Estimating Causal Effects: Using Experimental and Observation Designs

Experimental and Quasi-Experimental Desi

📁 Experimental and Quasi-Experimental Designs for Generalized Causal Inference

✍ William R. Shadish, Thomas D. Cook, Donald Thomas Campbell 📂 Library 📅 2002 🏛 Houghton Mifflin Company 🌐 English

This long awaited successor of the original Cook/Campbell Quasi-Experimentation: Design and Analysis Issues for Field Settings represents updates in the field over the last two decades. The book covers four major topics in field experimentation:

Experimental and Quasi-Experimental Desi

📁 Experimental and Quasi-Experimental Designs for Generalized Causal Inference

✍ William R. Shadish, Thomas D. Cook, Donald T. Campbell 📂 Library 📅 2002 🏛 Houghton Mifflin Company 🌐 English

This is a book for those who have already decided that identifying a dependable relationship between a cause and its effects is a high priority and who wish to consider experimental methods for doing so. Such causal relationships are of great importance in human affairs. The rewards associated with

Experimental and Quasi-Experimental Desi

📁 Experimental and Quasi-Experimental Designs for Generalized Causal Inference

✍ William R. Shadish, Thomas D. Cook, Donald T. Campbell 📂 Library 📅 0 🏛 Houghton Mifflin Company 🌐 English

This is a book for those who have already decided that identifying a dependable relationship between a cause and its effects is a high priority and who wish to consider experimental methods for doing so. Such causal relationships are of great importance in human affairs. The rewards associated with

Targeted Learning: Causal Inference for

📁 Targeted Learning: Causal Inference for Observational and Experimental Data

✍ Mark J. van der Laan, Sherri Rose (auth.) 📂 Library 📅 2011 🏛 Springer-Verlag New York 🌐 English

The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hundreds of thousands of measurements for a single subject. The field is ready to move towards clear objective benchmarks under which too

Causation and Causal Theories

📁 Causation and Causal Theories

✍ French P.A., Uehling, T.E., Jr., Wettstein H.K. 📂 Library 📅 1984 🏛 University of Minnesota Press 🌐 English

Mendelian Randomization: Methods for Usi

📁 Mendelian Randomization: Methods for Using Genetic Variants in Causal Estimation

✍ Stephen Burgess, Simon G. Thompson 📂 Library 📅 2015 🏛 Chapman and Hall/CRC 🌐 English

Presents the Terminology and Methods of Mendelian Randomization for Epidemiological Studies Mendelian randomization uses genetic instrumental variables to make inferences about causal effects based on observational data. It, therefore, can be a reliable way of assessing th