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Causal Analysis in Population Studies

The central aim of many studies in population research and demography is to explain cause-effect relationships among variables or events;

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Causal Analysis in Population Studies

The central aim of many studies in population research and demography is to explain cause-effect relationships among variables or events;

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Big Data in Omics and Imaging, Two Volume Set

to Big Data in Omic and Imaging: Association Analysis, but can be read independently. Introduce causal inference;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic;

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Multimethod Research, Causal Mechanisms, and Case Studies

are the central goals of multimethod and case study research, and provides a logic for connecting case studies and causal mechanism analysis;

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Multimethod Research, Causal Mechanisms, and Case Studies

are the central goals of multimethod and case study research, and provides a logic for connecting case studies and causal mechanism analysis;

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Cambridge Studies in Probability, Induction and Decision Theory

ideas, Professor Eells advances the analysis of what it is for one factor to be a positive causal factor for another. A salient feature of the;

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Cambridge Studies in Probability, Induction and Decision Theory

ideas, Professor Eells advances the analysis of what it is for one factor to be a positive causal factor for another. A salient feature of the;

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Finding Pathways

link them. Nicholas Weller and Jeb Barnes propose that a solution lies in 'pathway analysis', the use of case studies to explore the causal;

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Finding Pathways

link them. Nicholas Weller and Jeb Barnes propose that a solution lies in 'pathway analysis', the use of case studies to explore the causal;

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Population Health Science

emerging approach to population studies that represents a seismic shift in how traditional health sciences measure and observe health events;

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Causation in Population Health Informatics and Data Science

thinking on causal inference in population health informatics. It is therefore a critical resource for all informaticians and epidemiologists;

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Epidemiology by Design

observational cohort studies, and case-control studies * Discussion of internal validity (within a sample), external validity, and population impact;

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An Introduction to Causal Analysis in Sociology

An Introduction to Causal Analysis in Sociology is een boek van Ian Birnbaum;

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Statistical Approaches to Causal Analysis

A practical, up-to-date, step-by-step guidance on causal analysis; which features worked example datasets throughout to see methods;

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Research Design in European Studies

A seminal text in European studies, which addresses issues of research design and causal analysis. The chapters draw on different;

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Causal Inferences and Abductive Reasoning

researchers could draw causal interpretations from the results of their studies remains a challenging yet interesting question. First, the question;

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Research Design in European Studies

A seminal text in European studies, which addresses issues of research design and causal analysis. The chapters draw on different;

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Causal Inf In Statistics Social

assess causal effects and then turn to observational studies. They lay out the assumptions needed for causal inference and describe the leading;

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Methods in Comparative Effectiveness Research

population levels. CER encompasses a very broad range of types of studies-experimental, observational, prospective, retrospective, and research;

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Basic Principles And Practical Applications In Epidemiological Research

simplifies the design and inferences of human observational studies into two types: descriptive and causal. It clarifies how and why causal inference;

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Causal Analysis in Biomedicine and Epidemiology

Provides current models, tools, and examples for the formulation and evaluation of scientific hypotheses in causal terms. Introduces a new;

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Causal Analysis in Biomedicine and Epidemiology

Provides current models, tools, and examples for the formulation and evaluation of scientific hypotheses in causal terms. Introduces a new;

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Causation, Evidence, and Inference

In this book, Reiss argues in favor of a tight fit between evidence, concept and purpose in our causal investigations in the sciences;

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Population and Development

establish a causal link between increases in population and poverty lead to a pragmatic, even manipulative approach to the issue of development;

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Population and Development

establish a causal link between increases in population and poverty lead to a pragmatic, even manipulative approach to the issue of development;

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