References

Buuren, Stef van. 2018. Flexible Imputation of Missing Data, Second Edition. Chapman; Hall/CRC. https://doi.org/10.1201/9780429492259.

Chang, W. 2013. R Graphics Cookbook. Oreilly and Associate Series. O’Reilly Media, Incorporated. https://books.google.com.my/books?id=\_iVFgKTRYrQC.

Chowdhury, Mohammad Ziaul Islam, and Tanvir C Turin. 2020. “Variable Selection Strategies and Its Importance in Clinical Prediction Modelling.” Family Medicine and Community Health 8 (1). https://doi.org/10.1136/fmch-2019-000262.

Daniel, W. W., and C. L. Cross. 2014. Biostatistics: Basic Concepts and Methodology for the Health Sciences. Wiley Series in Probability and Statistics Series. Wiley. https://books.google.com.my/books?id=zrCkmwEACAAJ.

Doll, Richard. 1971. “The Age Distribution of Cancer: Implications for Models of Carcinogenesis.” Journal of the Royal Statistical Society. Series A (General) 134 (2): 133–55. https://doi.org/10.2307/2343871.

Everitt, Brian S., and Torsten Hothorn. 2017. HSAUR: A Handbook of Statistical Analyses Using r (1st Edition). https://CRAN.R-project.org/package=HSAUR.

Fleiss, Joseph L, Bruce Levin, and Myunghee Cho Paik. 2003. Statistical Methods for Rates and Proportions. 3rd ed. USA: John Wiley & Sons.

Frome, E. L. 1983. “The Analysis of Rates Using Poisson Regression Models.” Biometrics 39 (3): 665–74. https://doi.org/10.2307/2531094.

Greenland, Sander, Rhian Daniel, and Neil Pearce. 2016. “Outcome Modelling Strategies in Epidemiology: Traditional Methods and Basic Alternatives.” International Journal of Epidemiology 45 (2): 565–75. https://doi.org/10.1093/ije/dyw040.

Greenland, Sander, and Neil Pearce. 2015. “Statistical Foundations for Model-Based Adjustments.” Annual Review of Public Health 36 (1): 89–108. https://doi.org/10.1146/annurev-publhealth-031914-122559.

Hafermann, Lorena, Heiko Becher, Carolin Herrmann, Nadja Klein, Georg Heinze, and Geraldine Rauch. 2021. “Statistical Model Building: Background ‘Knowledge’ Based on Inappropriate Preselection Causes Misspecification.” BMC Medical Research Methodology 21 (December): 1–12. https://doi.org/10.1186/S12874-021-01373-Z/TABLES/4.

Hosmer, D. W., S. Lemeshow, and R. X. Sturdivant. 2013. Applied Logistic Regression. Wiley Series in Probability and Statistics. Wiley. https://books.google.com.my/books?id=bRoxQBIZRd4C.

Hosmer, David. 2013. Applied Logistic Regression. Hoboken, New Jersey: Wiley.

Hu, Shuhua. 2007. “Akaike Information Criterion.” Center for Research in Scientific Computation 93.

Kang, Hyun. 2013. “The Prevention and Handling of the Missing Data.” Korean Journal of Anesthesiology 64 (5): 402. https://doi.org/10.4097/kjae.2013.64.5.402.

Kleinbaum, David. 2010. Logistic Regression : A Self-Learning Text. New York: Springer.

Kleinbaum, David G., and Mitchel Klein. 2005. Survival Analysis: A Self-Learning Text. New: Springer Science; Business Media, LLC.

Lemeshow, Stanley, and David W. Hosmer Jr. 2013. Applied Logistic Regression, 3rd Edition. Hardcover. Wiley. https://lead.to/amazon/com/?op=bt&la=en&cu=usd&key=0470582472.

Lemeshow, Stanley, Susanne May, and David W. Hosmer Jr. 2008. Applied Survival Analysis: Regression Modeling of Time-to-Event Data. Hardcover. Wiley-Interscience. https://lead.to/amazon/com/?op=bt&la=en&cu=usd&key=0471754994.

Long, J. S., J. Freese, and StataCorp LP. 2006. Regression Models for Categorical Dependent Variables Using Stata, Second Edition. A Stata Press Publication. Taylor & Francis. https://books.google.com.my/books?id=kbrIEvo\_zawC.

Martin W Heymans, Iris Eekhout. 2019. Applied Missing Data Analysis with SPSS and (r)studio. https://bookdown.org/mwheymans/bookmi/.

Neter, John Neter Michael Kutner William Wasserman Christopher Nachtsheim John. 2013. Applied Linear Statistical Models 5ed (Pb 2013). Paperback. MC GRAW HILL INDIA. https://lead.to/amazon/com/?op=bt&la=en&cu=usd&key=1259064743.

Peters, Tim J. 2008. “Multifarious Terminology: Multivariable or Multivariate? Univariable or Univariate?” Paediatric and Perinatal Epidemiology 22 (6): 506–6. https://doi.org/https://doi.org/10.1111/j.1365-3016.2008.00966.x.

Schafer, Joseph L., and John W. Graham. 2002. “Missing Data: Our View of the State of the Art.” Psychological Methods 7 (2): 147–77. https://doi.org/10.1037/1082-989x.7.2.147.

Sjoberg, Daniel D., Karissa Whiting, Michael Curry, Jessica A. Lavery, and Joseph Larmarange. 2021. “Reproducible Summary Tables with the Gtsummary Package.” The R Journal 13: 570–80. https://doi.org/10.32614/RJ-2021-053.

Stata. 2022a. “Re: St: Proper Usage: Univariate, Bivariate, Multivariate, Multivariab.” https://www.stata.com/statalist/archive/2013-10/msg00531.html.

———. 2022b. “Stata FAQ: Problems with Stepwise Regression.” https://www.stata.com/support/faqs/statistics/stepwise-regression-problems/.

Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, and Dewey Dunnington. 2020. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://CRAN.R-project.org/package=ggplot2.

Wickham, Hadley, and Garrett Grolemund. 2017. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. Paperback; O’Reilly Media. http://r4ds.had.co.nz/.

Wikipedia. 2022. “Akaike Information Criterion, Wikipedia. The Free Encyclopedia.” https://en.wikipedia.org/wiki/Akaike_information_criterion.

Woodward, M. 2013. Epidemiology: Study Design and Data Analysis, Third Edition. Chapman & Hall/CRC Texts in Statistical Science. CRC Press. https://books.google.com.my/books?id=VJDSBQAAQBAJ.

Zhang, Zhongheng. 2015. “Missing Data Exploration: Highlighting Graphical Presentation of Missing Pattern.” Annals of Translational Medicine 3 (December): 356. https://doi.org/10.3978/j.issn.2305-5839.2015.12.28.