Sheet1NOTE: Same group if same optionsQUESTIONFIELD TYPEGROUPOPTIONS1Why did you enroll in this course?checkboxgroup0To acquire new expertise; To improve your expertise; To discuss related issues; No similar course exists elsewhere2How did the course meet your expectations?dropboxgroup1Perfectly; Well; Partially; Not at all3How do you assess the course content?radiogroup2Very Good; Good; Average; Unsatisfactory4How do you assess your instructor(s) performance?radiogroup2Very Good; Good; Average; Unsatisfactory5If you had questions, were they answered?radiogroup2Very Good; Good; Average; Unsatisfactory6Course Material(s) made available to participants?radiogroup2Very Good; Good; Average; Unsatisfactory7Duration and delivery of the course wasradiogroup2Very Good; Good; Average; Unsatisfactory8General organisation and coordination of the courseradiogroup2Very Good; Good; Average; Unsatisfactory9What is your overall assessment for this courseradiogroup2Very Good; Good; Average; Unsatisfactory10Any other comment?textareagroup3114. I would recommend others to attend a course presented by this lecturer.9. Are there topics/areas you feel should have been included in the workshop but were not?(Please list these topics below - separated by commas)13. How confident would you be to apply what you learnt in your current/future research/collaborations? 14. I plan on using the material I learnt during the workshop to train/teach others.16. Which topic/area do you feel you need follow-up advanced training on?Concepts of basic probability theory: population, sample, random variables, discrete vs continuous;Well-known probability distributions (binomial, uniform, normal, chi-squared, etc); Descriptive statistics and graphical representations (histograms, boxplots, etc);The framework for statistical hypothesis testing;T-tests, chi-squared tests, anova;Measuring correlation;Linear and logistic regression;Dimensionality reduction through PCA;Likelihood, Bayes' rule and the Bayesian approach;Basics of genetics, Mendelian and multi-factor inheritance;Genetic drift, natural selection, population stratification and admixture concepts;Organisation of genetic variation, haplotypes, linkage disequilibrium;Measures of linkage disequilibrium, power/sample size in association testing and inference from population genotypes;Study designs for association studies;Structure plots and K-Means clustering for population stratification and relatedness;Methods and Computer tools for SNP tagging and genotype imputation;Bayesian testing of association;GWAS and testing of multiple SNPs associations using Plink and R packages;Unphased genotypes and combining single locus tests;Calculating risk associated to SNPs;Multiple hypothesis testing and correction of p-values;Testing association in missing data;21. How was the quality of the Computer/network Training lab used during the workshop?24. The workshop gave me an opportunity to network and interact with other H3ABioNet/H3Africa personnel.25. What did you like the MOST about this workshop?26. What did you like the LEAST about this workshop?