SPSS for Starters and 2nd Levelers /

Detalles Bibliográficos
Autores principales: Cleophas, Ton J. (Autor), Zwinderman, Aeilko H. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: eBook
Lenguaje:English
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:2nd ed. 2016.
Materias:
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020 |a 9783319206004 
024 7 |a 10.1007/978-3-319-20600-4  |2 doi 
040 |a Sistema de Bibliotecas del Tecnológico de Costa Rica 
100 1 |a Cleophas, Ton J.  |e author. 
245 1 0 |a SPSS for Starters and 2nd Levelers /  |c by Ton J. Cleophas, Aeilko H. Zwinderman. 
250 |a 2nd ed. 2016. 
260 # # |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a XXV, 375 p. 148 illus., 30 illus. in color. :  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
505 0 |a Preface -- Introduction -- I Continuous outcome data -- One sample continuous data -- Paired continuous outcome data normality assumed -- Paired continuous outcome data nonnormality accounted -- Paired continuous outcome data with predictors -- Unpaired continuous outcome data normality assumed -- Unpaired continuous outcome data nonnormality accounted -- Linear regression for continuous outcome data -- Recoding for categorical predictor data -- Repeated-measures-analysis of variance normality assumed -- Repeated-measures-analysis of variance nonnormality accounted -- Doubly-repeated-measures-analysis of variance -- Multilevel modeling with mixed linear models. Random multilevel modeling with generalized mixed linear models -- One-way-analysis of variance normality assumed -- One-way-analysis of variance nonnormality accounted -- Trend tests of continuous outcome data -- Multistage regression -- Multivariate analysis with path statistics -- Multivariate analysis of variance -- Average-rank-testing for multiple outcome variables and categorical predictors -- Missing data imputation -- Meta-regression -- Poisson regression including a weight variable (time of observation) for rates -- Confounding -- Interaction -- Curvilinear analysis -- Loess and spline modeling for nonlinear data, where curvilinear models lack fit -- Monte Carlo analysis, the easy alternative for continuous outcome data -- Artificial intelligence as a distribution free alternative for nonlinear data -- Robust tests for data with large outliers -- Nonnegative outcome data using the gamma distribution -- Nonnegative outcome data with a big spike at zero using the Tweedie distribution -- Polynomial analysis for continuous outcome data with a sinusoidal pattern -- Validating quantitative diagnostic tests -- Reliability assessment of quantitative diagnostic tests -- II Binary outcome data -- One sample binary data -- Unpaired binary data -- Binary logistic regression with a binary predictor -- Binary logistic regression with categorical predictors -- Binary logistic regression with a continuous predictor -- Trend tests of binary data -- Paired binary outcome data without predictors -- Paired binary outcome data with predictors -- Repeated measures binary data -- Multinomial logistic regression for outcome categories -- Multinomial logistic regression with random intercepts for both categorical outcome and predictor data -- Comparing the performance of diagnostic tests -- Poisson regression for binary outcome data -- Loglinear models for the exploration of multidimensional contingency tables -- Probit regression for binary outcome data reported as response rates -- Monte Carlo analysis, the easy alternative for binary outcomes -- Validating qualitative diagnostic tests -- Reliability assessment of qualitative diagnostic tests. III Survival and longitudinal data -- Log rank tests -- Cox regression -- Cox regression with time-dependent variables -- Segmented Cox regression -- Assessing seasonality -- Probability assessment of survival with interval censored data analysis -- Index. 
650 0 |a Medicine. 
650 0 |a Application software. 
650 0 |a Biometrics (Biology). 
650 0 |a Statistics . 
650 1 4 |a Biomedicine, general. 
650 2 4 |a Computer Applications. 
650 2 4 |a Biometrics. 
650 2 4 |a Statistical Theory and Methods. 
650 2 4 |a Statistics and Computing/Statistics Programs. 
700 1 |a Zwinderman, Aeilko H.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks