FISC
发表于 2025-4-1 04:47:10
Parametric Survival Models,The nonparametric estimator of .(.) is a very good descriptive statistic for displaying survival data. For many purposes, however, one may want to make more assumptions to allow the data to be modeled in more detail. By specifying a functional form for .(.) and estimating any unknown parameters in this function, one can
incarcerate
发表于 2025-4-1 07:05:36
Frank E. HarrellWritten by a well-known biostatistical researcher and expert on S-Plus.Provides full-scale case studies of non-trivial datasets.Case studies use S-PLUS.Includes supplementary material:
ESPY
发表于 2025-4-1 11:35:56
978-1-4419-2918-1Springer-Verlag New York 2001
Dorsal
发表于 2025-4-1 15:30:29
Regression Modeling Strategies978-1-4757-3462-1Series ISSN 0172-7397 Series E-ISSN 2197-568X
abracadabra
发表于 2025-4-1 20:37:03
Introduction,thods that enable an analyst to develop models that will make accurate predictions of responses for . observations. Prediction could be considered a superset of hypothesis testing and estimation, so the methods presented here will also assist the analyst in those areas. It is worth pausing to explain how this is so.
无礼回复
发表于 2025-4-1 23:26:56
S-Plus Software,s described below is useful in the same situations. S. functions allow interaction spline functions as well as a wide variety of predictor parameterizations for any regression function, and facilitate model validation by resampling.
CRAMP
发表于 2025-4-2 05:58:45
Binary Logistic Regression,g surgery, and occurrence of ventricular fibrillation in a dog. Often one wishes to study how a set of predictor variables . is related to a dichotomous response variable .. The predictors may describe such quantities as treatment assignment, dosage, risk factors, and year of treatment.
Aerophagia
发表于 2025-4-2 08:49:21
Logistic Model Case Study 2: Survival of Titanic Passengers,assenger age, sex, ticket class, and the number of family members accompanying each passenger. Nonparametric regression is also used. Since many of the passengers had missing ages, multiple imputation is used so that the complete information on the other variables can be efficiently utilized.