MARC details
| 000 -LEADER |
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| fixed length control field |
07488nam a2200301Ia 4500 |
| 001 - CONTROL NUMBER |
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| control field |
ocm61880159 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OCoLC |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
051008s2005 txua 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
1597180084 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
NDB |
| Transcribing agency |
NDB |
| 082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
519.50243 RAB |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Rabe-Hesketh, S. |
| 245 10 - TITLE STATEMENT |
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| Title |
Multilevel and longitudinal modeling using Stata / |
| Statement of responsibility, etc. |
Sophia Rabe-Hesketh, Anders Skrondal. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
College Station, Tex. : |
| Name of publisher, distributor, etc. |
Stata Press, |
| Date of publication, distribution, etc. |
c2005. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xxiii, 317 p. : |
| Other physical details |
ill. ; |
| Dimensions |
24 cm. |
| 505 #0 - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
1. LINEAR VARIANCE-COMPONENTS MODELS:- Introduction--How reliable are expiratory flow measurements?--The variance- components model--Model specification and path diagram--Error components, variance components, and relaibility--Intraclass correlation--Modeling the mini wright measurements--Estimation using xtreg--Estimation using xtmixed--Estimation using gllamm--Relative and absolute agreement--Estimation methods--Assigning values to the random intercepts--Maximum likelihood estimation--Implementation via OLS regression--Implementation via the mean total residual--Empirical Bayes prediction--Empirical Bayes variances--Summary and further reading--Exercises--2. LINEAR RANDOM-INTERCEPT MODELS:- Introduction--Are tax preparers useful?--The longitudinal data structure--Panel data and correlated residuals--The random-intercept model--Estimation using xtreg--Estimation using xtmixed--Different kinds of effects in panel models--Between -taxpayer effects--within-taxpayer effect--Relations among the estimators--Endogeneity and between-taxpayer effects--Residual diagnostics-- Summary and further reading--Exercises--3. LINEAR RANDOM-COEFFICIENT AND GROWTH-CURVE MODELS:- Introduction--How effective are different schools?--Separate linear regressions for each school--The random-coefficient model--Specification and interpretation of a random-coefficient model--Estimation and prediction using xtmixed--Estimation of random-intercept model--Estimation of random-coefficient model--Empirical Bayes prediction using xtmixed--Estimation and prediction using gllamm--Estimation of random-intercept model--Estimation of random-coefficient model--Empirical Bayes prediction--How do children grow?--Growth-curve modeling--Observed growth trajectories--Estimation using xtmixed --Quadratic growth model with random intercept--Quadratic growth model with random intercept and random slope--Including a child-level covariate--Estimation using gllamm--Quadratic growth model with random intercept--Quadratic growth model with random intercept and random slope--Including a child-level covariate--Two-stage model formulation--Model specification--Estimation--Prediction of trajectories for individual children--Complex level-1 variation or heteroskedasticity-Summary and further reading--Exercises--4. DICHOTOMOUS OR BINARY RESPONSES:- Models for dichotomous responses--Generalized linear model formulation--Latent-response formulation--Logistic regression--Probit regression--Which treatment is best for toenail infection?--The longitudinal data structure--Population-averaged or marginal probabilities--Random-intercept logistic regression--Subject-specific vs. population-averaged relationships--maximum likelihood estimation using adaptive quadrature--Some practical considerations--Empirical Bayes (EB) predictions--EB prediction of random effects--EB prediction of response probabilities--Other approaches to clustered dichotomous data--Conditional logistic regression--Generalised estimating equations (GEE)-- Summary and further reading--Exercises--5. ORDINAL RESPONSES:- Introduction--Cumulative models for ordinal responses--Generalised linear model formulation--Latent-response formulation--Proportional odds--Identification--Are antipsychotic drugs effective for patients with schizophrenia?--Longitudinal data structure and graphs--The longitudinal data structure--Plotting cumulative proportions--Plotting cumulative logits and transforming the time scale--A proportional-odds model--Model specification--Estimation--A random-intercept proportional-odds model--Model specification--Estimation--A random co-efficient proportional-odds model--Model specification--Estimation--Marginal and patient-specific probabilities--Marginal probabilities--Patient-specific cumulative response probabilities--Do experts differ in their grading of student essays?--A random-intercept model with grader bias--Model specification--Estimation--Including grader-specific measurement error variances--Model specification--Estimation--Including grader-specific thresholds--Model specification--Estimation--Summary and further reading--Exercises--6. COUNTS:- Introduction--Types of counts--Poisson models for counts--Did the German health-care reform reduce the number of doctor visits?--Longitudinal data structure--Poisson regression ignoring overdispersion and clustering--Model specification--Estimation--Poisson regression with overdispersion but ignoring clustering--Using a level-1 random intercept--Model specification--Estimation--Quasilikelihood--Specification--Estimation--Random-intercept poisson regression--Model specification--Estimation--Random-coefficient poisson regression--Model specification--Estimation--Other approaches to clustered counts--Conditional Poisson regression--Generalized estimating equations (GEE)--Which Scottish counties have a high risk of lip cancer?--Standardized mortality ratios--Random-intercept Poisson regression--Model specification--Estimation--Introducing a county-level covariate--Prediction--Nonparametric maximum likelihood estimation--Specification--Estimation--Prediction--Summary and further reading--Exercises--7. HIGHER LEVEL MODELS AND NESTED RANDOM EFFECTS:- Introduction--Which method is best for measuring expiratory flow?--Two-level variance-components models--Model specification--Estimation--Three level variance-components models--Model specification--Different types of intraclass correlation--Three-stage formulation--Estimation using xtmixed--Prediction using xtmixed--Did the Guatemalan immunization campaign work?--A three-level logistic random-intercept model--Model specification--Different types of intraclass correlations for the latent responses--Three stage formulation--Estimation--Introducing a random coefficient at levle 3--Prediction--Summary and further reading--Exercises--8. CROSSED RANDOM EFFECTS:- Introduction--How does investment depend on expected profit and capital stock?--A two-way error-components model--Model specification--Intraclass correlations--Estimation--Prediction-- How much do primary and secondary schools affect attainment at age 16?-- An addictive crossed random-effects model--Specification--Estimation--Including a random interaction--Model specifications--Interclass correlations--Estimation--Some diagnostics--A trick requiring fewer random effects--Summary and further reading--Exercises. |
| 630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE |
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| Uniform title |
Stata. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Social sciences |
| General subdivision |
Statistical methods |
| -- |
Computer programs. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Statistics |
| General subdivision |
Computer programs. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Longitudinal method. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Skrondal, Anders. |
| 902 ## - LOCAL DATA ELEMENT B, LDB (RLIN) |
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| a |
170814 |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) |
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| a |
.b10368279 |
| b |
nlib |
| c |
- |
| 960 ## - PHYSICAL LOCATION (RLIN) |
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| Physical location, PLOC (RLIN) |
nlib |
| Copies |
2 |
| Cataloging date |
070307 |
| Code1 |
- |
| Code2 |
- |
| Code3 |
- |
| Code4 |
- |
| Acquisition type - method of paying for the material |
p |
| Claim – claiming activity |
c |
| Estimated price |
70.50 |
| Form – physical form |
b |
| Fund |
don |
| Order date |
2006-04-27 |
| Order note |
- |
| Order type |
f |
| Receiving action |
- |
| Received date |
2006-12-20 |
| Receiving location |
a |
| Billing location |
q |
| Status |
a |
| Temporary shelving location |
- |
| Vendor |
bookn |
| Language |
eng |
| Country |
|
| Volumes |
0 |
| Millennium order record number |
.o10049769 |
| 961 ## - REQUESTOR & SELECTOR |
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| Internal note |
claim1 was sent 07-07-2006 |
| -- |
claim2 was sent 28-08-2006 |
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claim3 was sent 19-10-2006 |
| Selector |
Mary McDonnell |
| Locations |
nlib |
| Funds |
don |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Suppress in OPAC |
0 |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
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| Operator's initials, OID (RLIN) |
0 |
| Cataloger's initials, CIN (RLIN) |
070108 |
| First Date, FD (RLIN) |
m |
| Local |
a |
| -- |
- |
| -- |
0 |