02-01. Articles & Books

Ambrosius, W. T. (Ed.). (2007). Topics in biostatistics (Vol. 404). Springer Science & Business Media.

Amrhein, V., Greenland, S., & McShane, B. (2019). Retire statistical significance. Nature, Comment.

Binder, H., & Blettner, M. (2015). Big data in medical science—a biostatistical view. Deutsches Ärzteblatt International112(9), 137.

Brysbaert, M. (2019). How many participants do we have to include in properly powered experiments? A tutorial of power analysis with reference tables. Journal of cognition, 2(1): 16, pp. 1–38.

Calin-Jageman, R. J., & Cumming, G. (2019). The new statistics for better science: Ask how much, how uncertain, and what else is knownThe American Statistician73 (sup1), 271-280.

Carpenter, R., Waldrop, J., & Carter‐Templeton, H. (2021). Statistical, practical and clinical significance and Doctor of Nursing Practice projects. Nurse Author & Editor, 31(3-4), 50-53.

Cumming, G. (2014). The new statistics: Why and howPsychological science25 (1), 7-29.

Dreisbach, C., & Koleck, T. A. (2020). The state of data science in genomic nursingBiological Research for Nursing22(3), 309-318.

Du Prel, J. B., Röhrig, B., Hommel, G., & Blettner, M. (2010). Choosing statistical tests. Deutsches Ärzteblatt International107(19), 343.

Enders, F.T., Lindsell, C.J., Welty, L.J., Benn, E.K., Perkins, S.M., Mayo, M.S., Rahbar, M.H., Kidwell, K.M., Thurston, S.W., Spratt, H. and Grambow, S.C., 2017. Statistical competencies for medical research learners: What is fundamental? Journal of clinical and translational science, 1(3), 146-152.

Gaskin, C. J., & Happell, B. (2014). Power, effects, confidence, and significance: An investigation of statistical practices in nursing researchInternational Journal of Nursing Studies51(5), 795-806

Gianicolo, E. A., Eichler, M., Muensterer, O., Strauch, K., & Blettner, M. (2020). Methods for Evaluating Causality in Observational Studies. Deutsches Ärzteblatt International117(7), 101.

Giuliano, K. K., & Polanowicz, M. (2008). Interpretation and use of statistics in nursing researchAACN Advanced Critical Care19(2), 211-222.

Gluud, L. L. (2006). Bias in clinical intervention researchAmerican journal of epidemiology163 (6), 493-501.

Halsey, L. G. (2019). The reign of the p-value is over: what alternative analyses could we employ to fill the power vacuum? Biology letters15 (5), 20190174.

Hammer, G. P., du Prel, J. B., & Blettner, M. (2009). Avoiding bias in observational studies. Deutsches Ärzteblatt International106(41), 664.

Hayat, M. J., Kim, M., Schwartz, T. A., & Jiroutek, M. R. (2021). A study of statistics knowledge among nurse faculty in schools with research doctorate programsNursing Outlook69(2), 228-233.

Hayat, M. J., Schwartz, T. A., Kim, M., Ali, S. Z., & Jiroutek, M. R. (2021). A comparative cross-sectional assessment of statistical knowledge of faculty across five health science disciplinesJournal of clinical and translational science5(1).

Hoe, J., & Hoare, Z. (2012). Understanding quantitative research: Part 1Nursing Standard (through 2013)27(15-17), 52.

Hoare, Z., & Hoe, J. (2013). Understanding quantitative research: Part 2Nursing Standard27(18), 48-55.

Jafari, M., & Ansari-Pour, N. (2019). Why, when and how to adjust your P values? Cell Journal (Yakhteh), 20 (4), 604.

Jakobsson, U. (2004). Statistical presentation and analysis of ordinal data in nursing research. Scandinavian journal of caring sciences, 18(4), 437-440.

Jones, M., DeValpine, M., McDonald, M., & Schubert, C. (2021). Use of statistical tests in Doctor of Nursing Practice projects. The Journal for Nurse Practitioners, 17(9), 1118-1121.

Kim, H. Y. (2015). Statistical notes for clinical researchers: Type I and type II errors in statistical decision. Restorative Dentistry & Endodontics, 40 (3), 249-252.

Kirkwood, B. R., & Sterne, J. A. (2010). Essential medical statistics. John Wiley & Sons.

Kuss, O., Blettner, M., & Börgermann, J. (2016). Propensity Score: An Alternative Method of Analyzing Treatment Effects. Deutsches Ärzteblatt International113(35-36), 597.

Kwiecien, R., Kopp-Schneider, A., & Blettner, M. (2011). Concordance analysis. Deutsches Ärzteblatt International108(30), 515.

Lakens, D. (2022). Sample size justification. Collabra: Psychology, 8(1), 33267.

Lang, T., & Altman, D. (2016). Statistical analyses and methods in the published literature: The SAMPL guidelines. Medical Writing, 25, 31-36.

Makin, T. R., & de Xivry, J. J. O. (2019). Ten common statistical mistakes to watch out for when writing or reviewing a manuscriptElife8.

Oster, R. A., & Enders, F. T. (2018). The importance of statistical competencies for medical research learners. Journal of Statistics Education, 26(2), 137-142.

Plichta, S. B., & Garzon, L. S. (2009). Statistics for nursing and allied health. Lippincott Williams & Wilkins

Polit, D. F. & Lake, E. (2013). Statistics and Data Analysis for Nursing Research: Pearson New International Edition PDF eBook. Pearson Higher Ed.

Ressing, M., Blettner, M., & Klug, S. J. (2010). Data analysis of epidemiological studies. Deutsches Arzteblatt International107(11), 187.

Röhrig, B., Du Prel, J. B., & Blettner, M. (2009). Study design in medical research. Deutsches Ärzteblatt International106(11), 184.

Sauerbrei, W., & Blettner, M. (2009). Interpreting results in 2×2 tables. Deutsches Ärzteblatt International106(48), 795

Schober, P., Boer, C., & Schwarte, L. A. (2018). Correlation coefficients: appropriate use and interpretationAnesthesia & Analgesia126(5), 1763-1768.

Schober, P., & Vetter, T. R. (2018). Repeated measures designs and analysis of longitudinal data: If at first you do not succeed—try, try againAnesthesia and analgesia127(2), 569.

Schober, P., & Vetter, T. R. (2018). Survival analysis and interpretation of time-to-event data: the tortoise and the hareAnesthesia and analgesia127(3), 792

Schober, P., & Vetter, T. R. (2019). Chi-square tests in medical researchAnesthesia & Analgesia129(5), 1193.

Schober, P., & Vetter, T. R. (2020). Nonparametric statistical methods in medical researchAnesthesia & Analgesia131(6), 1862-1863.

Schober, P., & Vetter, T. R. (2021). Count data in medical research: Poisson regression and negative binomial regressionAnesthesia & Analgesia132(5), 1378-1379.

Schober, P., & Vetter, T. R. (2021). Linear mixed-effects models in medical researchAnesthesia & Analgesia132(6), 1592-1593.

Serdar, C. C., Cihan, M., Yücel, D., & Serdar, M. A. (2021). Sample size, power and effect size revisited: simplified and practical approaches in pre-clinical, clinical and laboratory studiesBiochemia medica31 (1), 27-53.

Spriestersbach, A., Röhrig, B., Du Prel, J. B., Gerhold-Ay, A., & Blettner, M. (2009). Descriptive statistics. Deutsches Ärzteblatt International106(36), 578.

Spurlock Jr, D. R., Taylor, J., & Spurlock Jr, D. (2018). Statistical power in nursing education research. Journal of Nursing Education, 57(5), 262-264.

Sullivan, G. M., & Feinn, R. S. (2021). Do You Have Power? Considering Type II Error in Medical EducationJournal of Graduate Medical Education13(6), 753-756.

Trochim, W. M. (1990). The regression-discontinuity designResearch methodology: Strengthening causal interpretations of nonexperimental data, 119-130.

Vickers, A. J., & Altman, D. G. (2001). Analysing controlled trials with baseline and follow up measurementsBmj323 (7321), 1123-1124.

Wasserstein, R. L., Schirm, A. L., & Lazar, N. A. (2019). Moving to a world beyond “p< 0.05”The American Statistician73 (sup1), 1-19.

Williamson, P.R., Altman, D.G., Bagley, H., Barnes, K.L., Blazeby, J.M., Brookes, S.T., Clarke, M., Gargon, E., Gorst, S., Harman, N. and Kirkham, J.J. (2017). The COMET handbook: version 1.0. Trials18 (3), pp.1-50.

Wright, M. L., Higgins, M., Taylor, J. Y., & Hertzberg, V. S. (2019). Nursing research in the 21st century: R you ready? Biological research for nursing21(1), 114-120.

Wu, Y., Zhou, C., Wang, R., Ye, X., Yang, L., Li, C., Hu, M. and Cong, W. (2020). Statistical Reporting in Nursing Research: Addressing a Common Error in Reporting of p Values (p=. 000). Journal of Nursing Scholarship52(6), pp.688-695.

Kathleen Zellner, M. S. N., & Boerst, C. J. (2007). Statistics used in current nursing researchJournal of Nursing Education46(2), 55.

Zwiener, I., Blettner, M., & Hommel, G. (2011). Survival analysis. Deutsches Ärzteblatt International108(10), 163.