๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Application of Covariance Analysis to Ophtalmologic Research

โœ Scribed by Dr. K.-D. Wernecke; W. D. Ulrich


Publisher
John Wiley and Sons
Year
1978
Tongue
English
Weight
332 KB
Volume
20
Category
Article
ISSN
0323-3847

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Analysis of variance on ordinal variable
โœ Bernard, S. ;Derquenne, C. ;Oger, P. ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 119 KB ๐Ÿ‘ 2 views

Medical research data are often modelled either by analysis of variance (continuous response variables) or by logistic regression (nominal or ordinal response variables). These methods allow one to eliminate the structural effects among variables which are candidates for an explanation and to measur

Bayesian analysis of prevalence with cov
โœ Xin M. Tu; Jeanne Kowalski; Gang Jia ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 118 KB

Ignoring the limited precision of medical diagnostic tests can incur serious bias in prevalence estimation. Conversely, treating the values of sensitivity and specificity as constants, as in most studies, inevitably underestimates the variability of prevalence estimates. Bayesian inference provides

Mixture models for cancer survival analy
โœ R. De Angelis; R. Capocaccia; T. Hakulinen; B. Soderman; A. Verdecchia ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 140 KB ๐Ÿ‘ 2 views

The interest in estimating the probability of cure has been increasing in cancer survival analysis as the curability of many cancer diseases is becoming a reality. Mixture survival models provide a way of modelling time to death when cure is possible, simultaneously estimating death hazard of fatal

Applications of Logistic Model to Medica
โœ S. Jain ๐Ÿ“‚ Article ๐Ÿ“… 1987 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 231 KB ๐Ÿ‘ 1 views

The estimation of odd ratio from contingency tablee is one of the main problems faced by medical remarchera. The pnrpoee of this paper is to review and p r m n t application8 of logistic model and its conn&tion to odd ratio. Numerical examplea are given illustrating the use of l@&c model for eatimat