Statistical approach for evaluation of contraceptive data.
This article will define how best to analyse data collected from a longitudinal follow up on contraceptive use and discontinuation, with special consideration to the needs of developing countries. Accessibility and acceptability of contraceptives at the ground level remains low and it is an overlooked area of research. The author presents a set of propositions that are closer in spirit to practical recommendations than to formal theorems. We will comment specifically on issues of model validation of model through bootstrapping techniques. The paper makes a presentation of a multivariate model to assess the rate of discontinuation of contraception, while accounting for the possibility that there may be factors that influence both a couple's choice of provider and their probability of discontinuation.
Tripathi
Vriyesh
V
Department of Mathematics & Computer Science, Faculty of Science & Agriculture University of West Indies, St Augustine Campus, Trinidad & Tobago. vrijesh_tripathi@yahoo.com
D003267:Contraception / Q000379:methods / Q000706:statistics & numerical data*; D003270:Contraceptive Agents; D003273:Contraceptive Devices; D003627:Data Interpretation, Statistical; D005260:Female; D006801:Humans; D008297:Male; D015233:Models, Statistical; D012107:Research Design
D003270:Contraceptive Agents