國立虎尾科技大學 |

Innovative Statistical Methods for Public Health Data

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Innovative Statistical Methods for Public Health Data/ edited by Ding-Geng (Din) Chen, Jeffrey Wilson.
其他作者:	Chen, Ding-Geng (Din).
面頁冊數:	XIV, 351 p. 45 illus., 22 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics . -
電子資源:	https://doi.org/10.1007/978-3-319-18536-1
ISBN:	9783319185361

Innovative Statistical Methods for Public Health Data
Innovative Statistical Methods for Public Health Data[electronic resource] /edited by Ding-Geng (Din) Chen, Jeffrey Wilson. - 1st ed. 2015. - XIV, 351 p. 45 illus., 22 illus. in color.online resource. - ICSA Book Series in Statistics,2199-0980. - ICSA Book Series in Statistics,.

Part 1: Modelling Clustered Data -- Methods for Analyzing Secondary Outcomes in Public Health Case Control Studies -- Controlling for Population Density Using Clustering and Data Weighting Techniques When Examining Social Health and Welfare Problems -- On the Inference of Partially Correlated Data with Applications to Public Health Issues -- Modeling Time-Dependent Covariates in Longitudinal Data Analyses -- Solving Probabilistic Discrete Event Systems with Moore-Penrose Generalized Inverse Matrix Method to Extract Longitudinal Characteristics from Cross-Sectional Survey Data -- Part II: Modelling Incomplete or Missing Data -- On the Effects of Structural Zeros in Regression Models -- Modeling Based on Progressively Type-I Interval Censored Sample -- Techniques for Analyzing Incomplete Data in Public Health Research -- A Continuous Latent Factor Model for Non-ignorable Missing Data -- Part III: Healthcare Research Models -- Health Surveillance -- Standardization and Decomposition Analysis: A Useful Analytical Method for Outcome Difference, Inequality and Disparity Studies -- Cusp Catastrophe Modeling in Medical and Health Research -- On Ranked Set Sampling Variation and its Applications to Public Health Research -- Weighted Multiple Testing Correction for Correlated Endpoints in Survival Data -- Meta-analytic Methods for Public Health Research.

The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference, and it can be used in graduate level classes.

ISBN: 9783319185361

Standard No.: 10.1007/978-3-319-18536-1doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Innovative Statistical Methods for Public Health Data
LDR:03666nam a22004215i 4500 001 960992
003 DE-He213
005 20200703132408.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783319185361 $9 978-3-319-18536-1
024 7 $a 10.1007/978-3-319-18536-1 $2 doi
035 $a 978-3-319-18536-1
050 4 $a QA276-280
072 7 $a PBT $2 bicssc
072 7 $a MED090000 $2 bisacsh
072 7 $a PBT $2 thema
072 7 $a MBNS $2 thema
082 0 4 $a 519.5 $2 23
245 1 0 $a Innovative Statistical Methods for Public Health Data $h [electronic resource] / $c edited by Ding-Geng (Din) Chen, Jeffrey Wilson.
250 $a 1st ed. 2015.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a XIV, 351 p. 45 illus., 22 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
347 $a text file $b PDF $2 rda
490 1 $a ICSA Book Series in Statistics, $x 2199-0980
505 0 $a Part 1: Modelling Clustered Data -- Methods for Analyzing Secondary Outcomes in Public Health Case Control Studies -- Controlling for Population Density Using Clustering and Data Weighting Techniques When Examining Social Health and Welfare Problems -- On the Inference of Partially Correlated Data with Applications to Public Health Issues -- Modeling Time-Dependent Covariates in Longitudinal Data Analyses -- Solving Probabilistic Discrete Event Systems with Moore-Penrose Generalized Inverse Matrix Method to Extract Longitudinal Characteristics from Cross-Sectional Survey Data -- Part II: Modelling Incomplete or Missing Data -- On the Effects of Structural Zeros in Regression Models -- Modeling Based on Progressively Type-I Interval Censored Sample -- Techniques for Analyzing Incomplete Data in Public Health Research -- A Continuous Latent Factor Model for Non-ignorable Missing Data -- Part III: Healthcare Research Models -- Health Surveillance -- Standardization and Decomposition Analysis: A Useful Analytical Method for Outcome Difference, Inequality and Disparity Studies -- Cusp Catastrophe Modeling in Medical and Health Research -- On Ranked Set Sampling Variation and its Applications to Public Health Research -- Weighted Multiple Testing Correction for Correlated Endpoints in Survival Data -- Meta-analytic Methods for Public Health Research.
520 $a The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference, and it can be used in graduate level classes.
650 0 $a Statistics . $3 1253516
650 0 $a Public health. $3 560998
650 0 $a Laboratory medicine. $3 1254567
650 1 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 670172
650 2 4 $a Public Health. $3 592982
650 2 4 $a Laboratory Medicine. $3 673604
700 1 $a Chen, Ding-Geng (Din). $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1200338
700 1 $a Wilson, Jeffrey. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1067974
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319185354
776 0 8 $i Printed edition: $z 9783319185378
776 0 8 $i Printed edition: $z 9783319366418
830 0 $a ICSA Book Series in Statistics, $x 2199-0980 $3 1255207
856 4 0 $u https://doi.org/10.1007/978-3-319-18536-1
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)