PARAMETER ESTIMATION AND DETERMINATION OF SAMPLE SIZE IN LOGISTIC REGRESSION | Science Publications

Journal of Mathematics and Statistics

Dawud Adebayo Agunbiade¹  Adeleke Kazeem Adedayo¹ 

关键词: Logistic Regression;    Sample Size;    Power;    Proportional Odds Model;   

DOI  :  10.3844/jmssp.2012.481.488

学科分类：社会科学、人文和艺术（综合）

来源: Science Publications

【 摘 要 】

The determination of Sample-Size is often an important step in planning a statistical study and it is usually a difficult task. Among the important hurdles to be surpassed, one must obtain an estimate of one or more error variances and specify an effective sample size of importance. The study was carried out to check for the estimation of parameter and sample sizes in logistic regression, although, there is the temptation to take some shortcuts. We to looked at two methods of obtaining sample sizes having obtain the parameter estimates by varying the response probability. The results from the real life data showed that when the response probabilities are small, an approximation of corrected term Equation 12 performs better than the approximation Equation 8, but it highly over estimates when the response probabilities are large.

【 授权许可】

Unknown