Relationship between Derivatives of the Observed and Full Loglikelihoods and Application to Newton-Raphson Algorithm

Articles in the same Issue

1. Article
2. A Regression Model for Dependent Gap Times
3. Statistical Inference for Variable Importance
4. Statistical Classification of Abnormal Blood Profiles in Athletes
5. Relationship between Derivatives of the Observed and Full Loglikelihoods and Application to Newton-Raphson Algorithm
6. The Two Sample Problem for Multiple Categorical Variables
7. Application of a Variable Importance Measure Method
8. Choice of Monitoring Mechanism for Optimal Nonparametric Functional Estimation for Binary Data
9. Approximate Power and Sample Size Calculations with the Benjamini-Hochberg Method
10. Estimating a Survival Distribution with Current Status Data and High-dimensional Covariates
11. An Improved Akaike Information Criterion for Generalized Log-Gamma Regression Models
12. Targeted Maximum Likelihood Learning
13. Modeling the Effect of a Preventive Intervention on the Natural History of Cancer: Application to the Prostate Cancer Prevention Trial