Most Statistics Canada data are based on surveys with complex survey designs. To allow users to account for the survey design in their analyses, Statistics Canada generally provides both a probability weight and a set of survey bootstrap weights in the survey data files. This presentation will...

Medical randomized trials testing treatments are a complex technology and they require regular attention to assure data quality prior to definitive analysis. Typically, only simple non-graphical methods (tables, proportions) help monitor trial progress, except one graph of cumulative accrual...

International experiences with students (high school, medical) and clinical investigators (courses, trials' meetings) demonstrate that Stata is highly visual, intuitive, and relatively straightforward. Stata helps the teacher communicate efficiently and effectively about methods and concepts...

Open-ended questions can be a nightmare for statistical processing. Any mistake in spelling can result in a mismatch during merging, or multiple counting of the same object. For example, the answers to the "place-of-birth" question might be "Chicago" and "San Francisco", but in practice they are...

Research at Canadian Social Trends within Statistics Canada, Canada's premiere Statistical agency, often involves the creation and analysis of numerous descriptive tables. These tables provide convenient and easy-to-understand information for the general public, one of our many clients. Analysis...

Matching, especially in its propensity-score flavors, has become an extremely popular evaluation method. Matching is, in fact, the best-available method for selecting a matched (or reweighted) comparison group that looks like the treatment group of interest. In this talk, I will introduce...

In haplotype-association studies, the risk of a disease is often determined not only by the presence of certain haplotypes but also by their interactions with various environmental factors. The detection of such interactions with case-control data is a challenging task and often requires very...

Forecasters are expected to provide evaluations of their forecasts along with their forecasts. The forecast assessments demonstrate comparative, adequate, or optimal accuracy by common forecasting criteria to provide acceptable credence in the forecasts. To assist the Stata user in this process,...

In this presentation, I discuss a variety of ways in which you can interpret the results obtained from nonlinear models (e.g., logit, probit, poisson, and streg) and how these different ways of interpreting results are related. I pay particular attention to 1) the difference between average...

Discrete choice demand models are popular in applied analysis and can be estimated using market-level data on product shares and characteristics. The random parameters logit model is an extension to the traditional specification and can accommodate heterogeneity in consumer preferences and rich...