health, 55(12), 905–912.

Portnov, B. A., Dubnov, J., & Barchana, M. (2007). On ecological fallacy, assessment errors stemming from misguided variable selection, and the effect of aggregation on the outcome of epidemiological study. Journal of exposure science & environmental epidemiology17(1), 106-121.

Read, J. G., & Gorman, B. K. (2010). Gender and Health Inequality. Annual Review of Sociology, 36(Volume 36, 2010), 371–386.

Robinson W.S. Ecological correlations and the behavior of individuals. Am Sociol Rev 1950: 15: 351–357.

Schmitt N (1996) Uses and abuses of coefficient alpha. Psychological Assessment 8:350-353.

Shrout P, Fleiss J (1979) Intraclass correlations: uses in assessing rater reliability. Psychological Bulletin 86:420-428.

Sijtsma K (2009) On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Psychometrika 74:107-120.

Székely, G. J., Rizzo, M. L., & Bakirov, N. K. (2007). Measuring and testing dependence by correlation of distances. The annals of statistics, 35(6), 2769-2794.

U.S. Pet Ownership & Demographics Sourcebook (2012) American Veterinary Association.

Wang Kong, C., Green, J., Hamity, C., & Jackson, A. (2022). Health Disparity Measurement Among Asian American, Native Hawaiian, and Pacific Islander Populations Across the United States. Health Equity, 6(1), 533–539.

Wetzels, R. & Wagenmakers, E.-J. (2012) A default Bayesian hypothesis test for correlations and partial correlations. Psychon Bull Rev 19: 1057-1064

Wilson C (2014) It’s True: Liberals Like Cats More Than Conservatives Do. Time Magazine online (https://time.com/8293/its-true-liberals-like-cats-more-than-conservatives-do/)

Zou K. H., Tuncali K., Silverman S. G. (2003) Correlation and linear regression. Radiology 227(3): 617-628.


Chapter 16, contents