Hands-On Data Analysis Course Using Stata Workshop Outline

DAY 1: 7th June

  • Checking-in and onsite registration of participants
  • STATA Software installation
  • Introduction of participants
  • Course Introduction/Course pre-test
  • Introduction to basic Statistical Concepts
  • Introduction to the STATA software interphase:
  • The command, variable, history and properties window
  • STATA modes: Do-files, Log-files and .dta files
  • Use of Stata “point and click” technique (including demo) to conduct Descriptive studies.
  • Mean, median and interquartile range
  • Confidence Intervals. Summary Tables and single mean, proportion
  • Introduction to graph plotting in STATA
    • Box & whisker plots
    • Histogram
    • Scatterplots
    • Bar graphs
  • Introduction to the use of Stata software programming commands. Data management and cleaning, (Data manipulation) Use of do-file, logfile, coding and recoding, generate, display, transformation
  • Data entry in STATA

Day 2: 8th June

Introduction to Bivariate analysis, Parametric & Non-parametric tests

  • Categorical data comparisons
    • Chi-square analysis
    • Fischer’s Exact test
  • Continuous variable comparisons
    • Pearson Correlation analysis
    • Correlation co-efficient (strength and direction of the relationship)
    • Scatter plot with a line of best fit
  • Tests of Mean Comparisons
    • Introduction to T-test
      • Independent Sample T-test/Student t-test
      • Dependent Sample T-test

Use of STATA commands to conduct:

  • One-way ANOVA
  • Post hoc analysis (Tests of multiple comparisons)
  • Types of Post-Hoc Analysis
  • Introduction to Non-parametric statistical tests
    • Mann Whitney test
    • Kruskall wallis test
    • Spearman rank correlation
    • Wilcoxon sign-rank test

DAY 3: 9th June

  • Normality tests using STATA
  • Reliability Tests (Cronbach Alpha Test Statistics)

– Introduction to Prediction Analysis

  • Linear Regression Modelling
  • Logistic Regression
  • Multiple linear regression,
  • Polynomial regression
  • ROC curve analysis & Diagnostic accuracy studies

– Intepretation and presentation of results

– Course Evaluation/Post test

– Award of Certificates

COURSE FACILITATOR

Chisom Godswill

MPH (Epid & Biostat), Cert M & E (Washington)

Research Data Scientist/Biostatistician and Lead Data Manager,

TabCAT and SIFCOVAN Study Projects

VENUE

Lecture Hall 2, Fragani, College of Health Science, Nnamdi Azikiwe University, Nnewi Campus