Faculty of Medical and Health Sciences

POPLHLTH 707 - Statistics in Health Science 2

15 Points

Semester 2



Develops and builds on elementary statistical methods and prepares the student for advanced epidemiological and statistical analysis.


Prerequisite: POPLHLTH 706

Course aims

Content Outline

  • Review of common biostatistical procedures and concepts.
  • Introduction to Stata; the program windows; creating variables; data operations; graphics
  • Epidemiological analysis: Frequency tables, modelling.
  • 2x2 tables; Analysis of case-control, cohort tables. Tests of effect.
  • Stratified analysis in epidemiology; Mantel-Haenszel and other estimators
  • Logistic and Poisson regression
  • Measures of agreement.
  • Time to event analysis. Definitions of rates, survival functions. Person-time.
  • Stratified analysis of rates. Cohort studies.
  • Analysis of life tables; Censoring; Kaplan Meier plots; log-rank
  • Proportional hazards and other modelling methods.
  • Sample Survey analysis, simple random sampling, stratified analysis.
  • Cluster and multi-stage sampling
  • Other multivariate methods: correlation analysis, consistency
  • Discrimination, classification problems; prognostic/diagnostic indices;

Goals of the Course

This course focuses on practical and theoretical aspects of statistics in health sciences. It advances some of the ideas in Statistics in Health Science (POPLHLTH 706) and introduces new topics. Practical skills in the use of a computer data analysis package Stata will be developed.

Learning Outcomes 

Students will gain some knowledge of a broad range of statistical techniques that are commonly used in clinical, epidemiological, and public health research. They will be competent users of a computer program (Stata) to analyse data.

Learning and Teaching

Campus Teaching Dates 

This course is held at Tāmaki Campus. Please see your timetable on SSO or Building 730 Reception noticeboard on the day for the room details.


Learning Resources 

Copies of all PowerPoint slides used in the lectures will be provided via Canvas, as well as supplementary notes and other learning material. These, with Statistics for Health Sciences 2 Lecture Notes by Roger Marshall, will be sufficient for the course. However, students may find benefit in other sources. Good books are:

  • Medical Statistics: A Common Sense approach. Michael Campbell and David Machin. Wiley and Sons
  • Practical Statistics for Medical Research. Douglas Altman, Chapman-Hall, 1991
  • Interpretation and uses of Medical Statistics. LE Daly and GJ Bourke, Blackwell Science


Assessment is by coursework (50%) and examination (50%). Students will be expected to complete and hand in regular exercises for coursework component.


Programme and Course Advice 

This course is offered every second year. Mathematics is kept to a minimum, but knowledge of basic mathematics is necessary to understand the topics covered. 

Course Coordinator

Course Administrator