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. https://doi.org/10.1016/j.ssmph.2024.101675

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. https://doi.org/10.1037/met0000056

Brand J., Altman D (1997) Statistics notes: Cronbach’s alpha. BMJ 314:572. https://doi.org/10.1136/bmj.314.7080.572

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. https://doi.org/10.1177/00333549141291S206

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

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. https://doi.org/10.1089/trgh.2021.0148
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. https://doi.org/10.2190/YU77-T7B1-EN9X-G0PN

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. https://doi.org/10.31887/DCNS.2017.19.4/mdavidson

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.

Goertzen, J. R., & Cribbie, R. A. (2010). Detecting a lack of association: An equivalence testing approach. British Journal of Mathematical and Statistical Psychology, 63(3), 527-537.

Greenland, S. (2001). Ecologic versus individual-level sources of bias in ecologic estimates of contextual health effects. International journal of epidemiology, 30(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. https://doi.org/10.3389/fgene.2018.00238

Kleinberg, S., & Hripcsak, G. (2011). A review of causal inference for biomedical informatics. Journal of Biomedical Informatics, 44(6), 1102–1112. https://doi.org/10.1016/j.jbi.2011.07.001

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 Physiology, 117(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. https://doi.org/10.21105/joss.02306

Nei M, Li W-H (1979) Mathematical model for studying genetic variation in terms of restriction endonucleases. PNAS 76:5269-5273. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC413122/

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 epidemiology, 17(1), 106-121.

Read, J. G., & Gorman, B. K. (2010). Gender and Health Inequality. Annual Review of Sociology, 36(Volume 36, 2010), 371–386. https://doi.org/10.1146/annurev.soc.012809.102535

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. Link to pdf file

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. https://doi.org/10.1089/heq.2022.0051

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