Skip to content
easyCris logoeasyCris
Sign inCreate accountDownload Free

Citations & References

Methodology bibliography for analyses covered in the easyCris guide.

Bibliography

  • Aalen, O. O. (1978). Nonparametric inference for a family of counting processes. Annals of Statistics, 6(4), 701-726.
  • Aalen, O. O. (1978). Nonparametric inference for a family of counting processes. Annals of Statistics, 6(4), 701–726. doi:10.1214/aos/1176344247
  • Anderson, T. W., & Darling, D. A. (1952). Asymptotic theory of certain "goodness of fit" criteria based on stochastic processes. Annals of Mathematical Statistics, 23(2), 193-212.
  • Anderson, T. W., & Darling, D. A. (1952). Asymptotic theory of certain "goodness of fit" criteria based on stochastic processes. Annals of Mathematical Statistics, 23(2), 193–212. doi:10.1214/aoms/1177729437
  • Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research. Journal of Personality and Social Psychology, 51(6), 1173-1182.
  • Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. doi:10.1037/0022-3514.51.6.1173
  • 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(1), 289-300.
  • Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B (Methodological), 57(1), 289–300. doi:10.1111/j.2517-6161.1995.tb02031.x
  • Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B, 57(1), 289-300.
  • Bonferroni, C. E. (1936). Teoria statistica delle classi e calcolo delle probabilità. Pubblicazioni del R Istituto Superiore di Scienze Economiche e Commerciali di Firenze, 8, 3–62.
  • Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society B, 20(2), 215-242.
  • Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society: Series B (Methodological), 20(2), 215–242. doi:10.1111/j.2517-6161.1958.tb00292.x
  • Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society B, 34(2), 187-220.
  • Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–220. doi:10.1111/j.2517-6161.1972.tb00899.x
  • Cramér, H. (1928). On the composition of elementary errors. Scandinavian Actuarial Journal, 1928(1), 13-74.
  • Cramér, H. (1928). On the composition of elementary errors. Scandinavian Actuarial Journal, 1928(1), 13–74. doi:10.1080/03461238.1928.10416862
  • Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press.
  • Cramér, H. (1946). Mathematical Methods of Statistics. Princeton: Princeton University Press.
  • Cunningham, F. et al. (2022). Ensembl 2022. Nucleic Acids Research, 50(D1), D988-D995.
  • Cunningham, F., Allen, J. E., Allen, J., Alvarez-Jarreta, J., Amode, M. R., Armean, I. M., ... & Flicek, P. (2022). Ensembl 2022. Nucleic Acids Research, 50(D1), D988–D995. doi:10.1093/nar/gkab1049
  • De Lean, A., Munson, P. J., & Rodbard, D. (1978). Simultaneous analysis of families of sigmoidal curves: application to bioassay, radioligand assay, and physiological dose–response curves. American Journal of Physiology—Endocrinology and Metabolism, 235(2), E97–E102. doi:10.1152/ajpendo.1978.235.2.E97
  • DeLean, A., Munson, P. J., & Rodbard, D. (1978). Simultaneous analysis of families of sigmoidal curves. American Journal of Physiology, 235(2), E97-E102.
  • Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013). STAR: ultrafast universal RNA-seq aligner. Bioinformatics, 29(1), 15–21. doi:10.1093/bioinformatics/bts635
  • Dunn, O. J. (1964). Multiple comparisons using rank sums. Technometrics, 6(3), 241-252.
  • Dunn, O. J. (1964). Multiple comparisons using rank sums. Technometrics, 6(3), 241–252. doi:10.1080/00401706.1964.10490181
  • Dunnett, C. W. (1955). A multiple comparison procedure for comparing several treatments with a control. Journal of the American Statistical Association, 50(272), 1096–1121. doi:10.1080/01621459.1955.10501294
  • Fisher, R. A. (1921). On the "probable error" of a coefficient of correlation deduced from a small sample. Metron, 1, 3–32.
  • Fisher, R. A. (1922). On the interpretation of chi-square from contingency tables, and the calculation of P. Journal of the Royal Statistical Society, 85(1), 87-94.
  • Fisher, R. A. (1922). On the interpretation of χ² from contingency tables, and the calculation of P. Journal of the Royal Statistical Society, 85(1), 87–94. doi:10.2307/2340521
  • Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver & Boyd.
  • Fisher, R. A. (1925). Statistical Methods for Research Workers. Oliver & Boyd.
  • Gaddum, J. H. (1953). Bioassays and mathematics. Pharmacological Reviews, 5(1), 87–134.
  • Gaddum, J. H. (1953). Bioassays and mathematics. Pharmacological Reviews, 5(2), 87-134.
  • Gauss, C. F. (1809). Theoria motus corporum coelestium. Hamburg: Perthes et Besser.
  • Gauss, C. F. (1809). Theoria motus corporum coelestium. Perthes et Besser.
  • Grubbs, F. E. (1950). Sample criteria for testing outlying observations. Annals of Mathematical Statistics, 21(1), 27-58.
  • Grubbs, F. E. (1950). Sample criteria for testing outlying observations. Annals of Mathematical Statistics, 21(1), 27–58. doi:10.1214/aoms/1177729885
  • Hayes, A. F. (2022). Introduction to Mediation, Moderation, and Conditional Process Analysis (3rd ed.). Guilford Press (PROCESS framework).
  • Hayes, A. F. (2022). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (3rd ed.). New York: Guilford Press (PROCESS framework).
  • Hill, A. V. (1910). The possible effects of the aggregation of the molecules of haemoglobin on its dissociation curves. Journal of Physiology, 40, iv-vii.
  • Hill, A. V. (1910). The possible effects of the aggregation of the molecules of haemoglobin on its dissociation curves. Journal of Physiology, 40(Suppl), iv–vii.
  • Hosmer, D. W., & Lemeshow, S. (1980). Goodness of fit tests for the multiple logistic regression model. Communications in Statistics—Theory and Methods, 9(10), 1043–1069. doi:10.1080/03610928008827941
  • Hosmer, D. W., & Lemeshow, S. (1980). Goodness of fit tests for the multiple logistic regression model. Communications in Statistics, 9(10), 1043-1069.
  • Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters, 6(3), 255-259.
  • Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters, 6(3), 255–259. doi:10.1016/0165-1765(80)90024-5
  • Johnson, P. O., & Neyman, J. (1936). Tests of certain linear hypotheses and their application to some educational problems. Statistical Research Memoirs, 1, 57–93.
  • Jolliffe, I. T. (2002). Principal Component Analysis (2nd ed.). New York: Springer.
  • Jolliffe, I.T. (2002). Principal Component Analysis (2nd ed.). Springer.
  • Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457-481.
  • Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457–481. doi:10.2307/2281868
  • Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1–2), 81–93. doi:10.2307/2332226
  • Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1/2), 81-93.
  • Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47(260), 583-621.
  • Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47(260), 583–621. doi:10.2307/2280779
  • Legendre, A. M. (1805). Nouvelles methodes pour la determination des orbites des cometes. Firmin Didot.
  • Legendre, A.-M. (1805). Nouvelles méthodes pour la détermination des orbites des comètes. Paris: Firmin Didot.
  • Levene, H. (1960). Robust tests for equality of variances. In Contributions to Probability and Statistics (pp. 278-292). Stanford University Press.
  • Levene, H. (1960). Robust tests for equality of variances. In I. Olkin et al. (Eds.), Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling (pp. 278–292). Stanford University Press.
  • Liao, Y., Smyth, G. K., & Shi, W. (2014). featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics, 30(7), 923–930. doi:10.1093/bioinformatics/btt656
  • Lilliefors, H. W. (1967). On the Kolmogorov-Smirnov test for normality with mean and variance unknown. Journal of the American Statistical Association, 62(318), 399-402.
  • Lilliefors, H. W. (1967). On the Kolmogorov–Smirnov test for normality with mean and variance unknown. Journal of the American Statistical Association, 62(318), 399–402. doi:10.1080/01621459.1967.10482916
  • Love, M. I., Huber, W., & Anders, S. (2014). Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biology, 15, 550. doi:10.1186/s13059-014-0550-8
  • Love, M.I., Huber, W. & Anders, S. (2014). Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biology, 15, 550.
  • Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50-60.
  • Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60. doi:10.1214/aoms/1177730491
  • Mantel, N. (1966). Evaluation of survival data and two new rank order statistics arising in its consideration. Cancer Chemotherapy Reports, 50(3), 163–170.
  • McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105-142). Academic Press.
  • McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105–142). New York: Academic Press.
  • McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153-157.
  • McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157. doi:10.1007/BF02295996
  • Nelder, J. A., & Wedderburn, R. W. M. (1972). Generalized linear models. Journal of the Royal Statistical Society A, 135(3), 370-384.
  • Nelson, W. (1972). Theory and applications of hazard plotting for censored failure data. Technometrics, 14(4), 945-966.
  • Nelson, W. (1972). Theory and applications of hazard plotting for censored failure data. Technometrics, 14(4), 945–966. doi:10.1080/00401706.1972.10488991
  • Pearson, K. (1896). Mathematical contributions to the theory of evolution. III. Regression, heredity, and panmixia. Philosophical Transactions of the Royal Society A, 187, 253-318.
  • Pearson, K. (1896). Mathematical contributions to the theory of evolution. III. Regression, heredity, and panmixia. Philosophical Transactions of the Royal Society A, 187, 253–318. doi:10.1098/rsta.1896.0007
  • Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, 50(302), 157-175.
  • Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, Series 5, 50(302), 157–175. doi:10.1080/14786440009463897
  • Pratt, J. W. (1959). Remarks on zeros and ties in the Wilcoxon signed rank procedures. Journal of the American Statistical Association, 54(287), 655-667.
  • Pratt, J. W. (1959). Remarks on zeros and ties in the Wilcoxon signed rank procedures. Journal of the American Statistical Association, 54(287), 655–667. doi:10.1080/01621459.1959.10501526
  • Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing moderated mediation hypotheses: theory, methods, and prescriptions. Multivariate Behavioral Research, 42(1), 185–227. doi:10.1080/00273170701341316
  • Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing moderated mediation hypotheses. Multivariate Behavioral Research, 42(1), 185-227.
  • Ritz, C., Baty, F., Streibig, J. C., & Gerhard, D. (2015). Dose-response analysis using R. PLoS ONE, 10(12), e0146021.
  • Ritz, C., Baty, F., Streibig, J. C., & Gerhard, D. (2015). Dose–response analysis using R. PLoS ONE, 10(12), e0146021. doi:10.1371/journal.pone.0146021
  • Scheirer, C. J., Ray, W. S., & Hare, N. (1976). The analysis of ranked data derived from completely randomized factorial designs. Biometrics, 32(2), 429-434.
  • Scheirer, C. J., Ray, W. S., & Hare, N. (1976). The analysis of ranked data derived from completely randomized factorial designs. Biometrics, 32(2), 429–434. doi:10.2307/2529511
  • Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3-4), 591-611.
  • Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3–4), 591–611. doi:10.2307/2333709
  • Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13, 290-312.
  • Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13, 290–312. doi:10.2307/270723
  • Spearman, C. (1904). The proof and measurement of association between two things. American Journal of Psychology, 15(1), 72-101.
  • Spearman, C. (1904). The proof and measurement of association between two things. American Journal of Psychology, 15(1), 72–101. doi:10.2307/1412159
  • Student (1908). The probable error of a mean. Biometrika, 6(1), 1-25.
  • Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. doi:10.2307/2331554
  • Tukey, J. W. (1949). Comparing individual means in the analysis of variance. Biometrics, 5(2), 99-114.
  • Tukey, J. W. (1949). Comparing individual means in the analysis of variance. Biometrics, 5(2), 99–114. doi:10.2307/3001913
  • Tukey, J. W. (1977). Exploratory Data Analysis. Addison-Wesley.
  • Tukey, J. W. (1977). Exploratory Data Analysis. Reading, MA: Addison-Wesley.
  • Welch, B. L. (1947). The generalization of "Student's" problem when several different population variances are involved. Biometrika, 34(1-2), 28-35.
  • Welch, B. L. (1947). The generalization of "Student's" problem when several different population variances are involved. Biometrika, 34(1–2), 28–35. doi:10.2307/2332510
  • Wilcoxon, F. (1945). Individual comparisons by ranking methods. Biometrics Bulletin, 1(6), 80-83.
  • Wilcoxon, F. (1945). Individual comparisons by ranking methods. Biometrics Bulletin, 1(6), 80–83. doi:10.2307/3001968
  • Zhu, A., Ibrahim, J. G., & Love, M. I. (2019). Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences. Bioinformatics, 35(12), 2084–2092. doi:10.1093/bioinformatics/bty895