Rates and Poisson regression
Rates In any longitudinal study (Chapter 12) investigating the occurrence of an event (such as death), we should take into account the fact that individuals are usually followed for different…
Rates In any longitudinal study (Chapter 12) investigating the occurrence of an event (such as death), we should take into account the fact that individuals are usually followed for different…
Clustered data conform to a hierarchical or nested structure in which, in its simplest form (the univariable two-level structure), the value of a single response variable is measured on a…
The Systematic Review What Is It? A systematic review1 is a formalized and stringent process of combining the information from all relevant studies (both published and unpublished) of the same…
Summarizing Data It is very difficult to have any ‘feeling’ for a set of numerical measurements unless we can summarize the data in a meaningful way. A diagram (Chapter 4)…
Summarizing Data If we are able to provide two summary measures of a continuous variable, one that gives an indication of the ‘average’ value and the other that describes the…
Statistical modelling includes the use of simple and multiple linear regression (Chapters 27–29), logistic regression (Chapter 30), Poisson regression (Chapter 31) and some methods that deal with survival data (Chapter…
Why Do We Sample? In statistics, a population represents the entire group of individuals in whom we are interested. Generally it is costly and labour-intensive to study the entire population…
What is Linear Regression? To investigate the relationship between two numerical variables, x and y, we measure the values of x and y on each of the n individuals in…
Why Transform? The observations in our investigation may not comply with the requirements of the intended statistical analysis (Chapter 35). A variable may not be Normally distributed, a distributional requirement…
Why Do We Do It? Given a large number of demographic or clinical features of an individual, we may want to predict whether that individual is likely to experience an…