| Autore |
Verbeke Geert
|
| Edizione | [1st ed. 1997.] |
| Pubbl/distr/stampa |
New York, NY : , : Springer New York : , : Imprint : Springer, , 1997
|
| Descrizione fisica |
1 online resource (319 pages)
|
| Disciplina |
519.5/3
|
| Collana |
Lecture Notes in Statistics
|
| Soggetto topico |
Biometry
Biostatistics
|
| Classificazione |
62J12
|
| Formato |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione |
eng
|
| Nota di contenuto |
1 Introduction -- 2 An Example-Based Tour in Linear Mixed Models -- 2.1 Fixed Effects and Random Effects in Mixed Models -- 2.2 General Linear Mixed Models -- 2.3 Variance Components Estimation and Best Linear Unbiased Prediction -- 2.4 Fixed Effects: Estimation and Hypotheses Testing -- 2.5 Case Studies -- 3 Linear Mixed Models for Longitudinal Data -- 3.1 Introduction -- 3.2 The Study of Natural History of Prostate Disease -- 3.3 A Two-Stage Analysis -- 3.4 The General Linear Mixed-Effects Model -- 3.5 Example -- 3.6 The RANDOM and REPEATED Statements -- 3.7 Testing and Estimating Contrasts of Fixed Effects -- 3.8 PROC MIXED versus PROC GLM -- 3.9 Tests for the Need of Random Effects -- 3.10 Comparing Non-Nested Covariance Structures -- 3.11 Estimating the Random Effects -- 3.12 General Guidelines for Model Construction -- 3.13 Model Checks and Diagnostic Tools ? -- 4 Case Studies -- 4.1 Example 1: Variceal Pressures -- 4.2 Example 2: Growth Curves -- 4.3 Example 3: Blood Pressures -- 4.4 Example 4: Growth Data -- 5 Linear Mixed Models and Missing Data -- 5.1 Introduction -- 5.2 Missing Data -- 5.3 Approaches to Incomplete Data -- 5.4 Complete Case Analysis -- 5.5 Simple Forms of Imputation -- 5.6 Available Case Methods -- 5.7 Likelihood-Based Ignorable Analysis and PROC MIXED -- 5.8 How Ignorable Is Missing At Random ? ? -- 5.9 The Expectation-Maximization Algorithm ? -- 5.10 Multiple Imputation ? -- 5.11 Exploring the Missing Data Process -- A Inference for Fixed Effects -- A.1 Estimation -- A.2 Hypothesis Testing -- A.3 Determination of Degrees of Freedom -- A.4 Satterthwaite’s Procedure -- B Variance Components and Standard Errors -- C Details on Table 2.10: Expected Mean Squares -- D Example 2.8: Cell Proliferation -- References.
|
| Record Nr. | UNINA-9910969792603321 |
Info
Linear Mixed Models for Longitudinal Data
