Data Science and Sdgs: Challenges, Opportunities and Realities

Chapter 1: SDGs in Bangladesh: Implementation Challenges & Way Forward.- Chapter 2: Some Models and Their Extensions for Longitudinal Analyses.- Chapter 3: Association of IL-6 Gene rs1800796 Polymorphism with Cancer Risk: A Meta-Analysis.- Chapter 4: Two Level Logistic Regression Analysis of Factors Influencing Dual form of Malnutrition in Mother-child Pairs: A Household Study in Bangladesh.- Chapter 5: Divide and Recombine Approach for Analysis of Failure Data Using Parametric Regression Model.- Chapter 6: Performance of different data mining methods for predicting rainfall of Rajshahi district, Bangladesh.- Chapter 7: Generalized Vector Auto-regression Controlling Intervention and Volatility for Climatic Variables.- Chapter 8: Experimental Designs for fMRI Studies in Small Samples.- Chapter 9: Bioinformatic Analysis of Differentially Expressed Genes (DEGs) Detected from RNA-Sequencing Profiles of Mouse Striatum.- Chapter 10: Level of Serum High-sensitivity C-reactive protein Predicts Atherosclerosis and Coronary Artery Disease in Hyperglycemic Patients.- Chapter 11: Identification of Outliers in Gene Expression Data.- Chapter 12: Selecting Covariance Structure to Analyze Longitudinal Data: A Study to Model the Body Mass Index of Primary School Going Children in Bangladesh.- Chapter 13: Statistical Analysis of Various Optimal Latin Hypercube Designs.- Chapter 14: Erlang Loss Formulas: An Elementary Derivation.- Chapter 15: Machine Learning, Regression and Numerical Op