Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Targeted Learning In Data Science: Causal Inference For Complex Longitudinal StudiesISBN13:9783319653037ISBN10:3319653032Author:Van Der Laan, Mark J. (Author), Rose, Sherri (Author)Description:This Textbook For Graduate Students In Statistics, Data Science, And Public Health Deals With The Practical Challenges That Come With Big, Complex, And Dynamic Data It Presents A Scientific Roadmap To Translate Real-World Data Science Applications Into Formal Statistical Estimation Problems By Using The General Template Of Targeted Maximum Likelihood Estimators These Targeted Machine Learning Algorithms Estimate Quantities Of Interest While Still Providing Valid Inference Targeted Learning Methods Within Data Science Area Critical Component For Solving Scientific Problems In The Modern Age The Techniques Can Answer Complex Questions Including Optimal Rules For Assigning Treatment Based On Longitudinal Data With Time-Dependent Confounding, As Well As Other Estimands In Dependent Data Structures, Such As Networks Included In Targeted Learning In Data Science Are Demonstrations With Soft Ware Packages And Real Data Sets That Present A Case That Targeted Learning Is Crucial For The Next Generation Of Statisticians And Data Scientists Th Is Book Is A Sequel To The First Textbook On Machine Learning For Causal Inference, Targeted Learning, Published In 2011 Mark Van Der Laan, Phd, Is Jiann-Ping Hsukarl E Peace Professor Of Biostatistics And Statistics At Uc Berkeley His Research Interests Include Statistical Methods In Genomics, Survival Analysis, Censored Data, Machine Learning, Semiparametric Models, Causal Inference, And Targeted Learning Dr Van Der Laan Received The 2004 Mortimer Spiegelman Award, The 2005 Van Dantzig Award, The 2005 Copss Snedecor Award, The 2005 Copss Presidential Award, And Has Graduated Over 40 Phd Students In Biostatistics And Statistics Sherri Rose, Phd, Is Associate Professor Of Health Care Policy (Biostatistics) At Harvard Medical School Her Work Is Centered On Developing And Integrating Innovative Statistical Approaches To Advance Human Health Dr Rose's Methodological Research Focuses On Nonparametric Machine Learning For Causal Inference And Prediction She Co-Leads The Health Policy Data Science Lab And Currently Serves As An Associate Editor For The Journal Of The American Statistical Association And Biostatistics Binding:Hardcover, HardcoverPublisher:SpringerPublication Date:2018-03-22Weight:2.48 lbsDimensions:1.44'' H x 9.21'' L x 6.14'' WNumber of Pages:640Language:English
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Book Title: Targeted Learning In Data Science: Causal Inference For Comp...
Item Length: 9.3in
Item Width: 6.1in
Author: Sherri Rose, Mark J. Van Der Laan
Publication Name: Targeted Learning in Data Science : Causal Inference for Complex Longitudinal Studies
Format: Hardcover
Language: English
Publisher: Springer International Publishing A&G
Series: Springer Series in Statistics Ser.
Publication Year: 2018
Type: Textbook
Item Weight: 41.8 Oz
Number of Pages: Xlii, 640 Pages
