By Mark J. van der Laan, Sherri Rose
- Establishes causal inference technique that includes the advantages of computer studying with statistical inference
- Presentation combines accessibility with the method's rigorous grounding in statistical theory
- Demonstrates special studying in epidemiological, clinical, and genomic experimental and observational reports that come with informative dropout, missingness, time-dependent confounding, and case-control sampling
The facts career is at a different aspect in heritage. the necessity for legitimate statistical instruments is bigger than ever; facts units are great, frequently measuring thousands of measurements for a unmarried subject. The box is able to circulate in the direction of transparent target benchmarks below which instruments may be evaluated. specific studying permits (1) the whole generalization and usage of cross-validation as an estimator choice instrument in order that the subjective offerings made through people are actually made through the desktop, and (2) focusing on the perfect of the chance distribution of the knowledge towards the objective parameter representing the clinical query of curiosity.
This ebook is geared toward either statisticians and utilized researchers drawn to causal inference and common influence estimation for observational and experimental info. half I is an available creation to tremendous studying and the specific greatest chance estimator, together with similar recommendations essential to comprehend and practice those equipment. components II-IX deal with complicated info constructions and issues utilized researchers will instantly realize from their very own study, together with time-to-event results, direct and oblique results, positivity violations, case-control reviews, censored facts, longitudinal facts, and genomic studies.
-Judea Pearl, machine technology division, collage of California, Los Angeles
"In precis, this e-book can be at the shelf of each investigator who conducts observational examine and randomized managed trials. The thoughts and method are foundational for causal inference and even as remain actual to what the information handy can say concerning the questions that inspire their collection."
-Ira B. Tager, department of Epidemiology, collage of California, Berkeley
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