𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Sequential maximum likelihood estimation with applications to logistic regression in case-control studies

✍ Scribed by Patricia Grambsch


Publisher
Elsevier Science
Year
1989
Tongue
English
Weight
854 KB
Volume
22
Category
Article
ISSN
0378-3758

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Weighted likelihood estimating equations
✍ Marianthi Markatou; Ayanedranath Basu; Bruce Lindsay πŸ“‚ Article πŸ“… 1997 πŸ› Elsevier Science 🌐 English βš– 962 KB

We discuss a method of weighting the likelihood equations with the aim of obtaining fully efficient and robust estimators. We discuss the case of discrete probability models using several weighting functions. If the weight functions generate increasing residual adjustment functions then the method p

Bias Adjustment with Polychotomous Logis
✍ Dr. K.-H. Becher; Dr. K.-H. JΓΆckel πŸ“‚ Article πŸ“… 2007 πŸ› John Wiley and Sons 🌐 English βš– 820 KB

Relative risk estimation in case-control studies is based on the premise that the control groiip represents the underlying population. Often more than one control group is collected in order to minimize the possibility of accepting a false result. I n this paper it is assumed that a case is matched

Lp convergence of reciprocals of sample
✍ N. Etemadi; T.N. Sriram; A.N. Vidyashankar πŸ“‚ Article πŸ“… 1997 πŸ› Elsevier Science 🌐 English βš– 614 KB

Let {Z,,; n >~ 1} be a stationary sequence of non-negative random variables with finite first too-. ment. It is known that the sample average 2, converges to a random variable Z with probability one. In this paper we have two objectives: First, we obtain a necessary and sufficient condition for the