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 International, 112(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 known. The American Statistician, 73 (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 how. Psychological science, 25 (1), 7-29.
Dreisbach, C., & Koleck, T. A. (2020). The state of data science in genomic nursing. Biological Research for Nursing, 22(3), 309-318.
Du Prel, J. B., Röhrig, B., Hommel, G., & Blettner, M. (2010). Choosing statistical tests. Deutsches Ärzteblatt International, 107(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 research. International Journal of Nursing Studies, 51(5), 795-806
Gianicolo, E. A., Eichler, M., Muensterer, O., Strauch, K., & Blettner, M. (2020). Methods for Evaluating Causality in Observational Studies. Deutsches Ärzteblatt International, 117(7), 101.
Giuliano, K. K., & Polanowicz, M. (2008). Interpretation and use of statistics in nursing research. AACN Advanced Critical Care, 19(2), 211-222.
Gluud, L. L. (2006). Bias in clinical intervention research. American journal of epidemiology, 163 (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 letters, 15 (5), 20190174.
Hammer, G. P., du Prel, J. B., & Blettner, M. (2009). Avoiding bias in observational studies. Deutsches Ärzteblatt International, 106(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 programs. Nursing Outlook, 69(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 disciplines. Journal of clinical and translational science, 5(1).
Hoe, J., & Hoare, Z. (2012). Understanding quantitative research: Part 1. Nursing Standard (through 2013), 27(15-17), 52.
Hoare, Z., & Hoe, J. (2013). Understanding quantitative research: Part 2. Nursing Standard, 27(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 International, 113(35-36), 597.
Kwiecien, R., Kopp-Schneider, A., & Blettner, M. (2011). Concordance analysis. Deutsches Ärzteblatt International, 108(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 manuscript. Elife, 8.
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 International, 107(11), 187.
Röhrig, B., Du Prel, J. B., & Blettner, M. (2009). Study design in medical research. Deutsches Ärzteblatt International, 106(11), 184.
Sauerbrei, W., & Blettner, M. (2009). Interpreting results in 2×2 tables. Deutsches Ärzteblatt International, 106(48), 795
Schober, P., Boer, C., & Schwarte, L. A. (2018). Correlation coefficients: appropriate use and interpretation. Anesthesia & Analgesia, 126(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 again. Anesthesia and analgesia, 127(2), 569.
Schober, P., & Vetter, T. R. (2018). Survival analysis and interpretation of time-to-event data: the tortoise and the hare. Anesthesia and analgesia, 127(3), 792
Schober, P., & Vetter, T. R. (2019). Chi-square tests in medical research. Anesthesia & Analgesia, 129(5), 1193.
Schober, P., & Vetter, T. R. (2020). Nonparametric statistical methods in medical research. Anesthesia & Analgesia, 131(6), 1862-1863.
Schober, P., & Vetter, T. R. (2021). Count data in medical research: Poisson regression and negative binomial regression. Anesthesia & Analgesia, 132(5), 1378-1379.
Schober, P., & Vetter, T. R. (2021). Linear mixed-effects models in medical research. Anesthesia & Analgesia, 132(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 studies. Biochemia medica, 31 (1), 27-53.
Spriestersbach, A., Röhrig, B., Du Prel, J. B., Gerhold-Ay, A., & Blettner, M. (2009). Descriptive statistics. Deutsches Ärzteblatt International, 106(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 Education. Journal of Graduate Medical Education, 13(6), 753-756.
Trochim, W. M. (1990). The regression-discontinuity design. Research methodology: Strengthening causal interpretations of nonexperimental data, 119-130.
Vickers, A. J., & Altman, D. G. (2001). Analysing controlled trials with baseline and follow up measurements. Bmj, 323 (7321), 1123-1124.
Wasserstein, R. L., Schirm, A. L., & Lazar, N. A. (2019). Moving to a world beyond “p< 0.05”. The American Statistician, 73 (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. Trials, 18 (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 nursing, 21(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 Scholarship, 52(6), pp.688-695.
Kathleen Zellner, M. S. N., & Boerst, C. J. (2007). Statistics used in current nursing research. Journal of Nursing Education, 46(2), 55.
Zwiener, I., Blettner, M., & Hommel, G. (2011). Survival analysis. Deutsches Ärzteblatt International, 108(10), 163.